chapter

Introduction to Monte Carlo methods

Author:

D. J. C. MacKayAuthors Info & Claims

Learning in graphical models

February 1999

Pages 175 - 204

Published: 01 February 1999 Publication History

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Narayanan PShan C(2020)Symbolic Disintegration with a Variety of Base MeasuresACM Transactions on Programming Languages and Systems10.1145/337420842:2(1-60)Online publication date: 19-May-2020
https://dl.acm.org/doi/10.1145/3374208
Walia RNarayanan PCarette JTobin-Hochstadt SShan C(2019)From high-level inference algorithms to efficient codeProceedings of the ACM on Programming Languages10.1145/33417023:ICFP(1-30)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1145/3341702
Boluki SEsfahani MQian XDougherty E(2019)Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and ClassificationIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2017.277871516:2(524-537)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1109/TCBB.2017.2778715
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Published In

Learning in graphical models

February 1999

634 pages

ISBN:0262600323

Editor:
Michael I. Jordan

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MIT Press

Cambridge, MA, United States

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Published: 01 February 1999

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Narayanan PShan C(2020)Symbolic Disintegration with a Variety of Base MeasuresACM Transactions on Programming Languages and Systems10.1145/337420842:2(1-60)Online publication date: 19-May-2020
https://dl.acm.org/doi/10.1145/3374208
Walia RNarayanan PCarette JTobin-Hochstadt SShan C(2019)From high-level inference algorithms to efficient codeProceedings of the ACM on Programming Languages10.1145/33417023:ICFP(1-30)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1145/3341702
Boluki SEsfahani MQian XDougherty E(2019)Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and ClassificationIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2017.277871516:2(524-537)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1109/TCBB.2017.2778715
Shan CRamsey N(2017)Exact Bayesian inference by symbolic disintegrationACM SIGPLAN Notices10.1145/3093333.300985252:1(130-144)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1145/3093333.3009852
Shan CRamsey NCastagna GGordon A(2017)Exact Bayesian inference by symbolic disintegrationProceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages10.1145/3009837.3009852(130-144)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1145/3009837.3009852
Mohammed Ismail WShan C(2016)Deriving a probability density calculator (functional pearl)ACM SIGPLAN Notices10.1145/3022670.295192251:9(47-59)Online publication date: 4-Sep-2016
https://dl.acm.org/doi/10.1145/3022670.2951922
Mohammed Ismail WShan CGarrigue JKeller GSumii E(2016)Deriving a probability density calculator (functional pearl)Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming10.1145/2951913.2951922(47-59)Online publication date: 4-Sep-2016
https://dl.acm.org/doi/10.1145/2951913.2951922
Cuomo SDe Michele PDi Somma VGalletti A(2016)A Stochastic Method for Financial IoT DataProcedia Computer Science10.1016/j.procs.2016.09.08298:C(491-496)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.09.082
Hofmann KWhiteson SRijke M(2013)Fidelity, Soundness, and Efficiency of Interleaved Comparison MethodsACM Transactions on Information Systems10.1145/2536736.253673731:4(1-43)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1145/2536736.2536737
Khelghati MHiemstra Dvan Keulen MPardede E(2012)Size estimation of non-cooperative data collectionsProceedings of the 14th International Conference on Information Integration and Web-based Applications & Services10.1145/2428736.2428774(239-246)Online publication date: 3-Dec-2012
https://dl.acm.org/doi/10.1145/2428736.2428774
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