Gonzalo Garcia-Donato

Gonzalo Garcia-Donato

Universidad de Castilla-La Mancha

H-index: 17

Europe-Spain

About Gonzalo Garcia-Donato

Gonzalo Garcia-Donato, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Universidad de Castilla-La Mancha, specializes in the field of Objective Bayesian methods, Model selection and Hypothesis Testing, Analysis of Computer Models.

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

Searching in ultra high dimensional sparse model spaces: New performance tests and boosting Gibbs sampling algorithms

Objective Bayesian testing and model uncertainty

Model uncertainty quantification in Cox regression

Package ‘BayesVarSel’

Variable selection in the presence of factors: a model selection perspective

The chronology of archaeological assemblages based on an automatic Bayesian procedure: Eastern Iberia as study case

Bayesian classication for dating archaeological sites via projectile points

Bayesian classification for dating archaeological sites via projectile points

Gonzalo Garcia-Donato Information

University

Position

Associate Professor

Citations(all)

1556

Citations(since 2020)

773

Cited By

1146

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

21

i10Index(since 2020)

15

Email

University Profile Page

Universidad de Castilla-La Mancha

Google Scholar

View Google Scholar Profile

Gonzalo Garcia-Donato Skills & Research Interests

Objective Bayesian methods

Model selection and Hypothesis Testing

Analysis of Computer Models

Top articles of Gonzalo Garcia-Donato

Title

Journal

Author(s)

Publication Date

Searching in ultra high dimensional sparse model spaces: New performance tests and boosting Gibbs sampling algorithms

Gonzalo García-Donato

María E Castellanos

2024/4/29

Objective Bayesian testing and model uncertainty

James Berger

Gonzalo García-Donato

Elias Moreno

Luis Pericchi

2024/2/26

Model uncertainty quantification in Cox regression

Biometrics

Gonzalo García‐Donato

Stefano Cabras

María Eugenia Castellanos

2023/9

Package ‘BayesVarSel’

Gonzalo Garcia-Donato

Anabel Forte

Maintainer Anabel Forte

2023/3/7

Variable selection in the presence of factors: a model selection perspective

Journal of the American Statistical Association

Gonzalo García-Donato

Rui Paulo

2022/10/2

The chronology of archaeological assemblages based on an automatic Bayesian procedure: Eastern Iberia as study case

Journal of Archaeological Science

Salvador Pardo-Gordó

Joan Bernabeu Aubán

Joaquín Jiménez-Puerto

Carmen Armero

Gonzalo García-Donato

2022/3/1

Bayesian classication for dating archaeological sites via projectile points

Carmen Armero-Cervera

Gonzalo García-Donato Layrón

Joaquín Jiménez Puerto

Salvador Pardo Gordó

Joan Bernabeu Aubán

2021

Bayesian classification for dating archaeological sites via projectile points

arXiv preprint arXiv:2012.00657

Carmen Armero

Gonzalo García-Donato

Joaquín Jiménez-Puerto

Salvador Pardo-Gordó

Joan Bernabeu

2020/12/1

Bayesian Analysis

Bayesian Analysis

FO Bunnin

JQ Smith

F Ruggeri

M Sánchez-Sánchez

MÁ Sordo

...

2021

Bayes factors based on g-priors for variable selection

Gonzalo Garcia-Donato

Mark FJ Steel

2021/12/24

A model selection approach for variable selection with censored data

Maria Eugenia Castellanos

Gonzalo Garcia-Donato

Stefano Cabras

2021/3

Bayesian variable selection with applications in health sciences

Mathematics

Gonzalo García-Donato

María Eugenia Castellanos

Alicia Quirós

2021/1/22

A Bayesian naïve Bayes classi er for dating archaeological sites

Joaquín Jiménez Puerto

Gonzalo García-Donato Layrón

Carmen Armero-Cervera

Joan Bernabeu

Salvador Pardo-Gordó

2020

Bayes Factors, Model Choice and Variable Selection in Linear Models

R Package, BayesVarSel; R Foundation for Statistical Computing: Vienna, Austria

Gonzalo Garcia-Donato

Anabel Forte

C Vergara-Hernández

2020

See List of Professors in Gonzalo Garcia-Donato University(Universidad de Castilla-La Mancha)