| Spatiotemporal models for skewed processes AM Schmidt, KCM Gonçalves, PL Velozo Environmetrics 28 (6), e2411, 2017 | 26 | 2017 |
| Dynamic quantile linear models: A Bayesian approach KCM Gonçalves, HS Migon, LS Bastos | 22 | 2020 |
| Space–time calibration of wind speed forecasts from regional climate models LES Gomes, TCO Fonseca, KCM Gonçalves, R Ruiz-Cárdenas Environmental and Ecological Statistics 28 (3), 631-665, 2021 | 8 | 2021 |
| Multidimensional and longitudinal item response models for non-ignorable data VLF Santos, FAS Moura, DF Andrade, KCM Gonçalves Computational Statistics & Data Analysis 103, 91-110, 2016 | 6 | 2016 |
| A mixture model for rare and clustered populations under adaptive cluster sampling KCM Gonçalves, FAS Moura | 6 | 2016 |
| Model-based inference for rare and clustered populations from adaptive cluster sampling using auxiliary variables I Nolau, KCM Gonçalves, JBM Pereira Journal of Survey Statistics and Methodology 10 (2), 439-465, 2022 | 5 | 2022 |
| Bayesian variable selection in quantile regression with random effects: an application to Municipal Human Development Index MGL Nascimento, KCM Gonçalves Journal of Applied Statistics 49 (13), 3436-3450, 2022 | 4 | 2022 |
| Bayes linear estimation for finite population with emphasis on categorical data KCM Goncalves, FAS Moura, HS Migon Survey Methodology 40 (1), 15-28, 2014 | 3 | 2014 |
| Unit level model for small area estimation with count data under square root transformation KCM Gonçalves, M Ghosh Brazilian Journal of Probability and Statistics 36 (1), 1-19, 2022 | 2 | 2022 |
| Bayesian factor models for multivariate categorical data obtained from questionnaires V Capdeville, KCM Gonçalves, JBM Pereira Journal of Applied Statistics 48 (16), 3150-3173, 2021 | 2 | 2021 |
| Bayesian quantile factor models K Gonçalves, ACB Silva arXiv preprint arXiv:2002.07242, 2020 | 2 | 2020 |
| Bayesian Quantile Regression Models for Complex Survey Data Under Informative Sampling ML Nascimento, KCM Gonçalves Journal of Survey Statistics and Methodology, smae015, 2024 | | 2024 |
| Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory AT Viana, KCM Gonçalves, MS Paez Journal of Applied Statistics, 1-28, 2024 | | 2024 |
| A flexible Bayesian hierarchical quantile spatial model for areal data RC Fernandez, KCM Gonçalves, JB de Morais Pereira Statistical Modelling, 1471082X231204930, 2023 | | 2023 |
| Spatio-Temporal Instrumental Variables Regression with Missing Data: A Bayesian Approach ML Nascimento, KCM Gonçalves, MJ Mendonça Computational Economics 62 (1), 29-47, 2023 | | 2023 |
| Mapeamento de medidas de pobreza em municípios no Brasil usando estimação em pequenos domínios ME Gallo, KCM Gonçalves, DB do Nascimento Silva Galoá, 2023 | | 2023 |
| Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables IN de Souza, KCM Gonçalves, JBM Pereira arXiv preprint arXiv:2003.06955, 2020 | | 2020 |
| Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables I Nolau de Souza, KC Mota Gonçalves, J Batista de Morais Pereira arXiv e-prints, arXiv: 2003.06955, 2020 | | 2020 |
| Invited Case Study KCM Gonçalves, HS Migon, LS Bastos, P Gagnon, A Desgagné, ... Bayesian Analysis 15 (2), 2020 | | 2020 |
| Bayesian factor models for multivariate categorical data obtained from questionnaires VGC da Silva, K Gonçalves, J Pereira arXiv preprint arXiv:1910.04283, 2019 | | 2019 |
