Victor Hugo Lachos Davila

Victor Hugo Lachos Davila

University of Connecticut

H-index: 32

North America-United States

About Victor Hugo Lachos Davila

Victor Hugo Lachos Davila, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Censored mixed effects models, Skew models, Spatial models, Augmented models, Finite Mixtures.

His recent articles reflect a diverse array of research interests and contributions to the field:

Objective Bayesian analysis for geostatistical Student-t processes

Penalized complexity priors for the skewness parameter of power links

A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling

Finite mixture of regression models for censored data based on the skew-t distribution

Fast inference for robust nonlinear mixed-effects models

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

Influence diagnostics for skew-t censored linear regression models

Package ‘CensMFM’

Victor Hugo Lachos Davila Information

University

Position

Professor at

Citations(all)

3951

Citations(since 2020)

1876

Cited By

2983

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

88

i10Index(since 2020)

64

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Victor Hugo Lachos Davila Skills & Research Interests

Censored mixed effects models

Skew models

Spatial models

Augmented models

Finite Mixtures

Top articles of Victor Hugo Lachos Davila

Title

Journal

Author(s)

Publication Date

Objective Bayesian analysis for geostatistical Student-t processes

Journal of Spatial Science

Jose A Ordoñez

Marcos O Prates

Larissa A Matos

Victor H Lachos

2024/1/12

Penalized complexity priors for the skewness parameter of power links

Canadian Journal of Statistics

Jose A Ordonez

Marcos O Prates

Jorge L Bazan

Victor H Lachos

2024/3

A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling

Sankhya A

Fernanda L Schumacher

Larissa A Matos

Víctor H Lachos

Carlos A Abanto-Valle

Luis M Castro

2024/2/19

Finite mixture of regression models for censored data based on the skew-t distribution

Computational Statistics

Jiwon Park

Dipak K Dey

Víctor H Lachos

2024/2/10

Fast inference for robust nonlinear mixed-effects models

Journal of Applied Statistics

José Clelto Barros Gomes

Reiko Aoki

Victor Hugo Lachos

Gilberto Alvarenga Paula

Cibele Maria Russo

2023/5/19

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

Journal of Applied Statistics

Rosineide da Paz

Jorge Luis Bazán

Victor Hugo Lachos

Dipak Dey

2023/3/12

Influence diagnostics for skew-t censored linear regression models

Communications for Statistical Applications and Methods

Marcos S Oliveira

Daniela CR Oliveira

Victor H Lachos

2023/11/30

Package ‘CensMFM’

Francisco HC de Alencar

Christian E Galarza

Larissa A Matos

Victor H Lachos

Maintainer Francisco HC de Alencar

2023/1/28

The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models

arXiv preprint arXiv:2308.01518

Daniela CR Oliveira

Fernanda L Schumacher

Victor H Lachos

2023/8/3

Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution

Stat

Victor H Lachos

Manuel Galea

Camila Zeller

Marcos O Prates

2023/1

Likelihood-based inference for the multivariate skew-t regression with censored or missing responses

Journal of Multivariate Analysis

Katherine AL Valeriano

Christian E Galarza

Larissa A Matos

Victor H Lachos

2023/7/1

Regression modeling of censored data based on compound scale mixtures of normal distributions

Brazilian Journal of Probability and Statistics

Luis Benites

Camila B Zeller

Heleno Bolfarine

Víctor H Lachos

2023/6

Bayesian analysis of linear regression models with autoregressive symmetrical errors and incomplete data

Aldo William Medina Garay

Francyelle Lima Medina

Suelem Torres de Freitas

Victor Hugo Lachos Davila

2022/11/4

Linear mixed models based on skew scale mixtures of normal distributions

Communications in Statistics-Simulation and Computation

Clécio S Ferreira

Heleno Bolfarine

Víctor H Lachos

2022/12/1

Package ‘MomTrunc’

Christian E Galarza

Raymond Kan

Victor H Lachos

Maintainer Christian E Galarza

2022/6/15

Finite mixture of censored linear mixed models for irregularly observed longitudinal data

Journal of Classification

Francisco HC de Alencar

Larissa A Matos

Víctor H Lachos

2022/11

Package ‘ARpLMEC’

Rommy C Olivari

Kelin Zhong

Aldo M Garay

Victor H Lachos

Maintainer Rommy C Olivari

2022/6/2

Package ‘StempCens’

Larissa A Matos

Katherine L Valeriano

Victor H Lachos

Maintainer Larissa A Matos

2022/10/12

The skew-censored regression model: parameter estimation via an EM-type algorithm

Communications for Statistical Applications and Methods

Victor H Lachos

Jorge L Bazán

Luis M Castro

Jiwon Park

2022/5/31

Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution

Advances in Data Analysis and Classification

Francisco HC de Alencar

Christian E Galarza

Larissa A Matos

Victor H Lachos

2022/9

See List of Professors in Victor Hugo Lachos Davila University(University of Connecticut)

Co-Authors

H-index: 94
N Balakrishnan

N Balakrishnan

McMaster University

H-index: 83
Ming-Hui Chen

Ming-Hui Chen

University of Connecticut

H-index: 54
Dipak K. Dey

Dipak K. Dey

University of Connecticut

H-index: 40
Heleno Bolfarine

Heleno Bolfarine

Universidade de São Paulo

H-index: 36
Dipankar Bandyopadhyay

Dipankar Bandyopadhyay

Virginia Commonwealth University

H-index: 26
Tsung-l Lin

Tsung-l Lin

National Chung Hsing University

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