NASCIMENTO, M. G. L.; GONÇALVES, K. C. M. Bayesian quantile regression models for complex survey data under informative sampling. Journal of Survey Statistics and Methodolog0y, 12 (4), 1105–1130, 2024.
VIANNA, A. T.; GONÇALVES, K. C. M. ; MARINA, S.P. Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the Major Depression Inventory. Journal of Applied Statistics, 51(14), 2866–2893, 2024.
FERNANDEZ, R. C.; GONÇALVES, K. C. M. ; PEREIRA, J. B. M. A flexible Bayesian hierarchical quantile spatial model for areal data. Statistical Modelling. 2023 (published online)
NASCIMENTO, M. G. L.; GONÇALVES, K. C. M.; MENDONÇA, M. J. Spatio-temporal instrumental variables regression with missing data: A Bayesian approach. Computational Economics, 62, 29–47, 2023.
NASCIMENTO, M. G. L.; GONÇALVES, K. C. M. Bayesian variable selection in quantile regression with random effects: An application to Municipal Human Development Index. Journal of Applied Statistics, 49:13, 3436-3450, 2022.
NOLAU, I.; GONÇALVES, K. C. M. ; PEREIRA, J. B. M. Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables. Journal of Survey Statistics and Methodology, v. 10, Issue 2, p. 439–465, 2022.
GONÇALVES, K. C. M.; GHOSH, M. Unit-level model for small area estimation with count data under square root transformation. Brazilian Journal of Probability and Statistics, 36 (1) 1 - 19, 2022.
GONÇALVES, K. C. M.; MOURA, F. A. S.; MIGON, H. Aplicações de Estimadores Lineares de Bayes para Previsão em População Finita. Revista Brasileira de Estatística (Edição Especial - Celebrando Djalma Pessoa), v. 79, n. 246, p.144-162, 2021.
CAPDEVILLE, V. G. ; GONÇALVES, K. C. M. ; PEREIRA, J. B. M. . Bayesian factor models for multivariate categorical data obtained from questionnaires. Journal of Applied Statistics, 48:16, 3150-3173, 2021.
GOMES, L.; FONSECA, T. C. O.; GONÇALVES, K. C. M. ; CÁRDENAS, R., Space-time calibration of wind speed forecasts from regional climate models. Environmental and Ecological Statistics, v. 28, p. 631–665, 2021.
GONÇALVES, K. C. M.; MIGON, H. S. ; BASTOS, L. S. Dynamic quantile linear models: a Bayesian approach. Bayesian Analysis, v. 15, p. 335-362, 2020.
CAVALCANTE, C. V. ; GONÇALVES, K. C. M. Mixture models applied to heterogeneous populations. Brazilian Journal of Probability and Statistics, v. 32, p. 320-345, 2018.
SCHMIDT, A. M. ; GONÇALVES, K. C. M. ; VELOZO, P. L. Spatiotemporal models for skewed processes. Environmetrics, v. 28, p. e2411, 2017.
SCHMIDT, A. M. ; GONÇALVES, K. C. M. ; VELOZO, P. L. Authors' rejoinder to the discussion comments of Genton and Hering, and Huerta and Stroud. Environmetrics, v. 28, p. e2452, 2017.
GONÇALVES, K. C. M.; MOURA, FERNANDO A. S. A Mixture Model for Rare and Clustered Populations Under Adaptive Cluster Sampling. Bayesian Analysis, v. 11, p. 519-544, 2016.
SANTOS, V. L. F. ; MOURA, F. A.S. ; ANDRADE, D. F. ; GONÇALVES, K. C.M. Multidimensional and longitudinal item response models for non-ignorable data. Computational Statistics & Data Analysis (Print), v. 103, p. 91-110, 2016.
GONÇALVES, K. C. M.; MOURA, F. A. S. ; MIGON, H. S. Bayes Linear Estimation for Finite Population with emphasis on categorical data. Survey Methodology, v. 40, p. 15-28, 2014.
FIGUEIREDO, P. S. ; GONÇALVES, K. C. M. BayesSampling: Bayes Linear Estimators for Finite Population. Package CRAN - R.