43 citations · 242 across the 46 of their papers we have counts for
16 papers · 1 filter
Latent Position Network Models
Hardeep Kaur, Riccardo Rastelli, Nial Friel +1
In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this mo…
Bayesian Testing of Scientific Expectations Under Exponential Random Graph Models
Joris Mulder, Nial Friel, Philip Leifeld
The exponential random graph (ERGM) model is a commonly used statistical framework for studying the determinants of tie formations from social network data. To test scientific theo…
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza +1
In this paper, a multivariate count distribution with Conway-Maxwell (COM)-Poisson marginals is proposed. To do this, we develop a modification of the Sarmanov method for construct…
Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani
Nial Friel, Riccardo Rastelli
We present a discussion of the paper "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani. We believe that this paper contributes substantially t…
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo
Lampros Bouranis, Nial Friel, Florian Maire
The reversible jump Markov chain Monte Carlo (RJMCMC) method offers an across-model simulation approach for Bayesian estimation and model comparison, by exploring the sampling spac…
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets
Florian Maire, Nial Friel, Pierre Alquier
This paper introduces a framework for speeding up Bayesian inference conducted in presence of large datasets. We design a Markov chain whose transition kernel uses an (unknown) fra…