Yaxian Xu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sequential Monte Carlo optimization and statistical inference	2022	Jin‐Chuan Duan Shuping Li Yaxian Xu
+ PDF Chat	Markov chain simulation for multilevel Monte Carlo	2021	Ajay Jasra Kody J. H. Law Yaxian Xu
+ PDF Chat	A multilevel approach for stochastic nonlinear optimal control	2020	Ajay Jasra Jeremy Heng Yaxian Xu Adrian N. Bishop
+ PDF Chat	MULTI-INDEX SEQUENTIAL MONTE CARLO METHODS FOR PARTIALLY OBSERVED STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS	2020	Ajay Jasra Kody J. H. Law Yaxian Xu
+	A Multilevel Approach for Stochastic Nonlinear Optimal Control	2019	Ajay Jasra Jeremy Heng Yaxian Xu Adrian N. Bishop
+	A Multilevel Approach for Stochastic Nonlinear Optimal Control	2019	Ajay Jasra Jeremy Heng Yaxian Xu Adrian N. Bishop
+	A method for high-dimensional smoothing	2018	Yaxian Xu Ajay Jasra
+	Multi-Index Sequential Monte Carlo Methods for partially observed Stochastic Partial Differential Equations	2018	Yaxian Xu Ajay Jasra Kody J. H. Law
+	Markov chain Simulation for Multilevel Monte Carlo	2018	Ajay Jasra Kody J. H. Law Yaxian Xu

Common Coauthors

Coauthor	Papers Together
Ajay Jasra	8
Kody J. H. Law	4
Jeremy Heng	3
Adrian N. Bishop	3
Jin‐Chuan Duan	1
Shuping Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Multilevel Particle Filters	2017	Ajay Jasra Kengo Kamatani Kody J. H. Law Yan Zhou	5
+ PDF Chat	Multilevel Monte Carlo Path Simulation	2008	Michael B. Giles	5
+ PDF Chat	Multilevel Monte Carlo methods	2015	Michael B. Giles	5
+ PDF Chat	Bayesian Static Parameter Estimation for Partially Observed Diffusions via Multilevel Monte Carlo	2018	Ajay Jasra Kengo Kamatani Kody J. H. Law Yan Zhou	5
+ PDF Chat	Multilevel Monte Carlo Methods	2001	Stefan Heinrich	5
+ PDF Chat	Particle Markov Chain Monte Carlo Methods	2010	Christophe Andrieu Arnaud Doucet Roman Holenstein	5
+ PDF Chat	Inverse problems: A Bayesian perspective	2010	Andrew M. Stuart	4
+ PDF Chat	SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models	2012	Nicolás Chopin Pierre Jacob Omiros Papaspiliopoulos	4
+	Multilevel sequential Monte Carlo samplers	2016	Alexandros Beskos Ajay Jasra Kody J. H. Law Raúl Tempone Yan Zhou	3
+ PDF Chat	A MULTI-INDEX MARKOV CHAIN MONTE CARLO METHOD	2018	Ajay Jasra Kengo Kamatani Kody J. H. Law Yan Zhou	3
+	On Particle Methods for Parameter Estimation in State-Space Models	2015	Nikolas Kantas Arnaud Doucet Sumeetpal S. Singh J.M. Maciejowski Nicolás Chopin	3
+	Unbiased inference for discretely observed hidden Markov model diffusions	2018	Neil K. Chada Jordan Franks Ajay Jasra Kody J. H. Law Matti Vihola	3
+ PDF Chat	Multi-index Monte Carlo: when sparsity meets sampling	2015	Abdul-Lateef Haji-Ali Fabio Nobile Raúl Tempone	3
+ PDF Chat	Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator	2015	Arnaud Doucet M. Pitt George Deligiannidis Robert Kohn	2
+ PDF Chat	Branching and interacting particle systems approximations of feynman-kac formulae with applications to non-linear filtering	2000	Pierre Del Moral Laurent Miclo	2
+ PDF Chat	Path integral control and state-dependent feedback	2015	Sep Thijssen Hilbert J. Kappen	2
+ PDF Chat	Evaluating Data Assimilation Algorithms	2012	Kody J. H. Law Andrew M. Stuart	2
+	Spectral Methods for Time-Dependent Problems	2007	Jan S. Hesthaven Sigal Gottlieb David Gottlieb	2
+ PDF Chat	Iterated random functions	2017	Persi Diaconis David A. Freedman	2
+ PDF Chat	Learning effective state-feedback controllers through efficient multilevel importance samplers	2018	S. A. Menchón Hilbert J. Kappen	2
