John Parslow

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Particle Markov Chain Monte Carlo Methods 2010 Christophe Andrieu
Arnaud Doucet
Roman Holenstein
2
+ Novel approach to nonlinear/non-Gaussian Bayesian state estimation 1993 Neil Gordon
David Salmond
A. F. M. Smith
2
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
2
+ Smooth particle filters for likelihood evaluation and maximisation 2002 M. Pitt
1
+ Parametric Empirical Bayes Methods for Ecological Applications 1996 Jay M. Ver Hoef
1
+ PDF Chat An Adaptive Metropolis Algorithm 2001 Heikki Haario
Eero Saksman
J. Tamminen
1
+ Markov Chain Monte Carlo in Practice: A Roundtable Discussion 1998 Robert E. Kass
Bradley P. Carlin
Andrew Gelman
Radford M. Neal
1
+ POPULATION TIME SERIES: PROCESS VARIABILITY, OBSERVATION ERRORS, MISSING VALUES, LAGS, AND HIDDEN STATES 2004 James S. Clark
Ottar N. Bjørnstad
1
+ On some properties of Markov chain Monte Carlo simulation methods based on the particle filter 2012 M. Pitt
Ralph dos Santos Silva
Paolo Giordani
Robert Kohn
1
+ Lookahead Strategies for Sequential Monte Carlo 2013 Ming Lin
Rong Chen
Jun S. Liu
1
+ On inference for partially observed nonlinear diffusion models using the Metropolis-Hastings algorithm 2001 Gareth O. Roberts
1
+ PDF Chat General Methods for Monitoring Convergence of Iterative Simulations 1998 Stephen P. Brooks
Andrew Gelman
1
+ PDF Chat Particle Filters for Partially Observed Diffusions 2008 Paul Fearnhead
Omiros Papaspiliopoulos
Gareth O. Roberts
1
+ PDF Chat On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods 2010 Anthony Lee
Christopher Yau
Michael B. Giles
Arnaud Doucet
Chris Holmes
1
+ INCORPORATING MULTIPLE SOURCES OF STOCHASTICITY INTO DYNAMIC POPULATION MODELS 2003 Catherine A. Calder
Michael Lavine
Peter MĂĽller
James S. Clark
1
+ PDF Chat Low-storage, explicit Runge–Kutta schemes for the compressible Navier–Stokes equations 2000 Christopher Kennedy
Mark H. Carpenter
Robert Michael Lewis
1
+ GPU Acceleration of Runge-Kutta Integrators 2011 Lawrence M. Murray
1
+ Auxiliary Particle filtering within adaptive Metropolis-Hastings Sampling 2010 M. Pitt
Ralph S. Silva
Paolo Giordani
Robert Kohn
1
+ PDF Chat Exact and Computationally Efficient Likelihood-Based Estimation for Discretely Observed Diffusion Processes (with Discussion) 2006 Alexandros Beskos
Omiros Papaspiliopoulos
Gareth O. Roberts
Paul Fearnhead
1
+ PDF Chat Bayesian inference for nonlinear multivariate diffusion models observed with error 2007 Andrew Golightly
Darren J. Wilkinson
1
+ Approximate Bayesian Computation and MCMC 2004 Vincent Plagnol
Simon Tavaré
1
+ PDF Chat Markov Chains for Exploring Posterior Distributions 1994 Luke Tierney
1
+ PDF Chat Bayesian learning and predictability in a stochastic nonlinear dynamical model 2012 John Parslow
Noel Cressie
Edward P. Campbell
Emlyn Jones
Lawrence M. Murray
1
+ The Calculation of Posterior Distributions by Data Augmentation 1987 Martin A. Tanner
Wing Hung Wong
1
+ Towards smooth particle filters for likelihood estimation with multivariate latent variables 2008 Anthony Lee
1
+ Fourth-order 2N-storage Runge-Kutta schemes 1994 Mark H. Carpenter
Christopher Kennedy
1
+ Addressing equifinality and uncertainty in eutrophication models 2008 George B. Arhonditsis
Gurbir Perhar
Wei Zhang
Evangelia Massos
Molu Shi
Argho Das
1