4 papers
Parallelising Particle Filters with Butterfly Interactions
Kari Heine, Nick Whiteley, A. Taylan Cemgil
Bootstrap particle filter (BPF) is the corner stone of many popular algorithms used for solving inference problems involving time series that are observed through noisy measurement…
Bridging trees for posterior inference on Ancestral Recombination Graphs
Kari Heine, Alex Beskos, Ajay Jasra +2
We present a new Markov chain Monte Carlo algorithm, implemented in software Arbores, for inferring the history of a sample of DNA sequences. Our principal innovation is a bridging…
Online Inference with Multi-modal Likelihood Functions
Mathieu Gerber, Kari Heine
Let be a sequence of i.i.d.\ observations and be a parametric model. We introduce a new online algorithm for computing a sequence $(\h…
Bayesian Inference for Duplication-Mutation with Complementarity Network Models
Ajay Jasra, Adam Persing, Alexandros Beskos +2
We observe an undirected graph without multiple edges and self-loops, which is to represent a protein-protein interaction (PPI) network. We assume that evolved under the du…