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Upper and Lower Bounds for Stochastic Processes: Decomposition Theorems

Posted By: AvaxGenius
Date: 3 Sep 2022 17:40:31
Upper and Lower Bounds for Stochastic Processes: Decomposition Theorems

Upper and Lower Bounds for Stochastic Processes: Decomposition Theorems by Michel Talagrand
English | EPUB | 2021 | 744 Pages | ISBN : 3030825949 | 42.2 MB

This book provides an in-depth account of modern methods used to bound the supremum of stochastic processes. Starting from first principles, it takes the reader to the frontier of current research. This second edition has been completely rewritten, offering substantial improvements to the exposition and simplified proofs, as well as new results.
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An Introduction to Bayesian Inference, Methods and Computation

Posted By: AvaxGenius
Date: 17 Oct 2021 23:30:49
An Introduction to Bayesian Inference, Methods and Computation

An Introduction to Bayesian Inference, Methods and Computation by Nick Heard
English | PDF,EPUB | 2021 | 176 Pages | ISBN : 3030828077 | 38.2 MB

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.
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The Design and Analysis of Computer Experiments, Second Edition (Repost)

Posted By: AvaxGenius
Date: 25 Jul 2021 05:19:21
The Design and Analysis of Computer Experiments, Second Edition (Repost)

The Design and Analysis of Computer Experiments, Second Edition by Thomas J. Santner
English | PDF,EPUB | 2019 | 436 Pages | ISBN : 149398845X | 53.5 MB

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies.
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