Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models

JOURNAL ARTICLE published 3 April 2023 in Journal of the American Statistical Association

Authors: Reza Mohammadi | Hélène Massam | Gérard Letac

Gaussian approximation of Gaussian scale mixtures

JOURNAL ARTICLE published 5 January 2021 in Kybernetika

Authors: Gérard Letac | Hélène Massam

Bayesian Inference in Graphical Gaussian Models

BOOK CHAPTER published 12 November 2018 in Handbook of Graphical Models

Authors: Hélène Massam

Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants

JOURNAL ARTICLE published 1 January 2023 in Bayesian Analysis

Authors: Quan Vu | Matthew T. Moores | Andrew Zammit-Mangion

Bayesian model selection approach for coloured graphical Gaussian models

JOURNAL ARTICLE published 21 September 2020 in Journal of Statistical Computation and Simulation

Authors: Qiong Li | Xin Gao | Hélène Massam

Approximate Bayesian estimation in large coloured graphical Gaussian models

JOURNAL ARTICLE published March 2018 in Canadian Journal of Statistics

Authors: Qiong Li | Xin Gao | Hélène Massam

Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries

JOURNAL ARTICLE published 1 June 2018 in Biometrika

Authors: H Massam | Q Li | X Gao

Model selection in the space of Gaussian models invariant by symmetry

JOURNAL ARTICLE published 1 June 2022 in The Annals of Statistics

Authors: Piotr Graczyk | Hideyuki Ishi | Bartosz Kołodziejek | Hélène Massam

A Normalizing Logarithmic Transformation for Inverse Gaussian Random Variables

JOURNAL ARTICLE published May 1978 in Technometrics

Authors: G. A. Whitmore | M. Yalovsky

Bayesian Structure Learning in Sparse Gaussian Graphical Models

JOURNAL ARTICLE published 1 March 2015 in Bayesian Analysis

Authors: A. Mohammadi | E. C. Wit

The Performance of Covariance Selection Methods That Consider Decomposable Models Only

JOURNAL ARTICLE published 1 September 2014 in Bayesian Analysis

Authors: A. Marie Fitch | M. Beatrix Jones | Hélène Massam

Gaussian Process Priors for Bayesian Portfolio Selection

JOURNAL ARTICLE published in SSRN Electronic Journal

Authors: Roman Croessmann

Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions

JOURNAL ARTICLE published January 2017 in International Journal of Approximate Reasoning

Authors: Khader Khadraoui

A Normalizing Logarithmic Transformation for Inverse Gaussian Random Variables

JOURNAL ARTICLE published May 1978 in Technometrics

Authors: G. A. Whitmore | M. Yalovsky

Bayesian Variable Selection for Random Intercept Modeling of Gaussian and Non‐Gaussian Data

BOOK CHAPTER published 6 October 2011 in Bayesian Statistics 9

Authors: Sylvia Frühwirth‐Schnatter | Helga Wagner

A decomposition for the exponential dispersion model generated by the invariant measure on the hyperboloid

JOURNAL ARTICLE published October 1993 in Journal of Theoretical Probability

Authors: M. Casalis | G. Letac | H. Massam

Comparing Gaussian Graphical Models with the Posterior Predictive Distribution and Bayesian Model Selection

POSTED CONTENT published

Authors: Donald Ray Williams | Philippe Rast | Luis Pericchi | Joris Mulder

Bayesian approach for model selection

BOOK CHAPTER published 27 May 2010 in Bayesian Model Selection and Statistical Modeling

Various Bayesian model selection criteria

BOOK CHAPTER published 27 May 2010 in Bayesian Model Selection and Statistical Modeling

Bayesian Model Selection of Regular Vine Copulas

JOURNAL ARTICLE published 1 December 2018 in Bayesian Analysis

Authors: Lutz F. Gruber | Claudia Czado