List of Publications

1. Dissertations

• Rodrigues, P.C. (2012). New strategies to detect and understand genotype-by-environment interactions and QTL-by-environment interactions. PhD Thesis, Faculty of Sciences and Technology, Nova University of Lisbon, Lisboa, Portugal.

• Rodrigues, P.C. (2007). Componentes Principais: o método e suas generalizações (Principal Components: the method and its generalizations). M.Sc Thesis, Instituto Superior Técnico, Technical University of Lisbon, Lisboa, Portugal (in Portuguese).

2. Books

• Dias, C.T.S., Hongyu, K., Araújo, L.B., Silva, M.J.C., Peña, M., Araújo, M.F.C., Rodrigues, P.C., Faria, P.N., Alarcón, S.A. (2014). A Metodologia AMMI: Com Aplicação ao Melhoramento Genético. Universidade de São Paulo, Piracicaba, 186 p. ISBN: 978-85-86481-36-9.

3. Refereed Papers in International Scientific Journals

1. Iftikhar, H., Khan, M., Turpo-Chaparro, J.E., Rodrigues, P.C., and López-Gonzales, J.L. (2023). Forecasting stock prices using a novel filtering–combination technique: Application to the Pakistan stock exchange. AIMS Mathematics (accepted)

2. López-Gonzales, J.L., Lamus, A.M.G., Torres, R., Rodrigues, P.C., and Salas, R. (2023). Self-Organizing Topological Multilayer Perceptron: A hybrid method to improve the forecasting of extreme pollution values. Stats, 6, 1241-1259. DOI: 10.3390/stats6040077

3. Sulandari, W., Yudhanto. Y., Subanti, S., Setiawan, C.D., Hapsari, R., and Rodrigues, P.C. (2023). Comparing the simple to complex automatic methods with the ensemble approach in forecasting electrical time series data. Energies, 16, 7495. DOI: 10.3390/en16227495

4. Oliveira Filho, F.M., Guedes, E.F, and Rodrigues, P.C. (2023). Networks analysis of climate data in the Brazilian state capitals based on the ρDCCA. PLOS ONE. DOI: 10.1371/journal.pone.0290838

5. Iftikhar, H., Turpo-Chaparro, J.E., Rodrigues, P.C., and López-Gonzales, J.L. (2023). Day-ahead electricity demand forecasting using a novel decomposition-ensemble method. Energies, 16, 6675. DOI: 10.3390/en16186675

6. Iftikhar, H., Turpo-Chaparro, J.E., Rodrigues, P.C., and López-Gonzales, J.L. (2023). Forecasting day-ahead electricity prices for the Italian electricity market using a new decomposition-combination technique. Energies, 16, 6669. DOI: 10.3390/en16186669

7. Iftikhar, H., Zafar, A., Turpo-Chaparro, J.E., Rodrigues, P.C., and López-Gonzales, J.L. (2023). Forecasting day-ahead Brent crude oil prices using hybrid combinations of time series models. Mathematics, 11, 3548. DOI: 10.3390/math11163548

8. Abdi, H., Bernosi, I., Jafarzadeh, J., and Rodrigues, P.C. (2023). Identification of novel putative alleles related to important agronomic traits of wheat using Robust-GWAS. Scientific Reports, 13, 9927. DOI: 10.1038/s41598-023-36134-z.

9. Solci, C.C., Reisen, V.A., and Rodrigues, P.C. (2023). Robust local bootstrap for weakly stationary time series in the presence of additive outliers. Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/s00477-023-02430-3

10. da Silva, K.L.S., López-Gonzales, J.L., Turpo-Chaparro, J.E., Tocto-Cano, E., and Rodrigues, P.C. (2023). Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais. Scientific Reports, 13, 3269. DOI: 10.1038/s41598-023-30365-w

11. Iftikhar, H., Bibi, N. Rodrigues, P.C., and López-Gonzales, J.L. (2023). Multiple novel decomposition techniques for time series forecasting: Application to monthly forecasting of electricity consumption in Pakistan. Energies, 16, 2579. DOI: 10.3390/en16062579

12. Kazemi, M. and Rodrigues, P.C. (2023). Robust singular spectrum analysis: Comparison between classic and robust approaches for model fit and forecasting. Computational Statistics. DOI: 10.1007/s00180-022-01322-4

13. Rodrigues, P.C. and Carfagna, E. (2022). Data Science Applied to Environmental Sciences. Environmetrics. DOI: 10.1002/env.2783

14. Fisher, N.I., Jeske, D.R., Müller, W.G., Rodrigues, P.C., and Ruggeri, F. (2022). The Evolution of Business and Industrial Statistics in the International Statistical Institute. Wiley StatsRef: Statistics Reference Online (accepted).

