Research Output per year

## Personal profile

### Ancillary activities

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## Fingerprint Dive into the research topics where Joris Bierkens is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Piecewise Deterministic Markov Process
Mathematics

Zigzag
Mathematics

Metropolis-Hastings
Mathematics

Monte Carlo Algorithm
Mathematics

Posterior distribution
Mathematics

Nonequilibrium Statistical Mechanics
Mathematics

Stochastic Optimal Control
Mathematics

Bayesian Analysis
Mathematics

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Network
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## Research Output 2014 2019

## Ergodicity of the zigzag process

Bierkens, J., Roberts, G. O. & Zitt, PIERRE. A., 1 Jan 2019, In : Annals of Applied Probability. 29, 4, p. 2266-2301 36 p.Research output: Contribution to Journal › Review article › Academic › peer-review

Zigzag

Ergodicity

Target

Piecewise Deterministic Markov Process

Stochastic Stability

## The zig-zag process and super-efficient sampling for Bayesian analysis of big data ^{1}

Bierkens, J., Fearnhead, P. & Roberts, G., 1 Jun 2019, In : Annals of Statistics. 47, 3, p. 1288-1320 33 p.Research output: Contribution to Journal › Article › Academic › peer-review

Zigzag

Bayesian Analysis

MCMC Methods

Subsampling

Posterior distribution

## Piecewise deterministic Markov processes for continuous-time Monte Carlo

Fearnhead, P., Bierkens, J., Pollock, M. & Roberts, G. O., 1 Aug 2018, In : Statistical Science. 33, 3, p. 386-412 27 p.Research output: Contribution to Journal › Article › Academic › peer-review

Piecewise Deterministic Markov Process

Monte Carlo Algorithm

Continuous Time

Markov Chain Monte Carlo

Posterior distribution

## Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

Bierkens, J., Bouchard-Côté, A., Doucet, A., Duncan, A. B., Fearnhead, P., Lienart, T., Roberts, G. & Vollmer, S. J., 1 May 2018, In : Statistics and Probability Letters. 136, p. 148-154 7 p.Research output: Contribution to Journal › Article › Academic › peer-review

Piecewise Deterministic Markov Process

Monte Carlo Algorithm

Deterministic Algorithm

Posterior distribution

Iteration

## A piecewise deterministic scaling limit of lifted Metropolis-Hastings in the Curie-Weiss model

Bierkens, J. & Roberts, G., 1 Apr 2017, In : Annals of Applied Probability. 27, 2, p. 846-882 37 p.Research output: Contribution to Journal › Article › Academic › peer-review

Metropolis-Hastings

Scaling Limit

Model

Jump

Scaling