David Rossell

David Rossell

Universidad Pompeu Fabra

H-index: 24

Europe-Spain

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’

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

Semi-parametric local variable selection under misspecification

Graphical model inference with external network data

Concentration of Posterior Model Probabilities and Normalized Criteria

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

Universidad Pompeu Fabra

Google Scholar

View Google Scholar Profile

David Rossell Skills & Research Interests

Bayesian statistics

Big data

Model selection

High-dimensional inference

Applications

Top articles of David Rossell

Title

Journal

Author(s)

Publication Date

Partial correlation graphical lasso

Scandinavian Journal of Statistics

Jack Storror Carter

David Rossell

Jim Q Smith

2024/3

Package ‘mombf’

David Rossell

John D Cook

Donatello Telesca

P Roebuck

Maintainer David Rossell

2024/2/5

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

David Rossell

2023/11

Discussion of Martingale Posterior Distributions

arXiv preprint arXiv:2303.02403

David Rossell

2023/3/4

Additive Bayesian variable selection under censoring and misspecification

Statistical Science

David Rossell

Francisco Javier Rubio

2023/2

Semi-parametric local variable selection under misspecification

arXiv preprint arXiv:2401.10235

David Rossell

Arnold Kisuk Kseung

Ignacio Saez

Michele Guindani

2023/11/14

Graphical model inference with external network data

arXiv preprint arXiv:2210.11107

Jack Jewson

Li Li

Laura Battaglia

Stephen Hansen

David Rossell

...

2022/10/20

Concentration of Posterior Model Probabilities and Normalized Criteria

Bayesian Analysis

David Rossell

2022/6

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

Analytical chemistry

Diana Catalina Palacio Lozano

Hugh E Jones

Remy Gavard

Mary J Thomas

Claudia X Ramírez

...

2022/5/16

Heterogeneous large datasets integration using Bayesian factor regression

Bayesian Analysis

Alejandra Avalos-Pacheco

David Rossell

Richard S Savage

2022/3

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

Christoph Semken

David Rossell

2022/11

General Bayesian loss function selection and the use of improper models

Journal of the Royal Statistical Society Series B: Statistical Methodology

Jack Jewson

David Rossell

2022/11

Confounder importance learning for treatment effect inference

arXiv preprint arXiv:2110.00314

Miquel Torrens-i-Dinarès

Omiros Papaspiliopoulos

David Rossell

2021/10/1

Approximate Laplace approximations for scalable model selection

Journal of the Royal Statistical Society Series B: Statistical Methodology

David Rossell

Oriol Abril

Anirban Bhattacharya

2021/9

Bayesian analysis

Bayesian Analysis

FO Bunnin

JQ Smith

F Ruggeri

M Sánchez-Sánchez

MÁ Sordo

...

2021

Dependence in elliptical partial correlation graphs

Electronic Journal of Statistics

David Rossell

Piotr Zwiernik

2021

Balancing sparsity and power: Likelihoods, priors, and misspecification

David Rossell

Francisco Javier Rubio

2021/12/24

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

Analytical chemistry

Remy Gavard

Hugh E Jones

Diana Catalina Palacio Lozano

Mary J Thomas

David Rossell

...

2020/1/28

Characterizing MHC-I genotype predictive power for oncogenic mutation probability in cancer patients

Immunoinformatics

Lainie Beauchemin

Michael Slifker

David Rossell

Joan Font-Burgada

2020

Bayesian Specification Curve Analysis

Christoph Semken

David Rossell

2020/10/26

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