15. Neto, E.A.L, and Rodrigues, P.C. (2022). Kernel robust singular value decomposition. Expert Systems With Applications. DOI: j.eswa.2022.118555

16. Sulandari, W., Yudhanto, Y., and Rodrigues, P.C. (2022). The use of singular spectrum analysis and k-means clustering-based bootstrap to improve multistep ahead load forecasting. Energies, 15, 5838. DOI: 10.3390/en15165838

17. Sako, K., Mpinda, B.N., and Rodrigues, P.C. (2022). Neural Networks for Financial Time Series Forecasting. Entropy, 24, 657, DOI: 10.3390/e24050657

18. Mahmoudvand, R., Barati, M., Seif, A., Ranjbarian, S. and Rodrigues, P.C. (2022). Modeling water table depth using singular spectrum analysis. Statistics and its Interface (accepted)

19. Silva, J.V.R., and Rodrigues, P.C. (2022). All-NBA Teams’ selection based on unsupervised learning. Stats, 5, 154-171. DOI: 10.3390/stats5010011

20. da Silva, F., da Costa, K., Rodrigues, P.C., Salas, R., and López-Gonzales, J.L. (2022). Statistical and Artificial Neural Networks Models for electricity consumption forecasting in the Brazilian industrial sector. Energies, 15, 588. DOI: 10.3390/en15020588

21. Cordova, C.H., Portocarrero, M.N.L., Salas, R., Rodrigues, P.C., and López-Gonzales, J.L. (2021). Air Quality Assessment and Pollution Forecasting using Recurrent Artificial Neural Networks in Metropolitan Lima-Peru. Scientific Reports, 11, 24232. DOI: 10.1038/s41598-021-03650-9

22. Silva, J.V.R., and Rodrigues, P.C. (2021). The three Eras of the NBA regular seasons: Historical trend and success factors. Journal of Sports Analytics. DOI: 10.3233/JSA-200525

23. Pimentel, J., and Rodrigues, P.C. (2021). Clustering the world currency exchange rates using hierarchical methods based on dynamic time warping. Fluctuation and noise letters, 21, 2250001. DOI: 10.1142/S0219477522500018.

24. Iwanska, M., Paderewski, J., Stepien, M., and Rodrigues, P.C. (2021). Winter wheat cultivar recommendation based on expected environment productivity. Agronomy, 11, 522, DOI: 10.3390/agriculture11060522

25. Junior, E.D.S., Barbosa, G.O. and Rodrigues, P.C. (2021). Big data e políticas públicas. Bahia Análise & Dados, 30, 7–12.

26. Pimentel, J., and Rodrigues, P.C. (2021). Clustering the world currency exchange rates using hierarchical methods based on dynamic time warping. Fluctuation and noise letters (accepted)

27. Rodrigues, P.C. (2021). Simulated data from a genotype-to-phenotype crop growth model for pepper. Data in Brief (accepted)

28. Rodrigues, P.C. (2021). Two-way data tables of simulated genotype-by-environment interaction for pepper. Mendeley Data, V2, doi: 10.17632/76sjsc5j7v.2.

29. Encalada-Malca, A.A., Cochachi-Bustamante, J.D., Rodrigues, P.C., Salas, R., and López-Gonzales, J.L. (2021). A spatio-temporal visualization approach to the exploration of PM10 concentration data in Metropolitan Lima. Atmosphere 12, 609. DOI: 10.3390/atmos12050609.

30. Rodrigues, P.C., Nakamura, L.R., and Pereira, C.A.B. (2021). Editorial: Special issue on biostatistics and biometry in the Era of data science. Brazilian Journal of Biometrics, 39:1–6. DOI: 10.28951/rbb.v39i1.556.

31. Ekin, T., Puggioni, G. and Rodrigues, P.C. (2021). Foreword: Special issue of ASMBI for y-BIS 2019: Recent advances in business analytics and data science. Applied Stochastic Models in Business and Industry, 37:157-158. DOI: 10.1002/asmb.2610.

32. Rodrigues, P.C., Heuvelink, E., Marcelis, L.F.M., Chapman, S., and van Eeuwijk, F. (2021). An analysis of synthetic yield data for pepper shows how genotype by environment interaction in yield can be understood in terms of yield components and their QTLs. Crop Science. DOI: 10.1002/csc2.20476. (in press)

33. Pereira, C.A.B., Nakamura, L.R. and Rodrigues, P.C. (2021). Naive statistical analyses for COVID-19: Application to data from Brazil and Italy. Brazilian Journal of Biometrics. DOI: 10.28951/rbb.v39i1.515

34. Sulandari, W., Suhartono, S., Subanar, S., and Rodrigues, P.C. (2021). Exponential smoothing on modelling and forecasting multiple seasonal time series: An overview. Fluctuation and Noise Letters, 20, 2130003. DOI: 10.1142/S0219477521300032

35. Kazemi, M., Shahsavani, D., Arashi, M. and Rodrigues, P.C. (2021). Identification for partially linear regression model with autoregressive errors. Journal of Statistical Computation and Simulation (accepted). DOI: 10.1080/00949655.2020.1857763 [Indexed in ISI–Web of Science (IF2019 - 0.918)]

