Programa de Pós-Graduação em Estatística

Capítulos de livros publicados

Número total de items: 40

AWE, O.; DIAS, R. Exponential Smoothing and Neural Networks for Climate Forecasting in Brazil: Insights and Change-Point Prediction. 2025.
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AWE, O.; SALAKO, J.; RODRIGUES, P. C.; DUKHI, N.; DIAS, R. A Comparative Exploration of SHAP and LIME for Enhancing the Interpretability of Machine Learning Models in Obesity Prediction. 2025.
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AWE, O.; DIAS, R. A Comparative Forecasting Study on Functional Temperature Data Across 32 American Countries. 2025.
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HOTTA, LUIZ K.; TRUCÍOS, CARLOS; ZEVALLOS, M. A Note About Calibration Tests for VaR and ES. 2024.
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Hotta, Luiz K.; TRUCÍOS, CARLOS; ZEVALLOS, Mauricio A Note about Calibration Tests for VaR and ES. 2024.
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CHEN, Y.; MORETTIN, P. A.; DIAS, R.; CHIANN, C. Wavelet Estimation of Nonstationary Spatial Covariance Function. 2024.
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García, Jesús E.; González-López, V. A. A Stochastic Characterization of Omicron Variant of SARS-CoV 2 Virus. 2023.
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AWE, O.; OJUMU, J. B.; AYANWOYE, G. A.; OJUMOOLA, J. S.; DIAS, R. Machine Learning Approaches for Handling Imbalances in Health Data Classification. 2023.
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AWE, O.; OPATEYE, G. O.; JOHNSON, C. A. G.; TAYO, O. T.; DIAS, R. Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis. 2023.
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AWE, O.; DIAS, R.; AJETUNMOBI, T. K.; AYENI, O. C.; OYANAMEH, O. E.; AGUNLOYE, O. K. Time Series Forecasting of Seasonal Non-stationary Climate Data: A Comparative Study. 2023.
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SOUSA, A. R. S. Sistemas não lineares de equação. 2022.
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García, Jesús E.; González-López, V. A.; Tasca, G. H. Stochastic Comparison Between the Original SARS-CoV 2 Genetic Structure and SARS-CoV 2 - P.1 Variant. 2022.
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García, Jesús E.; González-López, V. A. America¿s Zika Virus and Its Similarities with African and Asian Lineages. 2022.
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MATTOS, T. B.; MATOS, L. A.; LACHOS, V. H. Likelihood-Based Inference for Linear Mixed-Effects Models with Censored Response Using Skew-Normal Distribution. 2022.
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BOGLE, D.; CHIRIKOV, I.; GONZALES-CANCHE, M. S.; ROSA, A. S.; GARCIA, N. L.; HERMANS, S.; MAIN, J.; ORTEGA, S. Global labour market developments. 2022.
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Lachos, Victor H.; Matos, Larissa A.; MATTOS, THALITA B. Likelihood-Based Inference for Linear Mixed-Effects Models with Censored Response Using Skew-Normal Distribution. 2022.
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ATTO, A. M.; Pinheiro, Aluisio; GINOLHAC, G.; MORETTIN, P. A. Fractional Field Image Time Series Modeling and Application to Cyclone Tracking. 2021.
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KNOBEL, M.; AMARAL, E.; GARCIA, N. L. Ensino remoto emergencial. 2021.
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Kiihl, Samara Flamini Bioinformatic Estimation of and Proportions. 2021.
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García, Jesús E.; González-López, V. A. Robust Minimal Markov Model for Dengue Virus Type 3. 2020.
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GARCÍA, JESÚS ENRIQUE; GHOLIZADEH, RAMIN; González¿López, Verónica Andrea Comparison of Stochastic Processes. 2020.
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García, Jesús E.; GHOLIZADEH, R.; González López, V. A. Stochastic Distance Between Burkitt Lymphoma/Leukemia Strains. 2018.
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Hotta, Luiz Koodi; TRUCÍOS, CARLOS Inference in (M)GARCH Models in the Presence of Additive Outliers: Specification, Estimation, and Prediction. 2018.
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Garcia, Nancy L.; GALLO, S. Perfect simulation and convex mixture of context trees. 2018.
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CARVALHO, BS Working with Oligonucleotide Arrays. 2016.
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García, Jesús E.; González-López, V. A. Optimal Partition of Markov Models and Automatic Classification of Languages. 2016.
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García, Jesús E.; González-López, V. A. Markov Partition Models for Epstein Barr Virus. 2016.
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García, Jesús E.; González-López, V. A. Optimal Partition of Markov Models and Automatic Classification of Languages. 2016.
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García, Jesús E.; González-López, V. A. Markov Partition Models for Epstein Barr Virus. 2016.
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García, Jesús E.; González-López, V. A. Detecting regime changes in Markov models. 2015.
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García, Jesús E.; González-López, V. A.; Fernández, M. Multivariate Markov chain predictions adjusted with copula models. 2015.
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Fitzgerald, Robert S.; Dehghani, Gholam A.; Kiihl, Samara Organismal Responses to Hypoxemic Challenges. 2015.
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FERNÁNDEZ, M.; GARCÍA, JESÚS E.; González-López, V. A. Multivariate Markov chain predictions adjusted with copula models. 2015.
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GARCÍA, JESÚS E.; GONZALEZ-LOPEZ, V. A. Detecting regime changes in Markov models. 2015.
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PINHEIRO, A.; PINHEIRO, Hildete Prisco; SEN, Pranab Kumar The Use of Hamming Distance in Bioinformatics. 2012.
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PINHEIRO, Aluísio de Souza; PINHEIRO, H. P.; SEN, Pranab Kumar The use of Hamming distance in bioinformatics. 2012.
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HOTTA, L. K.; TSAY, R. Outliers in GARCH Processes. 2012.
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LAURINI, M. P.; HOTTA, L. K. Modelos de Fatores Latentes Generalizados para Curvas de Júros em Múltiplos Mercados. 2009.
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SILVA, J. V. L.; ALMEIDA, A.B.; RAPOSO-DO-AMARAL, C.A.; FERREIRA, D.M.; HOTTA, L. K.; RAPOSO-DO-AMARAL, C.A.; GUIDI, M. C.; BUZZO, C.L.. Three-dimensional virtual and physical technologies in the treatment of craniofacial anomalies. 2009.
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