activity
20102026
most citedBayesian inference for multiple Gaussian graphical models with application to metabolic association networks

39 citations · 140 across the 29 of their papers we have counts for

collaborators
Showing stat.COShow all

5 papers · 1 filter

stat.CO2021★ 13 cited

The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models

Willem van den Boom, Alexandros Beskos, Maria De Iorio

Gaussian graphical models can capture complex dependency structures among variables. For such models, Bayesian inference is attractive as it provides principled ways to incorporate…

stat.CO2021★ 10 cited

Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo

Willem van den Boom, Ajay Jasra, Maria De Iorio +2

Markov chain Monte Carlo (MCMC) is a powerful methodology for the approximation of posterior distributions. However, the iterative nature of MCMC does not naturally facilitate its…

stat.CO2014

A simulation approach for change-points on phylogenetic trees

Adam Persing, Ajay Jasra, Alexandros Beskos +2

We observe sequences at each of sites, and assume that they have evolved from an ancestral sequence that forms the root of a binary tree of known topology and branch length…

stat.CO2013

Computational Methods for a Class of Network Models

Junshan Wang, Ajay Jasra, Maria De Iorio

In the following article we provide an exposition of exact computational methods to perform parameter inference from partially observed network models. In particular, we consider t…

stat.CO2010★ 5 cited

The Time Machine: A Simulation Approach for Stochastic Trees

Ajay Jasra, Maria De Iorio, Marc Chadeau-Hyam

In the following paper we consider a simulation technique for stochastic trees. One of the most important areas in computational genetics is the calculation and subsequent maximiza…