36. Mesquita, V.B., Oliveira Filho, F.M. and Rodrigues, P.C. (2021). Detection of crossover points in detrended fluctuation analysis: An application to EEG signals of patients with epilepsy. Bioinformatics. (in press). DOI: 10.1093/bioinformatics/btaa955[Indexed in ISI–Web of Science (IF2019 - 5.610)]

37. Mahmoudvand, R. and Rodrigues, P.C. (2021). Prediction intervals for the vector singular spectrum analysis forecasting algorithm in a median based singular spectrum analysis. Computational and Mathematical Methods 1, e1080. DOI: 10.1002/CMM4.1080

38. Sulandari, W., Subanar, Lee, M.H. and Rodrigues, P.C. (2020). Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks. MethodsX 7,101015. DOI: 10.1016/j.mex.2020.101015

39. Arciniegas-Alarcón, S., García-Peña, M. and Rodrigues, P.C. (2020). New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes. Computers and Electronics in Agriculture (Accepted) [Indexed in ISI–Web of Science (IF2019 - 3.858)]

40. Awe, O.O, Mahmoudvand, R. and Rodrigues, P.C. (2020). Non-negative time series reconstruction via singular spectrum analysis: A case study of precipitation dynamics in Nigeria. Fluctuation and noise letters. (accepted) [Indexed in ISI–Web of Science (IF2018 - 0.913)]

41. Rodrigues, P.C., Awe, O.O, Pimentel, J. and Mahmoudvand, R. (2020). Modelling the behaviour of currency exchange rates with singular spectrum analysis and artificial neural networks. Stats 3, 137–157. DOI: 10.3390/stats3020012.

42. Iwanska, M., Paderewski, J., Stepien, M., and Rodrigues, P.C. (2020). Adaptation of winter wheat cultivars to different environments: A case study in Poland. Agronomy 10, 632. DOI: 10.3390/agronomy10050632. [Indexed in ISI–Web of Science (IF2018 - 2.259)]

43. Rodrigues, P.C., Pimentel, J., Messala, P., Kazemi, M. (2020). Decomposition and forecasting of mutual investment funds using singular spectral analysis. Entropy 22, 83. DOI: doi:10.3390/e22010083. [Indexed in ISI–Web of Science (IF2018 - 2.419)]

44. Mahmoudvand and Rodrigues, P.C. (2020). Prediction intervals for the vector SSA forecasting algorithm in a median based singular spectrum analysis. Computational and Mathematical Methods. DOI: 10.1002/CMM4.1080 (in press)

45. Rodrigues, P.C., Almeida, R. and Musafa, K. (2020). The usefulness of robust multivariate methods: A case study with the menu items of a fast food restaurant chain. Ciência e Natura 42, e17. DOI: 10.5902/2179460X39892

46. Sulandari, W., Subanar, Suhartono, Utami, H., Lee, M.H. and Rodrigues, P.C. (2020). SSA based hybrid forecasting models and applications. Bulletin of Electrical Engineering and Informatics 9, 2178–2188. DOI: 10.11591/eei.v9i5.1950

47. Subanar, Sulandari, W., Lee, M.H. and Rodrigues, P.C. (2020). Indonesian electricity load forecasting using singular spectrum analysis. Energy. 190:116408. DOI: 10.1016/j.energy.2019.116408. [Indexed in ISI–Web of Science (IF2018 - 5.537)]

48. Rodrigues, P.C. and Lourenço, V.M. (2020). Discussion of “Hierarchical Inference for genomewide association studies: a view on methodology with software” by Renaux, C., Buzdugan, L., Kalisch, M. and Bühlmann, P.  Computational Statistics. 35:57–58 DOI: 10.1007/s00180-019-00941-8. [Indexed in ISI–Web of Science (IF2018 - 0.680)]

49. Rodrigues, P.C. and Mahmoudvand, R. (2020). A new approach for the vector forecast algorithm in singular spectrum analysis. Communications in Statistics: Simulation and Computation. 49:591–605 DOI: 10.1080/03610918.2019.1664578. [Indexed in ISI–Web of Science (IF2018 - 0.490)]

50. Kazemi, M., Shahsavani, D., Arashi, M. and Rodrigues, P.C. (2020). Estimation in partial linear model with spline modal function. Communications in Statistics - Simulation and Computation. DOI: 10.1080/03610918.2019.1622716 (published online) [Indexed in ISI–Web of Science (IF2018 - 0.490)]

51. Pereira, A.C.C., Castro, G.L.S., Rodrigues, P.C., Silva, G.B., Oliveira, D.A. and Souza, C.R.B. (2019). An endophytic Pseudomonas sp. of Piper tuberculatum promotes growth on Piper nigrum through increase of root biomass production. Physiological and Molecular Plant Pathology. 108, 101420. DOI: 10.1016/j.pmpp.2019.101420. [Indexed in ISI–Web of Science (IF2018 - 1.678)]

52. Mahmoudvand, R., Rodrigues, P.C. and Yarmohammadi, M. (2019). Forecasting daily exchange rates: A comparison between SSA and MSSA. RevStat-Statistical Journal. 17:599–616. [Indexed in ISI–Web of Science (IF2016 - 0.484)]

53. Mahmoudvand, R. and Rodrigues, P.C. (2019). Predicting the Brexit outcome using singular spectrum analysis. Journal of Computational Statistics and Modeling. 1:9-15.

