Guido Consonni

About Guido Consonni

Guido Consonni, With an exceptional h-index of 18 and a recent h-index of 11 (since 2020), a distinguished researcher at Università Cattolica del Sacro Cuore, specializes in the field of Bayesian statistics, graphical models, causal inference, design and analysis of replication studies.

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

Bayesian sample size determination for detecting heterogeneity in multi-site replication studies

Bayesian sample size determination for multi-site replication studies

Bayesian graphical modeling for heterogeneous causal effects

Assessing replication success via skeptical mixture priors

Bayesian approaches to designing replication studies.

Joint structure learning and causal effect estimation for categorical graphical models

Moment priors for DAG models

Bayesian sample size determination for causal discovery

Guido Consonni Information

University

Position

Professor of Statistics

Citations(all)

1178

Citations(since 2020)

474

Cited By

901

hIndex(all)

18

hIndex(since 2020)

11

i10Index(all)

32

i10Index(since 2020)

14

Email

University Profile Page

Università Cattolica del Sacro Cuore

Google Scholar

View Google Scholar Profile

Guido Consonni Skills & Research Interests

Bayesian statistics

graphical models

causal inference

design and analysis of replication studies

Top articles of Guido Consonni

Title

Journal

Author(s)

Publication Date

Bayesian sample size determination for detecting heterogeneity in multi-site replication studies

TEST

Konstantinos Bourazas

Guido Consonni

Laura Deldossi

2024/1/23

Bayesian sample size determination for multi-site replication studies

arXiv preprint arXiv:2305.04064

Konstantinos Bourazas

Guido Consonni

Laura Deldossi

2023/5/6

Bayesian graphical modeling for heterogeneous causal effects

Statistics in Medicine

Federico Castelletti

Guido Consonni

2023/1/15

Assessing replication success via skeptical mixture priors

arXiv preprint arXiv:2401.00257

Guido Consonni

Leonardo Egidi

2023/12/30

Bayesian approaches to designing replication studies.

Psychological Methods

Samuel Pawel

Guido Consonni

Leonhard Held

2023/8/10

Joint structure learning and causal effect estimation for categorical graphical models

https://arxiv.org/abs/2306.16068

Federico Castelletti

Guido Consonni

Marco Luigi Della Vedova

2023

Moment priors for DAG models

Guido Consonni

Luca LA ROCCA

2022/10/13

Bayesian sample size determination for causal discovery

https://arxiv.org/abs/2206.00755

Federico Castelletti

Guido Consonni

2022

Multiple arrows in the Bayesian quiver: Bayesian learning of partially directed structures from heterogeneous data.

Luca La Rocca

Federico Castelletti

Stefano Peluso

Francesco Claudio Stingo

Guido Consonni

2022

Bayesian causal inference in probit graphical models

Bayesian Analysis

Federico Castelletti

Guido Consonni

2021/12

Bayesian inference of causal effects from observational data in Gaussian graphical models

Biometrics

Federico Castelletti

Guido Consonni

2021/3

Invited Discussion of the paper On a Class of Objective Priors from Scoring Rules by by Leisen, F., Villa, C., Walker, SG

BAYESIAN ANALYSIS

Guido Consonni

Gonzalo Garcia Donato

2020

Structural learning of contemporaneous dependencies in graphical VAR models

Computational Statistics & Data Analysis

Lucia Paci

Guido Consonni

2020/4/1

Bayesian learning of multiple essential graphs

Luca La Rocca

Federico Castelletti

Stefano Peluso

Francesco Claudio Stingo

Guido Consonni

2020

The Measure of Population Aging in Different Welfare Regimes: A Bayesian Dynamic Modeling Approach

European Journal of Population

Roberta Paroli

Guido Consonni

Alessandro Rosina

2020/4

Compatible priors for model selection of high-dimensional Gaussian DAGs

Stefano Peluso

Guido Consonni

2020/1/1

Objective Bayesian comparison of order-constrained models in contingency tables

TEST

Roberta Paroli

Guido Consonni

2020/3

Bayesian learning of multiple directed networks from observational data

Statistics in Medicine

Federico Castelletti

Luca La Rocca

Stefano Peluso

Francesco C Stingo

Guido Consonni

2020/12/30

Objective Bayes Structure Learning in Gaussian Graphical Models

Nikolaos Petrakis

2020/2/7

Discovering causal structures in Bayesian Gaussian directed acyclic graph models

Journal of the Royal Statistical Society Series A: Statistics in Society

Federico Castelletti

Guido Consonni

2020/10

See List of Professors in Guido Consonni University(Università Cattolica del Sacro Cuore)

Co-Authors

H-index: 63
Philip Dawid

Philip Dawid

University of Cambridge

H-index: 35
Francesco C. Stingo

Francesco C. Stingo

Università degli Studi di Firenze

H-index: 33
Jean-Michel Marin

Jean-Michel Marin

Université de Montpellier

H-index: 32
Leonardo Bottolo

Leonardo Bottolo

University of Cambridge

H-index: 29
Petros Dellaportas

Petros Dellaportas

University College London

H-index: 29
Jonathan Forster

Jonathan Forster

University of Southampton

academic-engine