Ajay Jasra
Ajay Jasra
Professor of Data Science, The Chinese University of Hong Kong, Shenzhen
Verified email at - Homepage
Cited by
Cited by
Sequential monte carlo samplers
P Del Moral, A Doucet, A Jasra
Journal of the Royal Statistical Society Series B: Statistical Methodologyá…, 2006
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
A Jasra, CC Holmes, DA Stephens
An adaptive sequential Monte Carlo method for approximate Bayesian computation
P Del Moral, A Doucet, A Jasra
Statistics and computing 22, 1009-1020, 2012
On population-based simulation for static inference
A Jasra, DA Stephens, CC Holmes
Statistics and Computing 17, 263-279, 2007
On adaptive resampling strategies for sequential Monte Carlo methods
P Del Moral, A Doucet, A Jasra
On the stability of sequential Monte Carlo methods in high dimensions
A Beskos, D Crisan, A Jasra
Inference for LÚvy‐driven stochastic volatility models via adaptive sequential Monte Carlo
A Jasra, DA Stephens, A Doucet, T Tsagaris
Scandinavian Journal of Statistics 38 (1), 1-22, 2011
Sequential monte carlo for bayesian computation
JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ...
Bayesian Stat 8, 1-34, 2011
A stable particle filter for a class of high-dimensional state-space models
A Beskos, D Crisan, A Jasra, K Kamatani, Y Zhou
Advances in Applied Probability 49 (1), 24-48, 2017
Population-based reversible jump Markov chain Monte Carlo
A Jasra, DA Stephens, CC Holmes
Biometrika 94 (4), 787-807, 2007
Robust finite-time control of switched linear systems and application to a class of servomechanism systems
L Zhang, S Wang, HR Karimi, A Jasra
IEEE/ASME Transactions on Mechatronics 20 (5), 2476-2485, 2015
Sequential Monte Carlo methods for high-dimensional inverse problems: A case study for the Navier--Stokes equations
N Kantas, A Beskos, A Jasra
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 464-489, 2014
Multilevel sequential monte carlo samplers
A Beskos, A Jasra, K Law, R Tempone, Y Zhou
Stochastic Processes and their Applications 127 (5), 1417-1440, 2017
Filtering via approximate Bayesian computation
A Jasra, SS Singh, JS Martin, E McCoy
Statistics and Computing 22, 1223-1237, 2012
Parameter estimation for hidden Markov models with intractable likelihoods
TA Dean, SS Singh, A Jasra, GW Peters
Scandinavian Journal of Statistics 41 (4), 970-987, 2014
On the convergence of adaptive sequential Monte Carlo methods
A Beskos, A Jasra, N Kantas, A Thiery
A practical and efficient approach for Bayesian quantum state estimation
JM Lukens, KJH Law, A Jasra, P Lougovski
New Journal of Physics 22 (6), 063038, 2020
DECODE: A new method for discovering clusters of different densities in spatial data
T Pei, A Jasra, DJ Hand, AX Zhu, C Zhou
Data Mining and Knowledge Discovery 18, 337-369, 2009
Multilevel particle filters
A Jasra, K Kamatani, KJH Law, Y Zhou
SIAM Journal on Numerical Analysis 55 (6), 3068-3096, 2017
Sequential Monte Carlo methods for Bayesian elliptic inverse problems
A Beskos, A Jasra, EA Muzaffer, AM Stuart
Statistics and Computing 25, 727-737, 2015
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