54. Paderewski, J. and Rodrigues, P.C. (2018). Constrained AMMI model: Application to Polish winter-wheat post-registration data. Crop Science. 58:1458–1469. DOI: 10.2135/cropsci2017.06.0347. [Indexed in ISI–Web of Science (IF2016 - 1.629)]

55. Rodrigues, P.C. (2018). Statistical methods to detect and understand genotype-by-environment interaction and QTL-by-environment interaction. Biometrical Letters. 55:123-138. DOI: 10.2478/bile-2018-0009.

56. Rodrigues, P.C., Lourenço, V.M. and Mahmoudvand, R. (2018). A robust approach to singular spectrum analysis. Quality and Reliability Engineering International. 34:1437–1447. DOI: 10.1002/qre.2337 [Indexed in ISI–Web of Science (IF2016 - 1.366)]

57. Rodrigues, P.C. and Porcu, E. (2018). Preface (Editorial for the Special Issue devoted to the 2nd Latin American Conference on Statistical Computing). Journal of Statistical Computation and Simulation. 88:1847–1849. DOI: 10.1080/00949655.2018.1463611. [Indexed in ISI–Web of Science (IF2016 - 0.757)]

58. Rodrigues, P.C., Tuy, P.G.S.E. and Mahmoudvand, R. (2018). Randomized singular spectrum analysis for long time series. Journal of Statistical Computation and Simulation. 88:1921–1935. DOI: 10.1080/00949655.2018.1462810. [Indexed in ISI–Web of Science (IF2016 - 0.757)]

59. Assis, T.O.G., Dias, C.T.S. and Rodrigues, P.C. (2018). A weighted AMMI algorithm for non-replicated data. Pesquisa Agropecuária Brasileira 53:557-565. [Indexed in ISI–Web of Science (IF2016 - 0.542)]

60. Rodrigues, P.C. and Mahmoudvand, R. (2018). The benefits of multivariate singular spectrum analysis over the univariate version. Journal of the Franklin Institute. 355:544–564. DOI: 10.1016/j.jfranklin.2017.09.008. [Indexed in ISI–Web of Science (IF2016 - 3.139)]

61. Mahmoudvand, R. and Rodrigues, P.C. (2018). A New Parsimonious Recurrent Forecasting Model in Singular Spectrum Analysis. Journal of Forecasting. 37:191-200. DOI: 10.1002/for.2484. [Indexed in ISI–Web of Science (IF2016 - 0.747)]

62. Lourenço, V., Rodrigues, P.C., Pires, A.M. and Piepho, H.-P. (2017). A robust DF-REML framework for variance components estimation in genetic studies Bioinformatics. 33:3584-3594. DOI: 10.1093/bioinformatics/btx457. [Indexed in ISI–Web of Science (IF2016 - 7.307)]

63. Mahmoudvand, R., Konstantinides, D. and Rodrigues, P.C. (2017). Forecasting Mortality Rate by Multivariate Singular Spectrum Analysis. Applied Stochastic Models in Business and Industry. 33:717-732. DOI: 10.1002/asmb.2274. [Indexed in ISI–Web of Science (IF2016 - 1.095)]

64. Marques, F.J., Coelho, C.A. and Rodrigues, P.C. (2017). Testing the equality of several linear regression models. Computational Statistics. 32:1453-1480 [Indexed in ISI–Web of Science (IF2015 - 0.520)] 

65. Rodrigues, P.C. and Mahmoudvand, R. (2016). Correlation analysis in contaminated data by singular spectrum analysis. Quality and Reliability Engineering International. 32:2127-2137. DOI: 10.1002/qre.2027 [Indexed in ISI–Web of Science (IF2015 - 1.457)]

66. Mahmoudvand, R. and Rodrigues, P.C. (2016). Missing value imputation in time series using Singular Spectrum Analysis. International Journal of Energy and Statistics 4. DOI: 10.1142/S2335680416500058

67. Rodrigues, P.C., Monteiro, A., and Lourenço, V.M. (2016). A Robust additive main effects and multiplicative interaction model for the analysis of genotype-by-environment data. Bioinformatics 32:58–66. DOI: 10.1093/bioinformatics/btv533 [Indexed in ISI–Web of Science (IF2014 - 4.981)]

68. Rodrigues, P.C. and Laber, E. (2016). Preface (Editorial for the Special Issue devoted to the Joint Meeting of y-BIS and jSPE). Communications in Statistics - Simulation and Computation 45:2657-2657. 10.1080/03610918.2015.1111110 [Indexed in ISI–Web of Science (IF2014 - 0.325)]

