Jochen Voss
Jochen Voss
Lecturer in Statistics, University of Leeds
Verified email at - Homepage
Cited by
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Interpreting the parameters of the diffusion model: An empirical validation
A Voss, K Rothermund, J Voss
Memory & cognition 32 (7), 1206-1220, 2004
Fast-dm: A free program for efficient diffusion model analysis
A Voss, J Voss
Behavior Research Methods 39 (4), 767-775, 2007
MCMC methods for diffusion bridges
A Beskos, G Roberts, A Stuart, J Voss
Stochastics and Dynamics 8 (3), 319-350, 2008
A fast numerical algorithm for the estimation of diffusion model parameters
A Voss, J Voss
Journal of Mathematical Psychology 52 (1), 1-9, 2008
Sampling the posterior: An approach to non-Gaussian data assimilation
A Apte, M Hairer, AM Stuart, J Voss
Physica D: Nonlinear Phenomena 230 (1-2), 50-64, 2007
Assessing cognitive processes with diffusion model analyses: A tutorial based on fast-dm-30
A Voss, J Voss, V Lerche
Frontiers in psychology 6, 336, 2015
Analysis of SPDEs arising in path sampling part II: The nonlinear case
M Hairer, AM Stuart, J Voss
The Annals of Applied Probability 17 (5-6), 1657-1706, 2007
MAP estimators and their consistency in Bayesian nonparametric inverse problems
M Dashti, KJH Law, AM Stuart, J Voss
Inverse Problems 29 (9), 095017, 2013
Conditional path sampling of SDEs and the Langevin MCMC method
AM Stuart, J Voss, P Wilberg
Communications in Mathematical Sciences 2 (4), 685-697, 2004
Challenges in quantifying Pliocene terrestrial warming revealed by data–model discord
U Salzmann, AM Dolan, AM Haywood, WL Chan, J Voss, DJ Hill, ...
Nature Climate Change 3 (11), 969-974, 2013
Data assimilation: Mathematical and statistical perspectives
A Apte, CKRT Jones, AM Stuart, J Voss
International journal for numerical methods in fluids 56 (8), 1033-1046, 2008
Analysis of SPDEs arising in path sampling. Part I: The Gaussian case
M Hairer, AM Stuart, J Voss, P Wiberg
Communications in Mathematical Sciences 3 (4), 587-603, 2005
The rate of convergence for approximate Bayesian computation
S Barber, J Voss, M Webster
Electronic Journal of Statistics 9 (1), 80-105, 2015
Approximations to the Stochastic Burgers equation
M Hairer, J Voss
Journal of NonLinear Science 12 (6), 897-920, 2011
An introduction to statistical computing: a simulation-based approach
J Voss
John Wiley & Sons, 2013
Signal processing problems on function space: Bayesian formulation, stochastic PDEs and effective MCMC methods
M Hairer, A Stuart, J Voss
Handbook of Nonlinear Filtering, 833-873, 2011
Separating response‐execution bias from decision bias: Arguments for an additional parameter in Ratcliff's diffusion model
A Voss, J Voss, KC Klauer
British journal of mathematical and statistical psychology 63 (3), 539-555, 2010
Monte Carlo methods
J Ross, A Marshak
Photon-Vegetation Interactions, 441-467, 1991
Sampling conditioned diffusions
M Hairer, AM Stuart, J Voss
Trends in Stochastic Analysis 353, 159-186, 2009
Some fundamental properties of a multivariate von Mises distribution
KV Mardia, J Voss
Communications in Statistics-Theory and Methods 43 (6), 1132-1144, 2014
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