Sumeetpal Sidhu Singh
University of Cambridge
H-index: 32
Europe-United Kingdom
Top articles of Sumeetpal Sidhu Singh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations | arXiv preprint arXiv:2403.20313 | Nicolas Chopin Francesca R Crucinio Sumeetpal S Singh | 2024/3/29 |
Conditional particle filters with bridge backward sampling | Journal of Computational and Graphical Statistics | Santeri Karppinen Sumeetpal S Singh Matti Vihola | 2023/7 |
De-biasing particle filtering for a continuous time hidden Markov model with a Cox process observation model | Statistica Sinica | Ruiyang Jin Sumeetpal S. Singh Nicolas Chopin | 2023/4 |
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC | Journal of the Royal Statistical Society Series B: Statistical Methodology | Torben Sell Sumeetpal S. Singh | 2023/1 |
Mixing time of the conditional backward sampling particle filter | arXiv preprint arXiv:2312.17572 | Joona Karjalainen Anthony Lee Sumeetpal S Singh Matti Vihola | 2023/12/29 |
On the forgetting of Particle Filters | Joona Karjalainen Anthony Lee Sumeetpal S. Singh Matti Vihola | 2023/9 | |
Multilevel Bayesian Deep Neural Networks | arXiv preprint arXiv:2203.12961 | Neil K Chada Ajay Jasra Kody JH Law Sumeetpal S Singh | 2022/3/24 |
Limits of accuracy for parameter estimation and localisation in Single-Molecule Microscopy via sequential Monte Carlo methods | Siam Journal on Imaging Sciences | A Marie d'Avigneau Sumeetpal S Singh Raimund J Ober | 2022/1/27 |
On resampling schemes for particle filters with weakly informative observations | Annals of Statistics | Nicolas Chopin Sumeetpal S Singh Tom\'as Soto Matti Vihola | 2022/12 |
Backward Ito-Ventzell and stochastic interpolation formulae | Stochastic Processess and their Applications | Pierre del Moral Sumeetpal Sidhu Singh | 2022/12 |
Quasi-Newton Sequential Monte Carlo | arXiv preprint arXiv:2211.12580 | Samuel Duffield Sumeetpal S Singh | 2022/11/22 |
Asymptotic analysis of model selection criteria for general hidden Markov models | Stochastic Processes and their Applications | Shouto Yonekura Alexandros Beskos Sumeetpal S Singh | 2021/2/1 |
Anytime Parallel Tempering | Statistics and Computing | Alix Marie d'Avigneau Sumeetpal S. Singh Lawrence M. Murray | 2021 |
Ensemble Kalman Inversion for General Likelihoods | Statistics and Probability Letters | Sam Duffield Sumeetpal S. Singh | 2021/10 |
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models | Statistics and Computing | J.V. Goldman S.S. Singh | 2021/9/1 |
Anytime Monte Carlo | Data-Centric Engineering | Lawrence Murray Sumeetpal S. Singh Anthony Lee | 2021/6/29 |
Asymptotic behaviour of the posterior distribution in approximate Bayesian computation | Stochastic Analysis and Applications | Thomas A Dean Sumeetpal S Singh Ajay Jasra | 2020/12/15 |
Online Particle Smoothing with Application to Map-matching | IEEE Transactions on Signal Processing (doi: 10.1109/TSP.2022.3141259) | S.D.D. Duffield S.S. Singh | 2020/12 |
A backward Itô–Ventzell formula with an application to stochastic interpolation | Comptes Rendus. Mathématique | Pierre Del Moral Sumeetpal S Singh | 2020 |
Co-Authors
