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09/14/2023
DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing
Controlling the variations of sound effects using neural audio synthesis...
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06/01/2023
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
Models with random effects, such as generalised linear mixed models (GLM...
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02/21/2023
Bayesian Inference for Evidence Accumulation Models with Regressors
Evidence accumulation models (EAMs) are an important class of cognitive ...
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02/13/2023
Reliable Bayesian Inference in Misspecified Models
We provide a general solution to a fundamental open problem in Bayesian ...
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09/29/2021
An efficient pseudo marginal method for state space models
Pseudo Marginal Metropolis-Hastings (PMMH) is a general approach to carr...
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08/29/2021
Inequality in Education: A Comparison of Australian Indigenous and Nonindigenous Populations
Educational achievement distributions for Australian indigenous and noni...
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06/28/2021
Flexible Variational Bayes based on a Copula of a Mixture of Normals
Variational Bayes methods approximate the posterior density by a family ...
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02/12/2021
Efficient Selection Between Hierarchical Cognitive Models: Cross-validation With Variational Bayes
Model comparison is the cornerstone of theoretical progress in psycholog...
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10/13/2020
Variational Approximation of Factor Stochastic Volatility Models
Estimation and prediction in high dimensional multivariate factor stocha...
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10/16/2019
Identifying relationships between cognitive processes across tasks, contexts, and time
It is commonly assumed that a specific testing occasion (task, design, p...
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06/26/2019
Time-evolving psychological processes over repeated decisions
Many psychological experiments have participants repeat a simple task. T...
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06/14/2019
Robustly estimating the marginal likelihood for cognitive models via importance sampling
Recent advances in Markov chain Monte Carlo (MCMC) extend the scope of B...
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06/07/2019
A long short-term memory stochastic volatility model
Stochastic Volatility (SV) models are widely used in the financial secto...
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06/26/2018
New Estimation Approaches for the Linear Ballistic Accumulator Model
The Linear Ballistic Accumulator (LBA) model of Brown (2008) is used as ...
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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
Subsampling Sequential Monte Carlo for Static Bayesian Models
Our article shows how to carry out Bayesian inference by combining data ...
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05/02/2018
Flexible Density Tempering Approaches for State Space Models with an Application to Factor Stochastic Volatility Models
Duan (2015) propose a tempering or annealing approach to Bayesian infere...
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04/12/2018