5 citations · 8 across the 2 of their papers we have counts for
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stat.ME2022
Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems
Ben Lambert, Chon Lok Lei, Martin Robinson +5
Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to spe…
stat.ME2020★ 3 cited
Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models
Richard Creswell, Ben Lambert, Chon Lok Lei +2
When modelling time series, it is common to decompose observed variation into a "signal" process, the process of interest, and "noise", representing nuisance factors that obfuscate…
stat.ME2020
: A robust MCMC convergence diagnostic with uncertainty using decision tree classifiers
Ben Lambert, Aki Vehtari
Markov chain Monte Carlo (MCMC) has transformed Bayesian model inference over the past three decades: mainly because of this, Bayesian inference is now a workhorse of applied scien…