69. Mahmoudvand, R., Alehosseini, F. and Rodrigues, P.C. (2015). Forecasting Mortality Rate by Singular Spectrum Analysis. RevStat 13:193–206. [Indexed in ISI–Web of Science (IF2014 - 1.400)]

70. Rodrigues, P.C., Malosetti, M., Gauch, H.G. and van Eeuwijk, F.A. (2014). A weighted AMMI algorithm to study genotype-by-environment interaction and QTL-by-environment interaction. Crop Science 54:1555–1570. DOI: 10.2135/cropsci2013.07.0462 [Indexed in ISI–Web of Science (IF2013 - 1.478)]

71. Paderewski, J. and Rodrigues, P.C. (2013). The usefulness of EM-AMMI to study the influence of missing data pattern and application to Polish post-registration winter wheat data. Australian Journal of Crop Science 8:640–645.  [Indexed in ISI–Web of Science (IF2011 - 1.632)]

72. Rodrigues, P.C., Moreira, E. Jesus, V.M. and Mexia, J.T. (2013). Structured orthogonal families of one and two strata prime basis factorial models. Statistical Papers DOI: 10.1007/s00362-013-0507-0 (in press) [Indexed in ISI–Web of Science (IF2012 - 0.683)]

73. Rodrigues, P.C. and de Carvalho, M. (2013). Spectral modeling of time series with missing data. Applied Mathematical Modelling 37:4676–4684. DOI 10.1016/j.apm.2012.09.040. [Indexed in ISI–Web of Science (IF2011 - 1.579)]

74. Rodrigues, P.C. and de Carvalho, M. (2013). Preface (Editorial for the Special Issue devoted to the 17th edition of the European Young Statisticians Meetings). Communications in Statistics - Theory and Methods 42:1143–1144. DOI 10.1080/03610926.2013.759778. [Indexed in ISI–Web of Science (IF2011 - 0.274)]

75. Alimi, N.A., Bink, M.C.A.M., Dieleman, J.A., Nicolai, M., Wubs, M., Heuvelink, E., Magan, J.J., Voorrips, R.E., Jansen, J., Rodrigues, P.C., Vercauteren, A., Vuylsteke, M., Song, Y., Glasbey, C., Barocsi, A., Lefebvre, V., Palloix, A. and van Eeuwijk, F.A. (2013). Genetic and QTL analyses of yield and a set of physiological traits in pepper. Euphytica. DOI 10.1007/s10681-012-0767-0 (in press) [Indexed in ISI–Web of Science (IF2011 - 1.554)]

76. Pereira, D., Rodrigues, P.C., Mejza, I., Mejza, S. and Mexia, J.T. (2012). Analyzing genotypes by environment interaction by curvilinear regression. Scientia Agricola 69:357–363. DOI: 10.1590/S0103-90162012000600003. [Indexed in ISI–Web of Science (IF2011 - 0.864)]

77. Pereira, D.*, Rodrigues, P.C.*, Mejza, S., Mexia (2012). A comparison between Joint Regression Analysis and AMMI: a case study with barley. Journal of Statistical Computation and Simulation 82: 193–207. DOI: 10.1080/00949655.2011.615839. *These authors contributed equally to this paper. [Indexed in ISI–Web of Science (IF2010 - 0.469)]

78. Lima, A.T., Rodrigues, P.C., Loch, J.P.G. (2012). Analysis of metal ions migration to determine electro-osmotic flow for the in-situ cleanup of a tar-contaminated site. Geoderma 173: 119–127. DOI: 10.1016/j.geoderma.2011.12.026. [Indexed in ISI–Web of Science (IF2010 - 2.178)]

79. de Carvalho, M., Rodrigues, P.C. and Rua, A. (2012). Tracking the US business cycle with a singular spectrum analysis. Economics Letters 114: 32–35 [Indexed in ISI–Web of Science (IF2010 - 0.449)]

80. Rodrigues, P.C., Pereira, D. and Mexia, J.T. (2011). A comparison between JRA and AMMI: the robustness with increasing amounts of missing data. Scientia Agricola 68: 679–686 [Indexed in ISI–Web of Science (IF2010 - 0.816)]

81. Paderewski, J., Gauch, H.G., Madry, W., Drzazga and Rodrigues, P.C. (2011). Yield Response of Winter Wheat to Agro-Ecological Conditions Using AMMI and Cluster Analysis. Crop Science 51: 969–980 [Indexed in ISI–Web of Science (IF2009 - 2.020)] 

82. Gauch, H.G., Rodrigues, P.C., Munkvold, J.D., Heffner, E.L. and Sorrells, M. (2011). Two New Strategies for Detecting and Understanding QTL by Environment Interactions. Crop Science 51: 96–113. [Indexed in ISI–Web of Science (IF2009 - 2.020)]  

