David Rossell

About David Rossell

David Rossell, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at Universidad Pompeu Fabra, specializes in the field of Bayesian statistics, Big data, Model selection, High-dimensional inference, Applications.

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

Partial correlation graphical lasso

Package ‘mombf’

Semi-parametric local variable selection under misspecification

David Rossell's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker

Discussion of Martingale Posterior Distributions

Additive Bayesian variable selection under censoring and misspecification

Specification analysis for technology use and teenager well-being: Statistical validity and a Bayesian proposal

General Bayesian loss function selection and the use of improper models

David Rossell Information

University

Position

Department of Economics

Citations(all)

6567

Citations(since 2020)

3542

Cited By

4670

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

36

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

David Rossell Skills & Research Interests

Bayesian statistics

Big data

Model selection

High-dimensional inference

Applications

Top articles of David Rossell

Partial correlation graphical lasso

Scandinavian Journal of Statistics

2024/3

David Rossell
David Rossell

H-Index: 18

Package ‘mombf’

2024/2/5

David Rossell
David Rossell

H-Index: 18

Donatello Telesca
Donatello Telesca

H-Index: 21

Semi-parametric local variable selection under misspecification

arXiv preprint arXiv:2401.10235

2023/11/14

David Rossell's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker

Journal of the Royal Statistical Society Series B: Statistical Methodology

2023/11

David Rossell
David Rossell

H-Index: 18

Discussion of Martingale Posterior Distributions

arXiv preprint arXiv:2303.02403

2023/3/4

David Rossell
David Rossell

H-Index: 18

Additive Bayesian variable selection under censoring and misspecification

Statistical Science

2023/2

David Rossell
David Rossell

H-Index: 18

Specification analysis for technology use and teenager well-being: Statistical validity and a Bayesian proposal

Journal of the Royal Statistical Society Series C: Applied Statistics

2022/11

David Rossell
David Rossell

H-Index: 18

General Bayesian loss function selection and the use of improper models

Journal of the Royal Statistical Society Series B: Statistical Methodology

2022/11

David Rossell
David Rossell

H-Index: 18

Graphical model inference with external network data

arXiv preprint arXiv:2210.11107

2022/10/20

Concentration of Posterior Model Probabilities and Normalized Criteria

Bayesian Analysis

2022/6

David Rossell
David Rossell

H-Index: 18

Revealing the reactivity of individual chemical entities in complex mixtures: the chemistry behind bio-oil upgrading

Analytical chemistry

2022/5/16

David Rossell
David Rossell

H-Index: 18

Heterogeneous large datasets integration using Bayesian factor regression

Bayesian Analysis

2022/3

David Rossell
David Rossell

H-Index: 18

Balancing sparsity and power: Likelihoods, priors, and misspecification

2021/12/24

David Rossell
David Rossell

H-Index: 18

Confounder importance learning for treatment effect inference

arXiv preprint arXiv:2110.00314

2021/10/1

Omiros Papaspiliopoulos
Omiros Papaspiliopoulos

H-Index: 19

David Rossell
David Rossell

H-Index: 18

Approximate Laplace approximations for scalable model selection

Journal of the Royal Statistical Society Series B: Statistical Methodology

2021/9

David Rossell
David Rossell

H-Index: 18

Anirban Bhattacharya
Anirban Bhattacharya

H-Index: 8

Bayesian analysis

Bayesian Analysis

2021

Dependence in elliptical partial correlation graphs

Electronic Journal of Statistics

2021

David Rossell
David Rossell

H-Index: 18

Piotr Zwiernik
Piotr Zwiernik

H-Index: 13

Bayesian Specification Curve Analysis

2020/10/26

David Rossell
David Rossell

H-Index: 18

MHC-1 Genotypes Restricts The Oncogenic Mutational Landscape

2020/7/9

KairosMS: A new solution for the processing of hyphenated ultrahigh resolution mass spectrometry data

Analytical chemistry

2020/1/28

David Rossell
David Rossell

H-Index: 18

See List of Professors in David Rossell University(Universidad Pompeu Fabra)