Latest News

Latest news

• All the latest news about my research and activities and those of my colleagues and students at SaLLy can be found on SaLLy's website, Instagram, and LinkedIn.

• November 20, 2023: Today, I started six months as a Visiting Professor at Monash University, Melbourne, Australia, to work in time series forecasting with Rob Hyndman and other colleagues.

• November 1, 2023: We welcome Dr. Zeinab Jannoo as a post-doc to work at SaLLy.

• October 28, 2023: The 1st SaLLy Day was a success. More information at https://sally.ufba.br/1stSaLLyDay.html.

• October 6, 2023: Today, I start a two-year term as President-Elect of the International Association for Statistical Computing.

• October 1, 2023: We welcome Dr. Yuvraj Sunecher as a post-doc to work at SaLLy.

• July 20, 2023: Today, I started a two-year term as President of the International Society for Business and Industrial Statistics.

• July 14, 2023: Nayguel Costa has successfully defended his MSc thesis in Statistics of the MSc program in Mathematics of the Federal University of Bahia, Brazil. His thesis was entitled "Deep active learning for seismic facies classification" and was supervised by Professor Paulo Canas Rodrigues and co-supervised by Professor Luciano Oliveira. Congratulations Nayguel!

• June 8, 2023: Steve Takouan Tchounga has successfully defended his MSc thesis at African Institute for Mathematical Sciences (AIMS) Cameroon, with an overall grade of Good Pass. His thesis was entitled "Hybrid methods for multivariate time series forecasting," supervised by Professor Paulo Canas Rodrigues, and received the grade Distinction. Congratulations Steve!

• June 6, 2023: Loic Kouokam has successfully defended his MSc thesis at African Institute for Mathematical Sciences (AIMS) Cameroon, with an overall grade of Very Good Pass. His thesis was entitled "Hybrid methods for time series forecasting" and was supervised by Professor Paulo Canas Rodrigues. Congratulations Loic!

• April 14, 2023: New paper accepted in Stochastic Environmental Research and Risk Assessment: 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. 10.1007/s00477-023-02430-3

• March 15, 2023: New paper accepted in Scientific Reports: 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.

• March 9, 2023: New paper published in Energies: 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

• January 20, 2023: New paper accepted in Computational Statistics: 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

• December 31, 2022: New paper published in the Brazilian Journal of Biometrics: Rodrigues, P.C., Fernandes, T., Scalon, J.D., and Malheiros, E.B. (2022). Editorial - 40th Anniversary of the Brazilian Journal of Biometrics. Brazilian Journal of Biometrics, 40, 367–370. DOI: 10.28951/bjb.v40i4.600

• December 31, 2022: New paper published in the Brazilian Journal of Biometrics: Oliveira G.P., Fonseca, A., and Rodrigues, P.C. (2022). Diabetes diagnosis based on hard and soft voting classifiers combining statistical learning models. Brazilian Journal of Biometrics, 40, 415–427. DOI: 10.28951/bjb.v40i4.605.

• December 16, 2022: New paper published in Wiley StatsRef: Statistics Reference Online: 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.

• December 16, 2022: Our paper Rodrigues et al., Crop Sci. 2021, 61:1826-1842, doi.org/10.1002/csc2.20476, received the prestigious 2022 Outstanding Papers in Crop Breeding and Genetics Award, from the Crop Science Society of America. The text reads: "Congratulations on your recent CSSA Division Outstanding Paper Award. The selection is based on evaluation of how the article has advanced knowledge in the profession, the effectiveness of communication, originality, and impact. Your contribution to your field by publishing high impact work is valued and appreciated."

• December 5, 2022: New paper accepted in Environmentrics: Rodrigues, P.C. and Carfagna, E. (2022). Data Science Applied to Environmental Sciences. Environmetrics. DOI: 10.1002/env.2783

• December 3, 2022: My student João Silva was awarded the 2nd Best Poster on Statistics and Data Science, at the 4th Conference on Statistics and Data Science, with the paper Different faces of defense: Studying the National Basketball Association’s (NBA) defensive positions (by Silva, J.V.R. and Rodrigues, P.C.)

