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09/16/2020
Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
The presence of protein aggregates in cells is a known feature of many h...
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04/11/2019
Bayesian optimal design using stochastic gradient optimisation and Fisher information gain
Finding high dimensional designs is increasingly important in applicatio...
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04/11/2019
High dimensional optimal design using stochastic gradient optimisation and Fisher information gain
Finding high dimensional designs is increasingly important in applicatio...
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03/12/2018
Efficient construction of Bayes optimal designs for stochastic process models
Stochastic process models are now commonly used to analyse complex biolo...
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03/12/2018
Bayesian inference for a partially observed birth-death process using data on proportions
Stochastic kinetic models are often used to describe complex biological ...
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10/04/2017
