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Computational modelling of Chromosomally Clustering Protein Domains In Bacteria

Background: In bacteria, genes with related functions - such as those involved in the metabolism of the same compound or in infection processes - are often physically close on the genome and form groups called clusters. The enrichment of such …

Fine-scale Inference of Ancestry Segments without Prior Knowledge of Admixing Groups

We present an algorithm for inferring ancestry segments and characterizing admixture events, which involve an arbitrary number of genetically differentiated groups coming together. This allows inference of the demographic history of the species, …

Statistical challenges in estimating past climate changes

Latent Space Models for Multiview Network Data

Social relationships consist of interactions along multiple dimensions. In social networks, this means that individuals form multiple types of relationships with the same person (e.g., an individual will not trust all of his/her acquaintances). …

Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles

The proliferation of online communities has attracted much attention to modelling user behaviour in terms of social interaction, language adoption and contribution activity. Nevertheless, when applied to large-scale and cross-platform behavioural …

The influence of network structures of Wikipedia discussion pages on the efficiency of WikiProjects

As a platform for discussion and communication, talk pages play an essential role in Wikipedia to facilitate coordination, sharing of information and knowledge resources among Wikipedians. In this work we explore the influence of network structures …

Role analysis in networks using mixtures of exponential random graph models

This article introduces a novel and flexible framework for investigating the roles of actors within a network. Particular interest is in roles as defined by local network connectivity patterns, identified using the ego-networks extracted from the …

Bayesian inference for palaeoclimate with time uncertainty and stochastic volatility

Mixtures of biased sentiment analysers

Modelling bias is an important consideration when dealing with inexpert annotations. We are concerned with training a classifier to perform sentiment analysis on news media articles, some of which have been manually annotated by volunteers. The …

Variational Bayesian Inference for the Latent Position Cluster Model for network data

A number of recent approaches to modeling social networks have focussed on embedding the nodes in a latent “social space”. Nodes that are in close proximity are more likely to form links than those who are distant. This naturally accounts for …