• December 3, 2022: My student Carlo Solci was awarded the 3rd Best Poster on Statistics and Data Science, at the 4th Conference on Statistics and Data Science, with the paper Robust local bootstrap for stationary time series with missing data (by Solci, C.C., Reisen, V.A., and Rodrigues, P.C.)

• October 10, 2022: Today, I started a two-year term as Head of the Department of Statistics, of the Federal University of Bahia.

• October 03, 2022: Today, I gave a keynote talk at the International Conference on Mathematics, Computational Sciences, and Statistics (ICoMCoS 2022), Universitas Airlangga, Surabaya, Indonesia, entitled “The usefulness of singular spectrum analysis in hybrid methodologies for time series forecasting.”

• September 23, 2022: Today, my PhD student (jointly with Valderio Reisen) Carlo Solci successfully defended his thesis entitled "Local bootstrap for incomplete stationary time series in the presence of Atypical observations: Applications to problems in the air quality area," at the Federal University of Espírito Santo, ES, Brazil

• September 09, 2022: Today I gave a seminar at the University of Valparaiso, Chile, entitled “Singular spectrum analysis: Methodology and applications.”

• September 03, 2022: Today, I gave a keynote talk at the 6th International Conference on Mathematics and Mathematics Education, Universitas Negeri Padang, Sumatera Barat, Indonesia, entitled “Statistical learning: Transforming data into information.”

• August 18, 2022: New paper accepted in Expert Systems With Applications.: Neto, E.A.L, and Rodrigues, P.C. (2022). Kernel robust singular value decomposition. Expert Systems With Applications.

• August 11, 2022: New paper published in Energies: 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.

• July 7, 2022: Today, my PhD student Javier Lopez defended successfully his thesis entitled "Time series forecasting using a hybrid method based on singular spectrum analysis and artificial neural networks with application to air quality", at the Universidad de Valparaíso, Chile

• June 30, 2022: I am editing a Special Issue of the scientific journal Stats entitled "Statistical Learning for High-Dimensional Data". Please consider submitting your research to this special issue. More information here.

• June 20, 2022: Today I gave a talk at the International Symposium for Business and Industrial Statistics 2022, Naples, Italy, entitled “Time series forecasting using ensemble and hybrid methodologies”

• June 13, 2022: Today, my MSc student Josue Nguinabe defended successfully his thesis entitled "Bootstrap Prediction Intervals for Time Series Forecasting using Long Short Term Memory", at the African Institute for Mathematical Sciences, in Cameroon

• June 8, 2022: Today, my MSc student Ariane Meli Chrisko defended successfully her thesis entitled "Hierarchical Time Series Forecasting: Application to the Number of Brazilian Wildfires", at the African Institute for Mathematical Sciences, in Cameroon (with distinction)

• May 7, 2022: New paper published in Entropy: Sako, K., Mpinda, B.N., and Rodrigues, P.C. (2022). Neural Networks for Financial Time Series Forecasting. Entropy, 24, 657.

• February 9, 2022: New paper published in Stats: Silva, J.V.R., and Rodrigues, P.C. (2022). All-NBA Teams’ selection based on unsupervised learning. Stats, 5, 154-171.

• January 14, 2022: New paper published in Energies: 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.

• December 20, 2021: New paper published in Scientific Reports: 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.

• October 1, 2021: Today I gave a talk on the 3º Encontro Paraibano de Estatística - EPBEST, entitled "Previsão de series temporais usando análise espetral singular, sistemas difusos e redes neurais". [video]

• July 23, 2021: Today I started a two-year term as President-Elect of the International Society for Business and Industrial Statistics (ISBIS; July 2020 – July 2023; President between July 2023 and July 2025)

• July 23, 2021: Today I started a two-year term as the (Founding) Chair of the Special Interest Group on Data Science, of the International Statistical Institute (July 2020 – July 2023)

• July 11, 2021: For the next six days I will be attending the ISI WSC 2021, where I am moderating the Networking Reception Room on Data Science, organizing an IPS, giving a talk on "Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks", and participating in many other activities.

• July 6, 2021: Today, my MSc student Kady Sako defended successfully her thesis entitled "Neural Networks For Stock Market Forecasting", at the African Institute for Mathematical Sciences, in Cameroon

• July 1, 2021: Today I start a four years term as a member of the Representative Council of the International Biometric Society

• June 4, 2021: New paper published in Agronomy: Iwanska, M., Paderewski, J., Stepien, M., and Rodrigues, P.C. (2021). Winter wheat cultivar recommendation based on expected environment productivity. Agronomy, 11, 522.

