Omiros Papaspiliopoulos
Omiros Papaspiliopoulos
ICREA Research Professor at Department of Economics, Universitat Pompeu Fabra
Verified email at upf.edu - Homepage
Title
Cited by
Cited by
Year
Exact and computationally efficient likelihood‐based estimation for discretely observed diffusion processes (with discussion)
A Beskos, O Papaspiliopoulos, GO Roberts, P Fearnhead
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006
4252006
Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
O Papaspiliopoulos, GO Roberts
Biometrika 95 (1), 169-186, 2008
3982008
SMC2: an efficient algorithm for sequential analysis of state space models
N Chopin, PE Jacob, O Papaspiliopoulos
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
373*2013
A general framework for the parametrization of hierarchical models
O Papaspiliopoulos, GO Roberts, M Sköld
Statistical Science, 59-73, 2007
2542007
Retrospective exact simulation of diffusion sample paths with applications
A Beskos, O Papaspiliopoulos, GO Roberts
Bernoulli 12 (6), 1077-1098, 2006
2452006
Non-centered parameterisations for hierarchical models and data augmentation
O Papaspiliopoulos, GO Roberts, M Sköld
Bayesian statistics 7, 307-326, 2003
1962003
Bayesian inference for non‐Gaussian Ornstein–Uhlenbeck stochastic volatility processes
GO Roberts, O Papaspiliopoulos, P Dellaportas
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2004
1592004
Particle filters for partially observed diffusions
P Fearnhead, O Papaspiliopoulos, GO Roberts
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008
1572008
Bayesian non‐parametric hidden Markov models with applications in genomics
C Yau, O Papaspiliopoulos, GO Roberts, C Holmes
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011
1302011
A factorisation of diffusion measure and finite sample path constructions
A Beskos, O Papaspiliopoulos, GO Roberts
Methodology and Computing in Applied Probability 10 (1), 85-104, 2008
1102008
Importance sampling: computational complexity and intrinsic dimension
S Agapiou, O Papaspiliopoulos, D Sanz-Alonso, AM Stuart
Stat. Sci 32 (3), 405-431, 2017
97*2017
Monte Carlo maximum likelihood estimation for discretely observed diffusion processes
A Beskos, O Papaspiliopoulos, G Roberts
The Annals of Statistics 37 (1), 223-245, 2009
892009
Nonparametric estimation of diffusions: a differential equations approach
O Papaspiliopoulos, Y Pokern, GO Roberts, AM Stuart
Biometrika 99 (3), 511-531, 2012
662012
A note on posterior sampling from Dirichlet mixture models
O Papaspiliopoulos
manuscript, Department of Economics, Universitat Pompeu Fabra, 2008
652008
Stability of the Gibbs sampler for Bayesian hierarchical models
O Papaspiliopoulos, G Roberts
The Annals of Statistics, 95-117, 2008
542008
Importance sampling techniques for estimation of diffusion models
O Papaspiliopoulos, G Roberts
Statistical methods for stochastic differential equations 124, 311-340, 2012
532012
Random‐weight particle filtering of continuous time processes
P Fearnhead, O Papaspiliopoulos, GO Roberts, A Stuart
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010
532010
Analysis of the Gibbs sampler for hierarchical inverse problems
S Agapiou, JM Bardsley, O Papaspiliopoulos, AM Stuart
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 511-544, 2014
482014
Online multi-task learning with hard constraints
G Lugosi, O Papaspiliopoulos, G Stoltz
arXiv preprint arXiv:0902.3526, 2009
472009
Simulating events of unknown probabilities via reverse time martingales
K Łatuszyński, I Kosmidis, O Papaspiliopoulos, GO Roberts
Random Structures & Algorithms 38 (4), 441-452, 2011
352011
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