20 citations · 41 across the 4 of their papers we have counts for
4 papers
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
Samuel Wiqvist, Umberto Picchini, Julie Lyng Forman +2
Delayed-acceptance Markov chain Monte Carlo (DA-MCMC) samples from a probability distribution via a two-stages version of the Metropolis-Hastings algorithm, by combining the target…
Bayesian inference for stochastic differential equation mixed effects models of a tumor xenography study
Umberto Picchini, Julie Lyng Forman
We consider Bayesian inference for stochastic differential equation mixed effects models (SDEMEMs) exemplifying tumor response to treatment and regrowth in mice. We produce an exte…
Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation
Umberto Picchini, Julie Lyng Forman
In recent years dynamical modelling has been provided with a range of breakthrough methods to perform exact Bayesian inference. However it is often computationally unfeasible to ap…
A new approach to multi-modal diffusions with applications to protein folding
Julie Forman, Michael Sørensen
This article demonstrates that flexible and statistically tractable multi-modal diffusion models can be attained by transformation of simple well-known diffusion models such as the…