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02/20/2023
Free-Form Variational Inference for Gaussian Process State-Space Models
Gaussian process state-space models (GPSSMs) provide a principled and fl...
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10/06/2022
A correlated pseudo-marginal approach to doubly intractable problems
Doubly intractable models are encountered in a number of fields, e.g. so...
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03/18/2022
Modularized Bayesian analyses and cutting feedback in likelihood-free inference
There has been much recent interest in modifying Bayesian inference for ...
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12/13/2021
An Introduction to Quantum Computing for Statisticians and Data Scientists
Quantum computers promise to surpass the most powerful classical superco...
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05/04/2021
Modelling age-related changes in executive functions of soccer players
The widespread popularity of soccer across the globe has turned it into ...
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08/31/2020
Likelihood-based inference for modelling packet transit from thinned flow summaries
The substantial growth of network traffic speed and volume presents prac...
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02/29/2020
Online Binary Space Partitioning Forests
The Binary Space Partitioning-Tree (BSP-Tree) process was recently propo...
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02/26/2020
Bayesian Nonparametric Space Partitions: A Survey
Bayesian nonparametric space partition (BNSP) models provide a variety o...
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02/25/2020
Smoothing Graphons for Modelling Exchangeable Relational Data
Modelling exchangeable relational data can be described by graphon theor...
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02/24/2020
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling
The Dirichlet Belief Network (DirBN) has been recently proposed as a pro...
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12/09/2019
Logistic regression models for aggregated data
Logistic regression models are a popular and effective method to predict...
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09/17/2019
Multiclass classification of growth curves using random change points and heterogeneous random effects
Faltering growth among children is a nutritional problem prevalent in lo...
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09/11/2019
Efficient Bayesian synthetic likelihood with whitening transformations
Likelihood-free methods are an established approach for performing appro...
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08/30/2019
Composite likelihood methods for histogram-valued random variables
Symbolic data analysis has been proposed as a technique for summarising ...
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04/17/2019
Estimation and uncertainty quantification for extreme quantile regions
Estimation of extreme quantile regions, spaces in which future extreme e...
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02/25/2019
Acceleration of expensive computations in Bayesian statistics using vector operations
Many applications in Bayesian statistics are extremely computationally i...
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09/28/2018
Extremal properties of the multivariate extended skew-normal distribution
The skew-normal and related families are flexible and asymmetric paramet...
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09/27/2018
Variance reduction properties of the reparameterization trick
The reparameterization trick is widely used in variational inference as ...
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09/27/2018
On some variance reduction properties of the reparameterization trick
The so-called reparameterization trick is widely used in variational inf...
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09/11/2018
New models for symbolic data analysis
Symbolic data analysis (SDA) is an emerging area of statistics based on ...
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06/19/2018
Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives
This article considers the problem of estimating a multivariate probit m...
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05/08/2018
Extremal properties of the extended skew-normal distribution
The skew-normal and related families are flexible and asymmetric paramet...
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11/08/2017
Estimating global species richness using symbolic data meta-analysis
Global species richness is a key biodiversity metric. Despite recent eff...
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08/02/2016