| Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian change point detection approach MFSV D’Angelo, RM Palhares, RHC Takahashi, RH Loschi, ... Applied Soft Computing 11 (1), 179-192, 2011 | 81 | 2011 |
| Uso da autópsia verbal na investigação de óbitos com causa mal definida em Minas Gerais, Brasil D Campos, E França, RH Loschi, MFM Souza Cadernos de Saúde Pública 26, 1221-1233, 2010 | 81 | 2010 |
| Extension to the product partition model: computing the probability of a change RH Loschi, FRB Cruz Computational Statistics & Data Analysis 48 (2), 255-268, 2005 | 68 | 2005 |
| A Bayesian approach for estimating extreme flood probabilities with upper-bounded distribution functions W Fernandes, M Naghettini, R Loschi Stochastic Environmental Research and Risk Assessment 24, 1127-1143, 2010 | 63 | 2010 |
| Shape mixtures of multivariate skew-normal distributions RB Arellano-Valle, MG Genton, RH Loschi Journal of Multivariate Analysis 100 (1), 91-101, 2009 | 52 | 2009 |
| Estimating the grid of time-points for the piecewise exponential model FN Demarqui, RH Loschi, EA Colosimo Lifetime Data Analysis 14, 333-356, 2008 | 50 | 2008 |
| A Gibbs sampling scheme to the product partition model: an application to change-point problems RH Loschi, FRB Cruz, PL Iglesias, RB Arellano-Valle Computers & Operations Research 30 (3), 463-482, 2003 | 45 | 2003 |
| Fuzzy/Bayesian change point detection approach to incipient fault detection MFSV D'Angelo, RM Palhares, RHC Takahashi, RH Loschi IET control theory & applications 5 (4), 539-551, 2011 | 41 | 2011 |
| An analysis of the influence of some prior specifications in the identification of change points via product partition model RH Loschi, FRB Cruz Computational Statistics & Data Analysis 39 (4), 477-501, 2002 | 40 | 2002 |
| A random‐censoring Poisson model for underreported data GL de Oliveira, RH Loschi, RM Assunção Statistics in medicine 36 (30), 4873-4892, 2017 | 38 | 2017 |
| Mortalidade neonatal precoce hospitalar em Minas Gerais: associação com variáveis assistenciais e a questão da subnotificação D Campos, RH Loschi, E França Revista Brasileira de Epidemiologia 10, 223-238, 2007 | 33 | 2007 |
| Bayesian space-time partitioning by sampling and pruning spanning trees LV Teixeira, RM Assunção, RH Loschi Journal of Machine Learning Research 20 (85), 1-35, 2019 | 32 | 2019 |
| Change point detection in the skew-normal model parameters RB Arellano-Valle, LM Castro, RH Loschi Communications in Statistics-Theory and Methods 42 (4), 603-618, 2013 | 25 | 2013 |
| Multiple change-point analysis for linear regression models RH Loschi, JG Pontel, FRB Cruz Chilean Journal of Statistics 1 (2), 93-112, 2010 | 25 | 2010 |
| Fully semiparametric Bayesian approach for modeling survival data with cure fraction FN Demarqui, DK Dey, RH Loschi, EA Colosimo Biometrical Journal 56 (2), 198-218, 2014 | 24 | 2014 |
| Skew-heavy-tailed degradation models: an application to train wheel degradation RPB Oliveira, RH Loschi, MA Freitas IEEE Transactions on Reliability 67 (1), 129-141, 2017 | 23 | 2017 |
| A class of dynamic piecewise exponential models with random time grid FN Demarqui, RH Loschi, DK Dey, EA Colosimo Journal of Statistical Planning and Inference 142 (3), 728-742, 2012 | 20 | 2012 |
| Bias correction in clustered underreported data G Lopes de Oliveira, R Argiento, R Helena Loschi, R Martins Assunção, ... Bayesian Analysis 17 (1), 95-126, 2022 | 18 | 2022 |
| Dynamic linear degradation model: Dealing with heterogeneity in degradation paths GA Veloso, RH Loschi Reliability Engineering & System Safety 210, 107446, 2021 | 18 | 2021 |
| Parameter interpretation in skewed logistic regression with random intercept CC Santos, RH Loschi, RB Arellano-Valle | 18 | 2013 |
