| Satyam - National University of Singapore, Singapore | |
| O. Deniz Akyildiz Universidad Carlos III de Madrid, Spain | |
| Christophe Andrieu University of Bristol, UK | On the hyporcoercivity of PDMP-Monte Carlo processes Some properties of Q-self-adjoint processes |
| Khai Xiang Au National University of Singapore, singapore | |
| Marco Ballesio King Abdullah University of Science and Technology, Saudi Arabia | |
| Aishwarya Bhaskaran National University of Singapore, Singapore | |
| Adrian Bishop Data61/CSIRO and University of Technology Sydney, Australia | On some stability and uniform fluctuation estimates of ensemble Kalman-Bucy filters Monte Carlo computational methods for Stochastic nonlinear optimal control |
| Neil Chada National University of Singapore, Singapore | Posterior convergence analysis of α-stable processes Advancements of the EnKF: inverse problems and optimal transport |
| Kian Ming Adam Chai DSO National Laboratories, Singapore | |
| Hock Peng Chan National University of Singapore, Singapore | |
| Ngoc Huy Chau Alfréd Rényi Institute of Mathematics, Budapest, Hungary | |
| Sanjay Chaudhuri National University of Singapore, Singapore | An easy-to-use empirical likelihood ABC method (PDF) |
| Taeryon Choi Korea University, Korea | High-dimensional Bayesian semiparametric quantile models (Video) |
| Yunjin Choi National University of Singapore, Singapore | Adaptive community detection via fused l-1 penalty |
| Nawinda Chutsagulprom Chiang Mai University, Thailand | |
| Dan Crisan Imperial College London, UK | Particle filters in high dimensions |
| Junpeng Cui DSAP NUS, Singapore | |
| Tiangang Cui Monash University, Australia | Optimisation-based sampling approaches for hierarchical Bayesian inference Subspace acceleration for large-scale Bayesian inverse problems |
| Pierre Del Moral Institut National de Recherche en Informatique et en Automatique, France | A duality formula and a particle Gibbs sampler for continuous time Feynman-Kac measures on path spaces Uniform estimates for particle filters |
| George Deligiannidis University of Oxford, UK | BPS and randomised HMC (PDF) |
| Arnaud Doucet University of Oxford, UK | Piecewise-deterministic Markov chain Monte Carlo schemes (Video) TBA |
| Christopher Drovandi Queensland University of Technology Brisbane, Australia | Extending simulation-based Bayesian inference to higher dimensions |
| Jin-Chuan Duan National University of Singapore, Singapore | Variable selection with big data based on zero norm and via sequential Monte Carlo |
| Markus Eisenbach Oak Ridge National Laboratory, USA | Histogram-free multicanonical Monte Carlo Sampling method for statistical physics of systems with continous phase space |
| Axel Finke National University of Singapore, Singapore | Limit theorems for sequential MCMC methods (PDF) On the benefits of correlating particles within SMC |
| Neil Foster University College London, UK | |
| Jordan Franks University of Jyväskylä, Finland | Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance (Video) Unbiased inference for discretely observed hidden Markov model diffusions |
| Young Hee Geum Dankook University, South Korea | |
| Atin Ghosh Graduate student , India | |
| Matthew Graham National University of Singapore, Singapore | Sidestepping intractability by augmentation: auxiliary variable inference methods (Videos) Spatially smooth local ensemble transform particle filtering (Video) |
| Nick Heard Imperial College London, UK | Bayesian changepoint detection in cyber-security |
| Jeremy Heng Harvard University, USA | Unbiased Hamiltonian Monte Carlo with couplings Controlled sequential Monte Carlo |
| Danfeng Hong National University of Singapore, Singapore | |
| Jeremie Houssineau National University of Singapore, Singapore | Inference for multi-object dynamical systems: methods and analysis Multilevel Monte Carlo and transport maps |
| Maria De Iorio University College London, UK | Bayesian nonparametric autoregressive models via latent variable representation Bayesian nonparametric modelling of recurrent event processes |
| Ajay Jasra National University of Singapore, Singapore | |
| Kengo Kamatani Osaka University, Japan | Reversible proposal MCMC with heavy-tailed target distributions (PDF) |
| Nikolas Kantas Imperial College London, UK | Particle filtering for stochastic Navier-Stokes signal observed with additive noise |
| Kody Law The University of Manchester, UK | Strategies for multilevel Monte Carlo Bayesian static parameter estimation for partially observed diffusions using multilevel Monte Carlo (Video) |
| Anthony Lee University of Bristol, UK | Variance estimation in the particle filter |
| Cheng Li National University of Singapore, Singapore | A divide-and-conquer Bayesian approach to large-scale Kriging (PDF) An overview of parallel and distributed MCMC methods (PDF) |
| Pengfei Liu National University of Singapore, Singapore | |
| Qiang Liu National University of Singapore, Singapore | |
