Approximate Bayesian Computational methods

5 January 2011

Papers citing "Approximate Bayesian Computational methods"

50 / 254 papers shown

Title
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 22 118 0 17 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 11 99 0 28 Feb 2017
Multilevel rejection sampling for approximate Bayesian computation D. Warne R. Baker Matthew J. Simpson 6 28 0 10 Feb 2017
Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning Kirthevasan Kandasamy J. Schneider Barnabás Póczós 9 29 0 03 Feb 2017
Modelling Preference Data with the Wallenius Distribution Clara Grazian Fabrizio Leisen B. Liseo 16 2 0 27 Jan 2017
Bayesian Inference in the Presence of Intractable Normalizing Functions Jaewoo Park M. Haran TPM 23 70 0 23 Jan 2017
On parameter estimation with the Wasserstein distance Espen Bernton H. Shakespeare Mathieu Gerber Christian P. Robert 15 77 0 18 Jan 2017
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 28 145 0 30 Nov 2016
A rare event approach to high dimensional Approximate Bayesian computation D. Prangle R. Everitt T. Kypraios 13 22 0 08 Nov 2016
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA) A. Hubin G. Storvik 13 20 0 04 Nov 2016
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 29 41 0 20 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 12 412 0 11 Oct 2016
Likelihood-free stochastic approximation EM for inference in complex models Umberto Picchini TPM 11 5 0 12 Sep 2016
Bayesian nonparametric forecasting of monotonic functional time series A. Canale M. Ruggiero AI4TS 23 23 0 29 Aug 2016
Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes M. Vakilzadeh J. Beck T. Abrahamsson 13 13 0 04 Aug 2016
Bayesian inference for stochastic differential equation mixed effects models of a tumor xenography study Umberto Picchini J. Forman 24 22 0 09 Jul 2016
Applications of Probabilistic Programming (Master's thesis, 2015) Yura N. Perov 16 4 0 31 May 2016
Asymptotically exact inference in differentiable generative models Matthew M. Graham Amos J. Storkey BDL 8 33 0 25 May 2016
ABC random forests for Bayesian parameter inference Louis Raynal Jean-Michel Marin Pierre Pudlo M. Ribatet Christian P. Robert A. Estoup 24 187 0 18 May 2016
An ABC interpretation of the multiple auxiliary variable method D. Prangle R. Everitt 12 0 0 27 Apr 2016
Approximate Bayesian Computation and Model Validation for Repulsive Spatial Point Processes Shinichiro Shirota A. Gelfand 20 14 0 24 Apr 2016
Mode jumping MCMC for Bayesian variable selection in GLMM A. Hubin G. Storvik 9 28 0 21 Apr 2016
Some comments about James Watson's and Chris Holmes' "Approximate Models and Robust Decisions": Nonparametric Bayesian clay for robust decision bricks Christian P. Robert Judith Rousseau AAML 13 1 0 30 Mar 2016
An introduction to sampling via measure transport Youssef Marzouk Tarek A. El-Moselhy M. Parno Alessio Spantini OT 22 88 0 16 Feb 2016
Hidden Gibbs random fields model selection using Block Likelihood Information Criterion Julien Stoehr Jean-Michel Marin Pierre Pudlo 13 3 0 08 Feb 2016
Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models Umberto Picchini Adeline M. M. Samson 9 17 0 15 Dec 2015
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables J. Dahlin Fredrik Lindsten J. Kronander Thomas B. Schon 19 37 0 17 Nov 2015
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models J. Dahlin Thomas B. Schon 10 25 0 05 Nov 2015
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network Bai Jiang Tung-Yu Wu Charles Yang Zheng W. Wong BDL 18 137 0 08 Oct 2015
A Simulated Annealing Approach to Bayesian Inference Carlo Albert 10 3 0 17 Sep 2015
Boosting Bayesian Parameter Inference of Nonlinear Stochastic Differential Equation Models by Hamiltonian Scale Separation Carlo Albert S. Ulzega R. Stoop 12 11 0 17 Sep 2015
On the contraction properties of some high-dimensional quasi-posterior distributions Yves F. Atchadé 7 39 0 31 Aug 2015
Optimal approximating Markov chains for Bayesian inference J. Johndrow Jonathan C. Mattingly Sayan Mukherjee David B. Dunson 17 31 0 13 Aug 2015
ABC Shadow algorithm: a tool for statistical analysis of spatial patterns R. Stoica A. Philippe P. Gregori J. Mateu 21 13 0 15 Jul 2015
Adapting the ABC distance function D. Prangle 24 94 0 03 Jul 2015
Spectral likelihood expansions for Bayesian inference J. Nagel Bruno Sudret 14 40 0 24 Jun 2015
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods J. Dahlin M. Villani Thomas B. Schon 16 6 0 23 Jun 2015
Three discussions of the paper "sequential quasi-Monte Carlo sampling", by M. Gerber and N. Chopin Mathieu Gerber Igor Prunster N. Chopin Robin J. Ryder 18 68 0 24 May 2015
Approximate maximum likelihood estimation using data-cloning ABC Umberto Picchini Rachele Anderson 12 13 0 23 May 2015
Sequential Bayesian inference for implicit hidden Markov models and current limitations Pierre E. Jacob 17 14 0 16 May 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model M. Moores Geoff K. Nicholls A. Pettitt Kerrie Mengersen TPM 22 22 0 27 Mar 2015
Perturbation theory for Markov chains via Wasserstein distance Daniel Rudolf Nikolaus Schweizer 26 107 0 13 Mar 2015
Approximate Bayesian inference in semiparametric copula models Clara Grazian B. Liseo 21 21 0 10 Mar 2015
Hamiltonian ABC Edward Meeds R. Leenders Max Welling BDL 35 30 0 06 Mar 2015
Quasi-Newton particle Metropolis-Hastings J. Dahlin Fredrik Lindsten Thomas B. Schon 19 9 0 12 Feb 2015
Some comments about A. Ronald Gallant's "Reflections on the Probability Space Induced by Moment Conditions with Implications for Bayesian Inference" Christian P. Robert 30 1 0 05 Feb 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 43 21 0 04 Feb 2015
Lazier ABC D. Prangle 21 2 0 21 Jan 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 32 286 0 14 Jan 2015
Gibbs posterior inference on the minimum clinically important difference Nicholas Syring Ryan Martin 19 17 0 08 Jan 2015