An Introduction to Bayesian Inference, Methods and Computation

Posted By: AvaxGenius

Date: 17 Oct 2021 23:30:49

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.

Python Science python Bayesian Nonparametrics Bayesian statistics statistics Bayes linear regression Gaussian processes PyStan Monte Carlo Bayesian Inference Mathematics

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Machine Learning and Knowledge Discovery in Databases. Research Track

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Date: 17 Oct 2021 19:55:58

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.

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Applied General Statistics

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Date: 11 Sep 2021 20:28:37

Frederick Emory Croxton, Sidney Klein, Dudley Johnstone Cowden, "Applied General Statistics"
English | 1967 | ASIN: N/A | 781 pages | PDF | 41 MB

statistics mathematics Science math

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

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Date: 11 Sep 2021 17:56:51

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part V by Yuxiao Dong
English | PDF | 2021 | 541 Pages | ISBN : 3030865169 | 47.8 MB

applied computing computer graphics artificial intelligence communication systems data mining computer systems computer networks probability statistics image processing multivariate statisctics reasoning Knowledge Discovery Machine Learning

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

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Date: 11 Sep 2021 17:52:10

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV by Yuxiao Dong
English | PDF | 2021 | 579 Pages | ISBN : 3030865134 | 38.3 MB

applied computing computer graphics artificial intelligence communication systems data mining computer systems Knowledge Discovery reasoning multivariate statisctics image processing statistics probability computer networks Machine Learning

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Machine Learning and Knowledge Discovery in Databases. Research Track

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Date: 11 Sep 2021 17:46:54

Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I by Nuria Oliver
English | PDF | 2021 | 838 Pages | ISBN : 3030864855 | 50.3 MB

applied computing artificial intelligence computer graphics communication systems data mining computer systems computer networks probability statistics image processing multivariate statisctics reasoning Knowledge Discovery Machine Learning

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Fundamentals of Mathematical Statistics

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Date: 9 Sep 2021 14:55:06

S C Gupta, V K Kapoor, Fundamentals of Mathematical Statistics"
English | 2002 | ISBN: 8180545288 | 1303 pages | PDF | 50.5 MB

mathematics Science math statistics

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The Black Swan: The Impact of the Highly Improbable

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Date: 6 Sep 2021 15:01:11

philosophy Science statistics probability mathematics

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Visual Revelations: Graphical Tales of Fate and Deception From Napoleon Bonaparte To Ross Perot

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Date: 6 Sep 2021 10:17:59

statistics psychology Science mathematics

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Set-Valued Analysis

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Date: 31 Aug 2021 08:38:05

Set-Valued Analysis by Anca Croitoru
English | PDF | 2021 | 178 Pages | ISBN : N/A | 3.1 MB

Set-valued analysis is an important and somehow strange field, with unexpected applications in economics, game theory, decision making, nonlinear programming, biomathematics and statistics. This book highlights some interesting subjects in set-valued analysis, both theoretical and practical. These topics cover various areas, such as set-valued measures and integrals, applications to differential inclusions and decision making, and related topics in measure theory.