83. Lima, A.T., Rodrigues, P.C. and Mexia (2010). Biregressional modelling heavy metal electroremediation of fly ash from different wastes. Journal of Hazardous Materials 157: 366–371. [Indexed in ISI–Web of Science (IF2009 - 3.723)]

84. Rodrigues, P.C. and Lima, A.T. (2009). Analysis of an European union election using principal component analysis. Statistical Papers 50: 895-904. DOI 10.1007/s00362-009-0264-2. [Indexed in Current Index to Statistics, MathSciNet and ISI–Web of Science (IF2009 - 0.595)] 

85. Jesus, V.M., Mexia, J.T. and Rodrigues, P.C. (2009). Binary operations on orthogonal models, application to prime basis factorials and fractional replicates. Journal of Statistical Theory and Practice 3: 505-521. [Indexed in Current Index to Statistics and MathSciNet]

86. Rodrigues, P.C., Mejza, S. and Mexia, J.T. (2009). Structuring Genotype x Environment Interaction: an Overview. Bulletin of Plant Breeding and Acclimatization Institute 250: 225–236.

87. Pereira, D., Mexia, J.T. and Rodrigues, P.C. (2007). Robustness of the Joint Regression Analysis. Biometrical Letters 44(2): 105–128. [Indexed in Current Index to Statistics]

88. Rodrigues, P.C., Mexia, J.T. and Pereira, D. (2007). Analysis of Portuguese Life Tables. Biometrical Letters 44(2): 129–142. [Indexed in Current Index to Statistics]

89. Jesus, V., Rodrigues, P.C. and Mexia, J.T. (2007). Inference for random effects in prime basis factorials using commutative Jordan algebras. Discussiones Mathematicae - Probability and Statistics 27: 15–25. [Indexed in Current Index to Statistics and MathSciNet]

90. Rodrigues, P.C. (2007). A comparison between Principal Component Analysis and Nonlinear Principal Component Analysis. Biometrical Letters 44(1): 33–50. [Indexed in Current Index to Statistics]

91. Rodrigues, P.C. and Mexia, J.T. (2006). ANOVA using commutative Jordan algebras. Discussiones Mathematicae - Probability and Statistics 26: 179–191. [Indexed in Current Index to Statistics and MathSciNet]

4. Chapters in Books with Referee

1. Sulandari, W., Yudhanto, Y., and Rodrigues, P.C. (2023). The use of singular spectrum analysis and k-means clustering-based bootstrap to improve multistep ahead load forecasting. In: Intelligent Forecasting and Optimization in Electrical Power Systems. Piotrowski, P., Dudek, G. and Baczyński D. Eds. MDPI, pp. 203–224. ISBN: 978-3-0365-9081-3. DOI: 10.3390/books978-3-0365-9081-3

2. Pereira, D., Rodrigues, P.C., Mejza, I., Mejza, S. and Mexia, J.T. (2021). Structuring genotype X environment interaction by regression techniques. In: Recent Progress in Plant and Soil Research Vol. 2. Iriti, M. Ed. Book Publisher International. ISBN: 978-93-91473-25-9. DOI: 10.9734/bpi/rppsr/v2/2326F

3. Rodrigues, P.C., Pimentel, J.,Messala, P., and Kazemi, M. (2021). Decomposition and forecasting of mutual investment funds using singular spectral analysis. In: Data Science: Measuring Uncertainties. Pereira, C.A.B., Polpo, A. and Rodrigues A. Eds. MDPI, pp. 59–80. ISBN: 978-3-0365-0793-4

4. Lima, A.T. and Rodrigues, P.C. (2011). Fly ashes management: Fuel type, remediation and standardization. In: Hazardous Materials: Types, Risks, and Control. Brar, S.K., Ed. Nova Science Publishers, Inc. pp. 361–377. ISBN: 978-1-61324-425-8.

5. Pereira, D.G., Rodrigues, P.C., Oliveira, A. and Mexia, J.T. (2009). Joint Regression Analysis and Completed Joint Regression Analysis. Chapter 7 In: Plant Breeding. Huttunen, N. and Sinisalo, T., Eds. Nova Science Publishers, Inc. pp. 227–253. ISBN: 978-1-61668-211-8.

5. Refereed Papers in Proceedings

1. Carfagna, E., Di Fonzo, G., Lasinio, G.J., and Rodrigues, P.C. (2023). Data science structure and the role of statistics. Proceedings of the ISI WSC 2023, Ottawa, Canada, July 16-20, 2023, p.1-5.)

2. Costa, N., Oliveira, L., and Rodrigues, P.C. (2023). Active Deep Learning for Seismic Facies Classification. Proceedings of the First EAGE Conference on Deepwater Equatorial Margin: New Energy Frontier for South America, Rio de Janeiro, Brazil, August 2023, Volume 2023, p.1-5. DOI: 10.3997/2214-4609.202380014.)

