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Keyword

simulation-based inference

Description: A statistical approach for drawing conclusions about unknown parameters or hypotheses using simulated data, especially when likelihood calculations are unavailable or intractable.
OpenAlex ID: keywords/simulation-based-inference
Regression Analysis of Count Data
2013 · A. Colin Cameron, Pravin K. Trivedi · Cambridge University Press eBooks · 6,625
General Methods for Monitoring Convergence of Iterative Simulations
1998 · Stephen P. Brooks, Andrew Gelman · Journal of Computational and Graphical Statistics · 6,038
Approximate Bayesian Computation in Population Genetics
2002 · Mark A Beaumont, Wenyang Zhang, et al. · Genetics · 2,911
Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
1996 · Bruce E. Hansen · Econometrica · 2,281
General Methods for Monitoring Convergence of Iterative Simulations
1998 · Stephen P. Brooks, Andrew Gelman · Journal of Computational and Graphical Statistics · 1,946
Markov Chain Monte Carlo in Practice
1997 · Mauro Gasparini, W. R. Gilks, et al. · Technometrics · 1,881
Approximate Bayesian Computation (ABC) in practice
2010 · Katalin Csilléry, Michael G.B. Blum, et al. · Trends in Ecology & Evolution · 1,299
Markov chain Monte Carlo without likelihoods
2003 · Paul Marjoram, John Molitor, et al. · Proceedings of the National Academy of Sciences · 1,198
Computer-Intensive Methods in Statistics
1983 · Persi Diaconis, Bradley Efron · Scientific American · 1,148
Regression Analysis of Count Data
1999 · John J. Peterson, A. Colin Cameron, et al. · Technometrics · 1,134
Statistical Inference and Simulation for Spatial Point Processes
2003 · Jesper Moller, Rasmus Plenge Waagepetersen · Chapman & Hall/CRC eBooks · 1,060
The frontier of simulation-based inference
2020 · Kyle Cranmer, Johann Brehmer, et al. · Proceedings of the National Academy of Sciences · 1,030
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Computer Model Calibration Using High-Dimensional Output
2008 · Dave Higdon, James Gattiker, et al. · Journal of the American Statistical Association · 870
Sequential Monte Carlo without likelihoods
2007 · S. A. Sisson, Y. Fan, et al. · Proceedings of the National Academy of Sciences · 859
Approximate Bayesian computational methods
2011 · Jean-Michel Marin, Pierre Pudlo, et al. · Statistics and Computing · 822
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abc: an R package for approximate Bayesian computation (ABC)
2012 · Katalin Csilléry, Olivier François, et al. · Methods in Ecology and Evolution · 707
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Consistent Tests for Stochastic Dominance
2003 · Garry F. Barrett, Stephen G. Donald · Econometrica · 652
Approximate Bayesian Computation
2013 · Mikael Sunnåker, Alberto Giovanni Busetto, et al. · PLoS Computational Biology · 623
Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions
1997 · MTW, Martin A. Tanner · Journal of the American Statistical Association · 608
Markov chain Monte Carlo methods for stochastic volatility models
2002 · Siddhartha Chib, Federico Nardari, et al. · Journal of Econometrics · 588
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation
2012 · Paul Fearnhead, Dennis Prangle · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 567
Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio
1995 · Isabella Verdinelli, Larry Wasserman · Journal of the American Statistical Association · 507
Bayesian inference for compact binary coalescences with bilby : validation and application to the first LIGO–Virgo gravitational-wave transient catalogue
2020 · I M Romero-Shaw, C Talbot, et al. · Monthly Notices of the Royal Astronomical Society · 483
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ABC as a flexible framework to estimate demography over space and time: some cons, many pros
2010 · G. BERTORELLE, A. BENAZZO, et al. · Molecular Ecology · 465
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Using simulation to interpret results from logit, probit, and other nonlinear models
2009 · Bennet A. Zelner · Strategic Management Journal · 460
Works count: 3,461
Citation count: 70,480
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