+ PDF Chat	Linear Theory for Control of Nonlinear Stochastic Systems	2005	Hilbert J. Kappen	2
+	SIVR epidemic model with stochastic perturbation	2012	Elisabetta Tornatore Pasquale Vetro Stefania Maria Buccellato	2
+	Control of a Solution of a Stochastic Integral Equation	1972	Н. В. Крылов	2
+ PDF Chat	Particle Filtering for Stochastic Navier--Stokes Signal Observed with Linear Additive Noise	2018	Francesc Pons Llopis Nikolas Kantas Alexandros Beskos Ajay Jasra	2
+	Combined Parameter and State Estimation in Simulation-Based Filtering	2001	Jane Liu West Mike	2
+ PDF Chat	Nonlinear stochastic receding horizon control: stability, robustness and Monte Carlo methods for control approximation	2017	Francesco Bertoli Adrian N. Bishop	2
+ PDF Chat	Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother	2017	Hans-Christian Ruiz Euler Hilbert J. Kappen	2
+ PDF Chat	Adaptive Importance Sampling for Control and Inference	2016	Hilbert J. Kappen H. C. Ruiz	2
+ PDF Chat	Advanced Multilevel Monte Carlo Methods	2020	Ajay Jasra Kody J. H. Law Carina Suciu	2
+ PDF Chat	Optimal control as a graphical model inference problem	2012	Hilbert J. Kappen Vicenç Gómez Manfred Opper	2
+ PDF Chat	Particle methods for maximum likelihood estimation in latent variable models	2007	Adam M. Johansen Arnaud Doucet Manuel Davy	1
+	Kendall's Advanced Theory of Statistics, 2: Classical Inference and Relationship.	1993	N. Keiding A. Stuart J. K. Ord	1
+ PDF Chat	Approximate Smoothing and Parameter Estimation in High-Dimensional State-Space Models	2017	Axel Finke Sumeetpal S. Singh	1
+ PDF Chat	Controlled Diffusion Processes	1980	Н. В. Крылов	1
+	Multilevel ensemble Kalman filtering for spatially extended models	2016	Alexey Chernov Haakon Hoel Kody J. H. Law Fabio Nobile Raúl Tempone	1
+ PDF Chat	Path integral guided policy search	2017	Yevgen Chebotar Mrinal Kalakrishnan Ali Abdullah Yahya Adrian Li Stefan Schaal Sergey Levine	1
+ PDF Chat	A stable particle filter for a class of high-dimensional state-space models	2017	Alexandros Beskos Dan Crisan Ajay Jasra Kengo Kamatani Yan Zhou	1
+	Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals	2018	Alexandros Beskos Ajay Jasra Kody J. H. Law Youssef Marzouk Yan Zhou	1
+	Inference via low-dimensional couplings	2017	Alessio Spantini Daniele Bigoni Youssef Marzouk	1
+ PDF Chat	Dynamics of Drug Resistance: Optimal Control of an Infectious Disease	2019	Naveed Chehrazi Lauren E. Cipriano Eva A. Enns	1
+ PDF Chat	‘Unbiased Hamiltonian Monte Carlo with couplings’	2020	Jeremy Heng Pierre Jacob	1
+	Stochastic Differential Equations: Theory and Applications.	1976	P. Whittle Ludwig Arnold	1
+	Regularized Multiple Regression Methods to Deal with Severe Multicollinearity	2018	Netti Herawati Khoirin Nisa Eri Setiawan Nusyirwan Nusyirwan Tiryono Tiryono	1
+	A method for high-dimensional smoothing	2018	Yaxian Xu Ajay Jasra	1
+	Variable Selection with Big Data based on Zero Norm and via Sequential Monte Carlo	2019	Jin‐Chuan Duan	1
+	A Multi-Index Markov Chain Monte Carlo Method	2017	Ajay Jasra Kengo Kamatani Kody J. H. Law Yan Zhou	1
+	Nested Sequential Monte Carlo Methods	2015	Christian A. Naesseth Fredrik Lindsten Thomas B. Schön	1
+	Toward practical N 2 Monte Carlo: the marginal particle filter	2005	Mike Klaas Nando de Freitas Arnaud Doucet	1
+ PDF Chat	The Bouncy Particle Sampler: A Nonreversible Rejection-Free Markov Chain Monte Carlo Method	2017	Alexandre Bouchard‐Côté Sebastian J. Vollmer Arnaud Doucet	1
+ PDF Chat	Unbiased Hamiltonian Monte Carlo with couplings	2018	Jeremy Heng Pierre Jacob	1