3. Arminian, A., Ozgur, C. and Rodrigues, P.C. (2019). Novel macros for advanced statistical methods and stability analyses in plant breeding experiments. Proceedings of the 50th Annual Conference of the Decision Sciences Institute, New Orleans, Louisiana, USA (accepted)

4. Lourenço, V.M., Fonseca, M., Pires, A.M. and Rodrigues, P.C. (2015). “Robust heritability estimation in plant studies”. Proceedings of the 60th World Statistics Congress of the International Statistical Institute 2015, Rio de Janeiro, Brazil.

5. Rodrigues, P.C., Monteiro, A.F. and Lourenço, V.M. (2014). “New insights into the usefulness of robust singular value decomposition in statistical genetics”. Proceedings of the CompStat 2014, 20th International Conference on Computational Statistics.

6. Assis, T.O.G., Dias, C.T.S. and Rodrigues, P.C. (2014). Modelo AMMI e AMMI ponderado na análise da Interação Genótipo x Ambiente em milho. Proceedings of the SINAPE 2014 – 21 SINAPE - Simpósio Nacional de Probabilidade e Estatística, Ponta Negra, Natal-RN, Brazil.

7. Rodrigues, P.C. (2013). Comparison of algorithms for weighted low-rank approximations and application to plant genetics. Proceedings of the Joint Meeting of the IASC Satellite Conference for the 59th ISI WSC and the 8th Conference of the Asian Regional Section of the IASC, Seoul, Korea (Sang-Hoon Cho Ed.). pp. 238–242.

8. de Carvalho, M., Rodrigues, P.C. and Rua, A. (2011). Extracção da Componente Cíclica da Economia Norte-Americana através de Métodos Espectrais Singulares. Actas do Encontro Nacional da Sociedade Portuguesa de Matemática 2010, ESTG-IPL. [Indexed in MathSciNet]

9. Rodrigues, P.C., Mejza, S. and Mexia, J.T. (2008). “Application of multivariate techniques to genotype x environment interaction”. Proceedings of the XVIII Summer School of Biometrics, pp. 155-167.

10. Rodrigues, P.C. and de Carvalho, M. (2008). “Monitoring Calibration of the Singular Spectrum Analysis Method”. Proceedings of the CompStat 2008, 18th International Conference on Computational Statistics (P. Brito Ed.). Physica-Verlag, pp. 955-964.

11. Rodrigues P.C. and Lima, A.T. (2008). “Cd and Cu migration during electrolialysis: biregressional modelling”. Proceedings of the 23th International Workshop on Statistical Modelling, pp. 155-158.

12. Rodrigues, P.C. and Branco, J. (2008) Componentes Principais não lineares: Uma aplicação a dados de Insuficiência Cardíaca. Proceedings of the V Conference of Statistics and Quality in the Health, pp. 32-38.

13. Rodrigues, P.C. and Mexia, J.T. (2008). Actualização de tabelas de mortalidade autocorrectivas. Proceedings of the XV Conference of the Portuguese Statistical Society, pp 489-502.

14. de Carvalho, M., Rodrigues, P.C. and Silva, J. (2008). A Singular Spectrum Analysis Of The New York Stock Exchange Composite Index. Proceedings of the 31st Annual Congress of the European Accounting Association, Rotterdam, The Netherlands (http://www.parthenimpact.com/eventure/publicAbstractView.do?id=62989).

15. de Carvalho, M. and Rodrigues, P.C. (2007). Forecasting the Unemployment Rate in the Euro Area Proceedings of the EC2 meeting - Recent Advances in Econometric Time Series (http://www.fe.ualg.pt/conf/ec2/EC2Program/EC2Program.htm).

16. Rodrigues, P.C. (2007) Principal Component Analysis of Dependent Data. Proceedings of the 15th European Young Statisticians Meeting - EYSM (in CD).

17. Rodrigues, P.C., Oliveira, M. M. and Mexia, J. T. (2007) PLS regression of Economical Data. Proceedings of the 56th Session of the ISI - International Statistical Institute (in CD).

18. Rodrigues, P.C., Jesus, V. M. and Mexia, J.T. (2007). Matrizes de incidência factorial e álgebras de Jordan comutativas para factoriais de base prima. Estatística: Ciência Interdisciplinar - Proceedings of the XIV Conference of the Portuguese Statistical Society, pp. 663-672.

19. Rodrigues, P.C. and Branco, J. (2007). Análise de Componentes Principais sobre dados dependentes. Estatística: Ciência Interdisciplinar - Proceedings of the XIV Conference of the Portuguese Statistical Society, pp. 653-662.

20. Rodrigues, P.C. and Branco, J. (2007) Principal Component Analysis of Electoral Data. Proceedings of the 22nd International Workshop on Statistical Modelling, pp. 629-636.

21. Rodrigues, P.C. and Mexia, J.T. (2006). Álgebras de Jordan comutativas na Análise de Variância: uma aplicação, Ciência Estatística - Proceedings of the XIII Conference of the Portuguese Statistical Society, pp. 629-636.

