Interpreting the parameters of the diffusion model: An empirical validation A Voss, K Rothermund, J Voss Memory & cognition 32, 1206-1220, 2004 | 690 | 2004 |
Fast-dm: A free program for efficient diffusion model analysis A Voss, J Voss Behavior research methods 39 (4), 767-775, 2007 | 462 | 2007 |
MCMC methods for diffusion bridges A Beskos, G Roberts, A Stuart, J Voss Stochastics and Dynamics 8 (3), 319-350, 2008 | 262 | 2008 |
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 | 242 | 2015 |
A fast numerical algorithm for the estimation of diffusion model parameters A Voss, J Voss Journal of Mathematical Psychology 52 (1), 1-9, 2008 | 213 | 2008 |
MAP estimators and their consistency in Bayesian nonparametric inverse problems M Dashti, KJH Law, AM Stuart, J Voss Inverse Problems 29 (9), 095017, 2013 | 195 | 2013 |
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 | 170* | 2013 |
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 | 157 | 2007 |
Analysis of SPDEs arising in path sampling part II: The nonlinear case M Hairer, AM Stuart, J Voss | 138 | 2007 |
Conditional path sampling of SDEs and the Langevin MCMC method AM Stuart, J Voss, P Wilberg | 130 | 2004 |
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 | 101 | 2008 |
Analysis of SPDEs arising in path sampling. Part I: The Gaussian case M Hairer, AM Stuart, J Voss, P Wiberg | 101 | 2005 |
The rate of convergence for approximate Bayesian computation S Barber, J Voss, M Webster | 97 | 2015 |
What can Palaeoclimate Modelling do for you? AM Haywood, PJ Valdes, T Aze, N Barlow, A Burke, AM Dolan, ... Earth Systems and Environment 3, 1-18, 2019 | 77 | 2019 |
An introduction to statistical computing: a simulation-based approach J Voss John Wiley & Sons, 2013 | 77 | 2013 |
Approximations to the Stochastic Burgers equation M Hairer, J Voss Journal of NonLinear Science 12 (6), 897-920, 2011 | 72 | 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 | 56 | 2010 |
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 | 49 | 2011 |
Sequential sampling models with variable boundaries and non-normal noise: A comparison of six models A Voss, V Lerche, U Mertens, J Voss Psychonomic bulletin & review 26, 813-832, 2019 | 47 | 2019 |
Some fundamental properties of a multivariate von Mises distribution KV Mardia, J Voss Communications in Statistics-Theory and Methods 43 (6), 1132-1144, 2014 | 45 | 2014 |