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08/01/2023
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Developing an efficient computational scheme for high-dimensional Bayesi...
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11/22/2022
eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring
DNA-based biodiversity surveys involve collecting physical samples from ...
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10/22/2021
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection
We introduce a framework for efficient Markov Chain Monte Carlo (MCMC) a...
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11/01/2020
A general modelling framework for open wildlife populations based on the Polya Tree prior
Wildlife monitoring for open populations can be performed using a number...
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08/18/2017
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p
The availability of data sets with large numbers of variables is rapidly...
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08/02/2016