activity
20072022
most citedLocal mixture models of exponential families

12 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2022

A Multivariate Point Process Model for Simultaneously Recorded Neural Spike Trains

Reza Ramezan, Meixi Chen, Martin Lysy +1

The current state-of-the-art in neurophysiological data collection allows for simultaneous recording of tens to hundreds of neurons, for which point processes are an appropriate st…

stat.ME2015★ 1 cited

Mixture Models: Building a Parameter Space

Vahed Maroufy, Paul Marriott

Despite the flexibility and popularity of mixture models, their associated parameter spaces are often difficult to represent due to fundamental identification problems. This paper…

stat.ME2015★ 3 cited

Generalizing the Frailty Assumptions in Survival Analysis

Vahed Maroufy, Paul Marriott

This paper studies Cox's regression hazard model with an unobservable random frailty where no specific distribution is postulated for the frailty variable, and the marginal lifetim…

stat.ME2015

Local and global robustness in conjugate Bayesian analysis

Vahed Maroufy, Paul Marriott

This paper studies the influence of perturbations of conjugate priors in Bayesian inference. A perturbed prior is defined inside a larger family, local mixture models, and the effe…

stat.AP2014

Detection of Phase Shift Events

William Marshall, Paul Marriott

We consider the problem of change-point estimation of the instantaneous phase of an observed time series. Such change points, or phase shifts, can be markers of information transfe…

stat.CO2013

Variational Bayes inference and Dirichlet process priors

Hui Zhao, Paul Marriott

This paper shows how the variational Bayes method provides a computational efficient technique in the context of hierarchical modelling using Dirichlet process priors, in particula…