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John Parslow
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All published works
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Title
Year
Authors
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Appendix C. Some technical details on the particle Markov chain Monte Carlo (PMCMC) sampling approach used to conduct statistical inference.
2016
John Parslow
Noel Cressie
Edward P. Campbell
Emlyn Jones
Lawrence M. Murray
+
PDF
Chat
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler
2013
Lawrence M. Murray
Emlyn Jones
John Parslow
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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
Common Coauthors
Coauthor
Papers Together
Lawrence M. Murray
3
Emlyn Jones
3
Noel Cressie
2
Edward P. Campbell
2
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
Chat
Particle Markov Chain Monte Carlo Methods
2010
Christophe Andrieu
Arnaud Doucet
Roman Holenstein
2
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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
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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
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POPULATION TIME SERIES: PROCESS VARIABILITY, OBSERVATION ERRORS, MISSING VALUES, LAGS, AND HIDDEN STATES
2004
James S. Clark
Ottar N. Bjørnstad
1
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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
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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
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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
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GPU Acceleration of Runge-Kutta Integrators
2011
Lawrence M. Murray
1
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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
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Towards smooth particle filters for likelihood estimation with multivariate latent variables
2008
Anthony Lee
1
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Fourth-order 2N-storage Runge-Kutta schemes
1994
Mark H. Carpenter
Christopher Kennedy
1
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Addressing equifinality and uncertainty in eutrophication models
2008
George B. Arhonditsis
Gurbir Perhar
Wei Zhang
Evangelia Massos
Molu Shi
Argho Das
1