• June 4, 2021: Today I gave an invited  talk in the event "Big Data e Políticas Públicas", Salvador, BA, Brazil, entitled "Big data e políticas públicas em tempos de pandemia".  [video of the full event]

• June 1, 2021: I become Associate Editor of the Brazilian Journal of Probability and Statistics. Please consider submitting a paper to this journal.

• May 26, 2021: Together with my Colleague Rodrigo Bulhões and the students Jonatha Pimentel and Victor Mesquita, we were awarded the 1st place in the "IASC Data Analysis Competition 2021", organized by the International Association for Statistical Computing, with the work entitled "Spatio-temporal modelling of Brazilian wildfires ". More details can be found here: https://iasc-isi.org/2021/05/26/results-of-the-iasc-data-analysis-competition-2021/

• May 11, 2021: New paper accepted in Data in Brief: Rodrigues, P.C. (2021). Simulated data from a genotype-to-phenotype crop growth model for pepper. Data in Brief. DOI: 10.1016/j.dib.2021.107119

• May 7, 2021: New paper published in Atmosphere: 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

• April 20, 2021: Today I gave a talk in an Invited Paper Session at the V Latin American Conference on Statistical Computing, Mexico City, Mexico (online), entitled “Robust singular spectrum analysis: An application to mutual investment funds”

• April 14, 2021: Together with Tahir Ekin and Gavino Puggioni, we were the Guest Editors of a Special Issue of the Applied Stochastic Models in Business and Industry, entitled "Recent advances in business analytics and data science"

• March 31, 2021: Together with Carlos Pereira and Luiz Nakamura, we were the Guest Editors of a Special Issue of the Brazilian Journal of Biometrics, entitled "Special issue on biostatistics and biometry in the Era of data science"

• March 17, 2021: Today I gave a Seminar at the Center for Mathematics and Application (CMA-FCT-UNL), Nova University of Lisbon, Portugal (online), entitled “Statistics and Data Science: Transforming data into information”

• February 8, 2021: New paper accepted in Crop Science: 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.

• February 4, 2021: New paper accepted in Fluctuation and Noise Letters: 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

• January 27, 2021: New paper accepted in Brazilian Journal of Biometrics: 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

• January 1, 2021: Today I started a three years term as Co-Editor of Computational Statistics, one of the leading journals in the field. Please find more information here.

• January 1, 2021: Today I started a two years term as Co-Editor of the Brazilian Journal of Biometrics. We have high hopes and ambition for BJB. Please find more information here.

• December 30, 2020: New paper accepted in Journal of Statistical Computation and Simulation: Kazemi, M., Shahsavani, D., Arashi, M. and Rodrigues, P.C. (2020). Identification for partially linear regression model with autoregressive errors. Journal of Statistical Computation and Simulation. DOI: 10.1080/00949655.2020.1857763

• December 15, 2020: We have a new SaLLy member. Welcome Kim Leone Silva who will start his BSc PIBIC grant in January 2021. Kim will be working with neural networks and time series forecasting.

• December 7, 2020: Today I gave a plenary talk at the Semana da Estatística of the Federal University of Juiz de Fora, MG, Brazil (online), December 07, 2020, entitled “Statistics and Data Science: Challenges in the Era of Internet of Things and Artificial Intelligence” 

• November 12, 2020: Today I gave a plenary talk at the Simposio de Ingeniería Económica y Financiera, Escuela Superior de Apan - UAEH, Mexico (online), November 12, 2020, entitled “Robust singular spectrum analysis: An application to mutual investment funds”

• November 2, 2020: New paper accepted in Bioinformatics: Mesquita, V.B., Oliveira Filho, F.M. and Rodrigues, P.C. (2020). Detection of crossover points in detrended fluctuation analysis: An application to EEG signals of patients with epilepsy. Bioinformatics. DOI: 10.1093/bioinformatics/btaa955. This paper includes part of the results from the final BSc project of our SaLLy member Victor Mesquita.