22. Rodrigues, P.C. and Mexia, J.T. (2005). Estimação de componentes de variância em modelos equilibrados com cruzamento e encaixe, Estatística Jubilar - Proceedings of the XII Conference of the Portuguese Statistical Society, pp. 657-667.

6. Other Publications

1. 2013 – O Ano Internacional da Estatística. ISLAnews, Newsletter of the ISLA Campus Lisboa, Laureate International Universities, January 2013 (http://217.116.9.147/isla/mirror/islanewsjaneiro2013).

2. Welcome to the International Year of Statistics! First entry of the Statistics2013 blog, devoted to the International Year of Statistics, January 2013 (http://www.statistics2013.org/2012/11/26/blog/).

3. Final Report on the Joint Meeting of y-BIS and jSPE. Newsletter of the International Statistical Institute, September 2012 (http://www.isi-web.org/images/news/2012-Sept-ISBIS-Final%20Report_Joint%20Meeting_y-BIS+jSPE.pdf).

4. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 5 - Issue 2, August 2012 (http://isbis.org/newsletter/ISBIS-Newsletter-Aug2012.pdf).

5. Review for the American Mathematical Society of the article MR2878952: Trendafilov, N.T. and Unkel, S. (2011). Exploratory factor analysis of data matrices with more variables than observations. Journal of Computational and Graphical Statistics 20, 874–891.

6. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 5 - Issue 1, March 2012 (http://www.isbis.org/newsletter/NEWSLETTER5-1-10.pdf).

7. Review for the American Mathematical Society of the article MR2829854: Ni, L. (2011). Principal component regression revisited. Statist. Sinica 21, 741–747;

8. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 4 - Issue 1, April 2011 (http://www.isbis.org/newsletter/NEWSLETTER4-2-10.pdf).

9. Review for the American Mathematical Society of the article MR2779638: Prendergast, L.A., Smith, J.A. (2010). Influence functions for dimension reduction methods: an example influence study of principal Hessian direction analysis. Scand. J. Stat. 37(4), 588–611;

10. Final Report on the 17th European Young Statisticians Meeting. Newsletter of the International Statistical Institute, September 2011 (http://isi-web.org/images/news/2011-BS-Sept-Report17thEYSM.pdf).

11. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 4 - Issue 1, April 2011 (http://www.isbis.org/newsletter/NEWSLETTER4-1-10.pdf).

12. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 3 - Issue 3, December 2010 (http://www.isbis.org/newsletter/NEWSLETTER3-3-10.pdf).

13. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 3 - Issue 2, July 2010 (http://www.isbis.org/newsletter/NEWSLETTER3-2-10.pdf).

14. Researcher Wins ASA/NISS Award. AMSTATnews – Newsletter of the American Statistical Association. Issue 400, October 2010 (http://magazine.amstat.org/).

15. Review for the American Mathematical Society of the article MR2572637: Cook, R.D., Li, L. (2009). Dimension reduction in regressions with exponential family predictors. J. Comput. Graph. Statist. 18(3), 774–791.

16. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 3 - Issue 1, March 2010 (http://www.isbis.org/newsletter/NEWSLETTER3-1-10.pdf).

17. Carvalho, F., Rodrigues, P.C. Moreira, E. and Fonseca, M. (2010). The Friend and Professor João Tiago Mexia. Book of Abstracts of the LinStat 2010 - International Conference on Trends and Perspectives in Linear Statistical Inference, Portugal, pp. 275–282.

18. de Carvalho, M., Rodrigues, P.C. and Rua, A. (2010). Tracking the US business cycle with a singular spectrum analysis. Working paper 9/2010, Portuguese Central Bank, Portugal.

19. Heuvelink, E. and Rodrigues, P.C. (2010). Adapted ecophysiological models, suitable for QTL-analysis. EU SPICY Deliverable D3.1.2, EU Smart tools for Prediction (and) Improvement of Crop Yield (SPICY) project annual report.

20. Review for the American Mathematical Society of the article Rokhlin, V., Szlam, A., Tygert, M. (2009). A randomized algorithm for principal component analysis. SIAM J. Matrix Anal. Appl. 31(3), 1100–1124. 65F15 (65C60).

21. de Carvalho, M. and Rodrigues, P.C. (2010). Métodos de Análise Espectral Singular - Implementação Computacional. Boletim da Sociedade Portuguesa de Estatística. Primavera de 2010, pp. 42–51.

22. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 3 - Issue 1, March 2010 (http://www.isbis.org/newsletter/NEWSLETTER3-1-10.pdf).

23. ISBIS Young Statisticians Group (y-BIS). Newsletter of the International Statistical Institute. Volume 34, No. 1 (100) 2010 (http://isi.cbs.nl/Nlet/NLet101-sections.htm).

24. The y-BIS column. Newsletter of the International Society for Business and Industrial Statistics. Volume 2 - Issue 3, September 2009 (http://www.isbis.org/newsletter/NEWSLETTER2-3-09.pdf).