| Xuejun Ma National University of Singapore, Singapore | |
| Vasileios Maroulas University of Tennessee, USA | Distributions of persistence diagrams and approximations (PDF) |
| Gael M. Martin Monash University, Australia | Approximate Bayesian forecasting |
| Youssef M. Marzouk Massachusetts Institute of Technology, USA | Nonlinear filtering with local couplings |
| Joaquín Míguez Universidad Carlos III de Madrid, Spain | Stable approximation schemes for optimal filters (PDF) Biased importance sampling schemes and the weight degeneracy problem |
| Aleksandar Mijatović University of Warwick & The Alan Turing Institute, UK | Geometrically convergent simulation of the extrema of Levy processes |
| Eric Moulines École Polytechnique, France | Langevin MCMC: theory and methods |
| Lawrence Murray Uppsala University, Sweden | Delayed sampling and automatic Rao-Blackwellization of probabilistic programs (PDF) The birch probabilistic programming language (PDF) |
| Duc Quang Nguyen Singapore Eye Research Institute, Singapore | |
| David Nott National University of Singapore, Singapore | A short introduction to approximate Bayesian computation (ABC) Gaussian variational approximation with structured covariance matrices |
| Yasuhiro Omori University of Tokyo, Japan | Particle rolling MCMC with double block sampling: conditional SMC update approach |
| Luke Ong University of Oxford, United Kingdom | |
| Chananun Onjan Chiang Mai University, Thailand | |
| Ni Luh Putu Satyaning Pradnya Paramita Institute Teknologi Sepuluh Nopember, Indonesia | |
| Sahani Pathiraja Universität Potsdam , Germany | |
| Daniel Paulin University of Oxford, UK | Connections between optimization and sampling Hamiltonian descent methods for optimization |
| Parkpoom Phetpradap Chiang Mai University, Thailand | |
| Michael Pitt King's College London, UK | The correlated pseudo marginal method (PDF) |
| Benjamin Poignard Osaka University, Japan | Asset return predictability from a Bayesian perspective (Video) |
| Sebastian Reich Universität Potsdam, Germany | Filtering and smoothing through Lagrangian interacting particle representations |
| Christian Robert University of Warwick, UK and Université Paris-Dauphine, France | Approximate Bayesian computation with the Wasserstein distance |
| Lassi Roininen Lappeenranta University of Technology, Finland | Hierarchical Mat'ern fields and Cauchy difference priors for Bayesian inversion |
| Patrick Rubin-Delanchy University of Bristol, UK | Spectral embedding of networks (PDF) |
| Khanna Saurabh National University of Singapore, Singapore | |
| Jonathan Scarlett National University of Singapore, Singapore | |
| Torben Sell University of Cambridge, UK | |
| Alexander Shestopaloff The Alan Turing Institute, UK | |
| Eunha Shim Soongsil University, South Korea | |
| Christine Shoemaker National University of Singapore, Singapore | |
| Sumeetpal Singh University of Cambridge, UK | The coupled conditional backward sampling particle filter TBA |
| Xiaolin Song Osaka University, Japan | |
| Phisiphong Sonprathet Chiang Mai University, Thailand | |
| Linda, Siew Li Tan National University of Singapore, Singapore | Dynamic degree-corrected blockmodels for social networks: a nonparametric approach (PDF) Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks (PDF) |
| Alexandre Thiery National University of Singapore, Singapore | The bouncy particle sampler in practice (PDF) |
| Thomson, Xin Tong National University of Singapore, Singapore | Ensemble Kalman filter and its performance in high dimension settings (PDF) Localization for MCMC (PDF) |
| Willem van den Boom National University of Singapore, Singapore | Approximating high-dimensional posteriors with nuisance parameters via integrated rotated Gaussian approximation |
| Matti Vihola University of Jyväskylä, Finland | Importance sampling type estimators based on approximate marginal MCMC Unbiased estimators and multilevel Monte Carlo |
| Ba-Ngu Vo Curtin University, Australia | High-dimensional Inferencing for multi-object dynamical systems (PDF) |
| Junjie Wang National University of Singapore, Singapore | |
| Rui Wang National University of Singapore, Singapore | |
| Liang Chi Wee Defence Science Organisation, Singapore | |
| Nick Whiteley University of Bristol, UK | The Viterbi process and parallelized estimation in high-dimensions |
| Yaxian Xu National University of Singapore, Singapore | |
| Kewen Yang National University of Singapore, Singapore | |
| Yannis G. Yatracos National University of Singapore, Singapore | |
| Sinan Yildirim Sabancı University, Turkey | Utilising inference in state-space models with multiple paths from conditional sequetial Monte Carlo (PDF) |
| Shouto Yonekura University College London, UK | |
| Fangyuan Yu National University of Singapore, Singapore | |
| Jiajie Zeng National University of Singapore, Singapore | |
| Jun Zhu National University of Singapore, Singapore |