Programa de Pós-Graduação em Estatística

Produção Científica de Alunos Egressos no Período de 2008 a 2025

Artigos aceitos para publicação

Número total de items: 12

2024

  1. Valeriano, Katherine A. L.; SCHUMACHER, FERNANDA L.; GALARZA, CHRISTIAN E.; MATOS, LARISSA A. Censored Autoregressive Regression Models with Student-t Innovations. Canadian Journal Of Statistics-Revue Canadienne De Statistique (ISSN: 1708945X).2024.
    [ Google | Google Scholar ] [Qualis: N/A ]

2023

  1. FRANCO, G.; de Souza, C. P. E.; GARCIA, NANCY L. Aggregated Functional Data Model Applied on Clustering and Disaggregation of Electrical Load Profiles. Royal Statistical Society. Journal. Series C: Applied Statistics (ISSN: 14679876).2023.
    [ Google | Google Scholar ] [Qualis: N/A ]

2022

  1. GARCÍA, JESÚS ENRIQUE; GONZÁLEZ-LÓPEZ, VERÓNICA ANDREA; TASCA, GUSTAVO HENRIQUE Comparison between genomic sequences of SARS-CoV 2 virus: original versus P.1 variant. AIP CONFERENCE PROCEEDINGS (ONLINE) (ISSN: 15517616).2022.
    [ Google | Google Scholar ] [Qualis: N/A ]
  2. GARCÍA, JESÚS ENRIQUE; GONZÁLEZ-LÓPEZ, VERÓNICA ANDREA; TASCA, GUSTAVO HENRIQUE Huffman Coding and Minimal Markov Models to Improve the Data Compression. AIP CONFERENCE PROCEEDINGS (ONLINE) (ISSN: 15517616).2022.
    [ Google | Google Scholar ] [Qualis: N/A ]
  3. GARCÍA, JESÚS ENRIQUE; GONZÁLEZ-LÓPEZ, VERÓNICA ANDREA; TASCA, GUSTAVO HENRIQUE Multiple Partition Markov Model for B.1.1.7, B.1.351, B.1.617.2, and P.1 Variants of SARS-CoV 2 Virus. AIP CONFERENCE PROCEEDINGS (ONLINE) (ISSN: 15517616).2022.
    [ Google | Google Scholar ] [Qualis: N/A ]

2019

  1. ZAMBOM, A. Z.; KIM, J. Consistent Significance Controlled Variable Selection in High-Dimensional Regression. Stat (Madison, WI.) (ISSN: 00389986).2019.
    [ Google | Google Scholar ] [Qualis: N/A ]

2018

  1. GARCÍA, JESÚS E.; GHOLIZADEH, R.; GONZÁLEZ-LÓPEZ, V. A. A BIC-based consistent metric between Markovian processes. Applied Stochastic Models in Business and Industry (Print) (ISSN: 15241904).2018.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: A4  ]

2014

  1. BANDYOPADHYAY, D.; GALVIS, D. M.; LACHOS, V. H. Augmented mixed models for clustered proportion data. STATISTICAL METHODS IN MEDICAL RESEARCH (ISSN: 09622802).2014.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: A2  ]

2013

  1. PRATES, MARCOS O.; COSTA, DENISE R.; LACHOS, VICTOR H. Generalized linear mixed models for correlated binary data with t-link. STATISTICS AND COMPUTING (ISSN: 09603174).2013.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: A1  ]

2012

  1. TSAI, R.; HOTTA, L. K. Polyhazard models with dependent causes. Brazilian Journal of Probability and Statistics (ISSN: 01030752).2012.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: B1  ]
  2. TSAI, R.; HOTTA, L. K. Fitting distributions with the polyhazard model with dependence. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (ISSN: 03610926).2012.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: B2  ]

2011

  1. Zeller, Camila B.; CARVALHO, R. R.; Lachos, Victor H. On diagnostics in multivariate measurement error models under asymmetric heavy-tailed distributions. Statistical Papers (1988) (ISSN: 09325026).2011.
    [ Google | Google Scholar ] [Qualis: Matemática / Probabilidade e Estatística: A3  ]