Follow
Larissa Avila Matos
Larissa Avila Matos
Verified email at ime.unicamp.br - Homepage
Title
Cited by
Cited by
Year
Likelihood-based inference for mixed-effects models with censored response using the multivariate-t distribution
LA Matos, MO Prates, MH Chen, VH Lachos
Statistica Sinica, 1323-1345, 2013
712013
Influence diagnostics in linear and nonlinear mixed-effects models with censored data
LA Matos, VH Lachos, N Balakrishnan, FV Labra
Computational Statistics & Data Analysis 57 (1), 450-464, 2013
452013
Influence diagnostics for Student-t censored linear regression models
MB Massuia, CRB Cabral, LA Matos, VH Lachos
Statistics 49 (5), 1074-1094, 2015
442015
Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads
LA Matos, LM Castro, VH Lachos
Test 25, 627-653, 2016
172016
Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution
CE Galarza, LA Matos, LM Castro, VH Lachos
Journal of Multivariate Analysis 189, 104944, 2022
152022
On moments of folded and doubly truncated multivariate extended skew-normal distributions
CEG Morales, LA Matos, DK Dey, VH Lachos
Journal of Computational and Graphical Statistics 31 (2), 455-465, 2022
152022
Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence
FL Schumacher, VH Lachos, LA Matos
Statistics in medicine 40 (7), 1790-1810, 2021
142021
Influence assessment in censored mixed-effects models using the multivariate student’st distribution
LA Matos, D Bandyopadhyay, LM Castro, VH Lachos
Journal of multivariate analysis 141, 104-117, 2015
132015
Multivariate measurement error models based on Student-t distribution under censored responses
LA Matos, LM Castro, CRB Cabral, VH Lachos
Statistics 52 (6), 1395-1416, 2018
102018
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
FHC de Alencar, CE Galarza, LA Matos, VH Lachos
Advances in Data Analysis and Classification 16 (3), 521-557, 2022
92022
Heavy-tailed longitudinal regression models for censored data: a robust parametric approach
LA Matos, VH Lachos, TI Lin, LM Castro
Test 28, 844-878, 2019
82019
On moments of folded and truncated multivariate extended skew-normal distributions
CE Galarza, LA Matos, DK Dey, VH Lachos
Technical report. ID 19-14. University of Connecticut, 2019
82019
Influence diagnostics in spatial models with censored response
VH Lachos, LA Matos, TS Barbosa, AM Garay, DK Dey
Environmetrics 28 (7), e2464, 2017
72017
La capacitación político-ideológica desde el puesto de trabajo de los cuadros políticos
L Matos, P Rodríguez, M Matos
Maestro y Sociedad 18 (3), 1051-1069, 2021
62021
skewlmm: Scale mixtures of skew-normal linear mixed models
FL Schumacher, LA Matos, VH Lachos
URL: https://CRAN. R-project. org/package= skewlmm. r package version 0.2. 0, 2020
62020
Estimation and diagnostics for partially linear censored regression models based on heavy-tailed distributions
M Nuñez Lemus, VH Lachos, CE Galarza, LA Matos
Statistics and Its Interface 14 (2), 165-182, 2021
52021
Extending multivariate Student's‐t t semiparametric mixed models for longitudinal data with censored responses and heavy tails
TB Mattos, VH Lachos, LM Castro, LA Matos
Statistics in Medicine 41 (19), 3696-3719, 2022
42022
Likelihood-based inference for the multivariate skew-t regression with censored or missing responses
KAL Valeriano, CE Galarza, LA Matos, VH Lachos
Journal of Multivariate Analysis 196, 105174, 2023
32023
An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses
CE Galarza, LA Matos, VH Lachos
Metron 80 (2), 231-253, 2022
32022
Moments and random number generation for the truncated elliptical family of distributions
KAL Valeriano, CE Galarza, LA Matos
Statistics and Computing 33 (1), 32, 2023
22023
The system can't perform the operation now. Try again later.
Articles 1–20