Home

I completed my PhD in Statistics in 2012 at Nova University of Lisbon, Portugal, and my Habilitation (Agregação) in Mathematics, Specialization in Statistics and Stochastic Processes in 2019 at Instituto Superior Técnico, University of Lisbon, Portugal.

In 2013, I become Professor at the Department of Statistics of the Federal University of Bahia, Brazil. Between mid-2015 and December 2019 I was the Research Director of CAST -- Center for Applied Statistics and Data Analytics at Tampere University, Finland.

At the beginning of 2020, I decided to create the Statistical Learning Laboratory (SaLLy) to join together my research group, collaborators, and students. More details can be found here: My Lab: SaLLy.

I am an ISI Elected member and currently:

  • President-Elect of the International Society for Business and Industrial Statistics (ISBIS; July 2020 – July 2023; President between July 2023 and July 2025)

  • (Founding) Chair of the Special Interest Group on Data Science, of the International Statistical Institute (July 2020 – July 2023)

  • President of the Brazilian Region of the International Biometric Society (05/2018 – 09/2020; 09/2020 - 05/2022)

  • Member of the Representative Council of the International Biometric Society (07/2021 - 06/2025)

  • Member of the Board of Directors of the Brazilian Statistical Association (ABE) (09/2020 – 09/2024)

  • Vice-Coordinator of the Specialization in Data Science and Big Data, Federal University of Bahia, Brazil (since 05/2018)

  • Member of the Scientific Board of the European PhD in Socio-Economic and Statistical Studies (SESS) (since September 2016)

  • Member of the Scientific Board of the MSc program in Mathematics, Federal University of Bahia, Brazil (11/2018 – 11/2020; 11/2020 – 11/2022)

  • Member of the Scientific Board of the BSc program in Statistics, Federal University of Bahia, Brazil (08/2022 – – 08/2024)



Some of my past position include:

  • Founder, Chairperson (between 01/2017 and 01/2019), and Past-Chairperson (between 02/2019 and 04/2021) of the Latin American Regional Section (LARS) of the International Association for Statistical Computing (IASC)

  • Council member of the International Statistical Institute (between 08/2015 and 08/2019)

  • Vice-President (08/2009-08/2011; 08/2011-08/2013) and Council member (08/2015-08/2019) of the International Society for Business and Industrial Statistics


My research interests include:

  • Statistical learning

  • High-dimensional data modeling, low-rank approximations, and weighted low-rank approximations

  • Time series and singular spectrum analysis

  • Robust statistics

  • Big data and visualization

  • Modeling and analyzing Genotype-by-Environment interactions and QTL-by-Environment interactions

  • Applications to plant sciences, genetics, finances, and environmental sciences


I have authored/coauthored more than 50 research articles, with more than 70 co-authors from 17 countries. Besides my activities as a general editorial board member of several scientific journals, I am currently

Please consider submitting your work to these journals.


Google Scholar: http://scholar.google.com/citations?user=KBtSLIEAAAAJ&hl=en

CV Lattes: http://lattes.cnpq.br/0029960374321970

  • September 23, 2022: Today, my PhD student (jointly with Valderio Reisen) Carlo Solsi 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 an 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 9m, 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-years 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-years term as the (Founding) Chair of the Special Interest Group on Data Science, of the International Statistical Institute (July 2020 – July 2023)

Updated in August 18, 2022