• October 27, 2020: Today I gave a talk at the International Symposium of Forecasting, Rio de Janeiro, Brazil (online), October 26-28, 2020, entitled “Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks” [YouTube link].

• October 25, 2020: Today I gave the closing plenary lecture at tha VII Encontro Baiano de Estatística (VII EBest), Universidade Federal da Bahia, Salvador, BA, Brazil, October 18-25, 2020, entitled “Estatística e Ciência de Dados: transformando dados em informação”. [YouTube link]

• October 10, 2020: Today, our SaLLy member João Vitor Silva presented a poster at the UConn Sports Analytics Symposium, entitled "The three eras of the NBA regular seasons: Historical trend and success factors" [poster][video].

• October 9, 2020: Today I gave a plenary lecture at the "4th International Conference on Mathematical Modelling", Universidad Tecnológica de la Mixteca Huajuapan de León, Oaxaca, Mexico, October 9-10, 2020, entitled "Statistics and Data Science: Transforming data into information”.

• October 9, 2020: Today I was elected for a second two-years term in the scientific board of the MSc program in Mathematics at the Federal University of Bahia.

• October 7, 2020: Today I gave a seminar at the "Ciclo de Palestras Estatística", Federal University of Rio de Janeiro, entitled "Statistical challenges in genotype by environment interactions and QTL by environment interactions".  You can watch it on YouTube, following this link (in Portuguese).

• September 25, 2020: Today I was elected for a four years term as a Board of Director member of the Brazilian Statistical Association. Please consider to join ABE!

• September 24, 2020: Today, or SaLLy member Everton Costa was nominated a member of the  JP-RBras Executive Committee! Congratulations Everton!

• September 19, 2020: Today I was elected for a second term as President of the Brazilian Region of the international Biometric Society (RBras). Please consider to join our RBras!

• September 17, 2020: We have a new member in our Statistical Learning Laboratory (SaLLy). Camila Braz joined us for a 12 months with PIBIC grant awarded by UFBA. She will be working with time series forecasting and neural networks.

• September 11, 2020: We have a new member in our Statistical Learning Laboratory (SaLLy). Everton Costa joined us as MSc student. He will be working with multivariate statistics with application to quantitative genetics.

• September 5, 2020: New paper published in Ciência e Natura: 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. This paper was a result of a project in the BSc course Computational Statistics.

• September 3, 2020: Today my BSc student Victor Barreto defended successfully the first part of his final BSc project (TCC I), entitled "Detecção de pontos de cruzamento em análise de flutuação: Uma aplicação para sinais de EEG de pacientes com epilepsia”.

• August 1, 2020: We have a new member in our Statistical Learning Laboratory (SaLLy). Marla Souza joined us for a 12 months with PIBITI grant awarded by CNPq. She will be working with large data bases and data science.

• July 29, 2020: New paper published in MethodsX: 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.

• July 28, 2020: I was nominated the ISBIS representative in the ISI Working Group on Data Science.

• July 22, 2020: New paper published in Computers and Electronics in Agriculture: 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 176, 105617.

• June 30, 2020: New paper published in the Bulletin of Electrical Engineering and Informatics: 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.

• June 23, 2020: I have just become Editorial Board Member of the journal Stats. Please consider to submit your work there.

• June 1, 2020: New paper published in Stats: 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.

• April 30, 2020: New paper published in Agronomy: 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.

• March 1, 2020: We have a new member in our Statistical Learning Laboratory (SaLLy). Prof. Olawale Awe joined us for 12 months with post doctoral grant awarded by CAPES. He will be working in time series analysis, singular spectrum analysis, clustering and data science.

• February 17, 2020: New paper published in Communications in Statistics - Simulation and Computation: 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. 

• January 16, 2020: I was awarded a prestigious CNPq "Bolsa de Produtividade em Pesquisa - PQ-2"

• January 9, 2020: New paper published in Entropy, with two BSc students: Rodrigues, P.C., Pimentel, J.,Messala, P., and Kazemi, M. (2020). Decomposition and forecasting of mutual investment funds using singular spectral analysis. Entropy 22, 83. 

• January 1, 2020: New paper published in Energy: Sulandari, W., Subanar, Lee, M.H. and Rodrigues, P.C. (2020). Indonesian electricity load forecasting using singular spectrum analysis. Energy. 190:116408.