"Approximate Bayesian inference for simulation and optimization"

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Book	Author(s)	Year	Publisher
Markov chain Monte Carlo: stochastic simulation for Bayesian inference.	Gamerman, Dani.; Lopes, Hedibert Freitas.	2006.	Taylor & Francis,
Bayesian Inference	William A. Link and Richard J. Barker	2010	Academic Press
Bayesian inference	Nicholas G. Polson	1995	E. Elgar Pub. Co.
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition	Dani Gamerman; Hedibert F. Lopes	2006	Routledge
Bayesian Inference for Stochastic Processes	Lyle D. Broemeling	2017	Routledge
Bayesian Statistical Inference	Gudmund R. Iversen	November 1984	SAGE Publications, Inc
Bayesian statistical inference	Gudmund R. Iversen	1984	Sage Publications
Bayesian Parametric Inference	Ashok K. Bansal	July 5, 2007	Alpha Science Intl Ltd
Bayesian Optimization	Roman Garnett	2021	https://bayesoptbook.com
Bayesian Inference for Gene Expression and Proteomics	Kim-Anh Do; Peter Müller; Marina Vannucci	2006-07	Cambridge University Press
Bayesian inference for probabilistic risk assessment	Kelly D., Smith C	2011	Springer
Handbook of Approximate Bayesian Computation	Scott A. Sisson; Yanan Fan; Mark Beaumont	2018	Routledge
Bayesian Optimization for Materials Science	Daniel Packwood	1st ed. 2017	Springer Nature Singapore
Perception as Bayesian Inference	David C. Knill; Whitman Richards	1996-09	Cambridge University Press
Bayesian Inference with INLA	Virgilio Gomez-Rubio	2020	Routledge
Optimization Methods for Logical Inference	Vijay Chandru	1999	John Wiley & Sons
Optimization methods for logical inference /	Chandru, Vijay,; Hoover, John P.,	[1999], ©1999.	Wiley,
Bayesian inference for matched case-control studies	Samiran Sinha	2004
Bayesian Inference: Parameter Estimation and Decisions	Hanns L. Harney	2003	Springer Berlin Heidelberg
Bayesian Inference: Data Evaluation and Decisions	Hanns Ludwig Harney	2nd ed. 2016	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Approximate Bayesian inference for simulation and optimization	Ilya O. Ryzhov	Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions	Boris Defourny; Tamás Terlaky	1st ed. 2015	Springer International Publishing
Methods for approximate Bayesian inference		Bayesian Optimization	Roman Garnett	2021	https://bayesoptbook.com
Approximate Bayesian inference for simple mixtures	K. Humphreys; D. M. Titterington	COMPSTAT: Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000	Jelke G. Bethlehem; Peter G.M. van der Heijden	2000	Physica-Verlag HD
134 Approximate Inference for Bayesian Networks		Artificial Intelligence: A Modern Approach	Stuart Russell; Peter Norvig	2019	Pearson Higher Education
134 Approximate Inference for Bayesian Networks		Artificial Intelligence: A Modern Approach, Global Edition	Stuart J. Russell, Peter Norvig	2021	Pearson
Bayesian Learning: Approximate Inference and Nonparametric Models	Sergios Theodoridis	Machine Learning (Second Edition)	Sergios Theodoridis	2020	Academic Press
145 Approximate Inference in Bayesian Networks		Artificial Intelligence: A Modern Approach	Stuart Russell, Peter Norvig	2003	Prentice Hall
145 Approximate Inference in Bayesian Networks		Artificial Intelligence: A Modern Approach, 3rd Edition	Stuart J. Russell, Peter Norvig	2016	Pearson Education
Bayesian Inference and Monte Carlo Simulation	Song S. Qian; Mark R. DuFour; Ibrahim Alameddine	Bayesian Applications in Environmental and Ecological Studies with R and Stan	Song S. Qian; Mark R. DuFour; Ibrahim Alameddine	2022	Routledge
Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems	Rajdip Nayek; Mohamed Anis Ben Abdessalem; Nikolaos Dervilis; Elizabeth J. Cross; Keith Worden	Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022	Matthew R.W. Brake; Ludovic Renson; Robert J. Kuether; Paolo Tiso	1st ed. 2023	Springer International Publishing
Approximate Bayesian Computation by Subset Simulation for Parameter Inference of Dynamical Models	Majid K. Vakilzadeh; Yong Huang; James L. Beck; Thomas Abrahamsson	Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016	Sez Atamturktur; Tyler Schoenherr; Babak Moaveni; Costas Papadimitriou	1st ed. 2016	Springer International Publishing
14-5: Approximate inference in Bayesian networks		Artificial intelligence: a modern approach	Davis, Ernest; Norvig, Peter; Russell, Stuart Jonathan	2011	Addison Wesley
Approximate inference		Deep learning: adaptive computation and machine learning	Bengio, Yoshua; Courville, Aaron; Goodfellow, Ian J	2016	The MIT Press
Approximate inference		Deep learning /	Goodfellow, Ian,; Bengio, Yoshua,; Courville, Aaron,		MIT Press
Multi-objective Bayesian Optimization for Engineering Simulation	Joachim van der Herten; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene	High-Performance Simulation-Based Optimization	Thomas Bartz-Beielstein; Bogdan Filipič; Peter Korošec; El-Ghazali Talbi	1st ed. 2020	Springer International Publishing
IV Bayesian inference Bayesian inference and MCMC		Stochastic modelling for systems biology	Wilkinson, Darren James	2012	CRC Press/Taylor & Francis Group
166 Inference and Approximate Inference		Deep Learning: Adaptive Computation and Machine Learning	Ian Goodfellow and Yoshua Bengio and Aaron Courville	2016	The MIT Press
Bayesian belief network inference using simulation	H.L. Chin; G.F. Cooper	Uncertainty in artificial intelligence 3	Laveen N. Kanal; Tod S. Levitt	1989	North-Holland
Bayesian Inference	Charles A. Rohde	Introductory Statistical Inference with the Likelihood Function	Charles A. Rohde	2014	Springer International Publishing
Bayesian Inference	Denni D Boos; L A Stefanski	Essential Statistical Inference: Theory and Methods	Dennis D. Boos; L A Stefanski	2013	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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