(Izdošanas datums: 29-Nov-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040217214)
Several important topics in spatial and spatio-temporal statistics developed in the last 15 years have not received enough attention in textbooks. Modeling Spatio-Temporal Data: Markov Random Fields, Objectives Bayes, and Multiscale Models aims to fi...Lasīt vairāk
(Izdošanas datums: 29-Nov-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040217245)
Several important topics in spatial and spatio-temporal statistics developed in the last 15 years have not received enough attention in textbooks. Modeling Spatio-Temporal Data: Markov Random Fields, Objectives Bayes, and Multiscale Models aims to fi...Lasīt vairāk
Sērija : Challenges in Geotechnical and Rock Engineering
(Izdošanas datums: 07-Aug-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040097779)
Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.Two types of...Lasīt vairāk
Sērija : Challenges in Geotechnical and Rock Engineering
(Izdošanas datums: 07-Aug-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040097823)
Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.Two types of...Lasīt vairāk
(Izdošanas datums: 04-Jul-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040009482)
Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master...Lasīt vairāk
(Izdošanas datums: 04-Jul-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781040009437)
Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master...Lasīt vairāk
Sērija : Chapman & Hall/CRC Artificial Intelligence and Robotics Series
(Izdošanas datums: 28-May-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003821984)
An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in Universal Algorithmic Intelligence (Hutter, 2000), UAI offers a fra...Lasīt vairāk
Sērija : Chapman & Hall/CRC Artificial Intelligence and Robotics Series
(Izdošanas datums: 28-May-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003821977)
An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in Universal Algorithmic Intelligence (Hutter, 2000), UAI offers a fra...Lasīt vairāk
(Izdošanas datums: 06-Mar-2024, PDF+DRM, Izdevniecība: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811284915)
Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually ev...Lasīt vairāk
(Izdošanas datums: 06-Mar-2024, EPUB+DRM, Izdevniecība: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811284915)
Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually ev...Lasīt vairāk
James Berger, Xiao-Li Meng, Nancy Reid, Min-ge Xie
Sērija : Chapman & Hall/CRC Handbooks of Modern Statistical Methods
(Izdošanas datums: 26-Feb-2024, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003837695)
The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is...Lasīt vairāk
James Berger, Xiao-Li Meng, Nancy Reid, Min-ge Xie
Sērija : Chapman & Hall/CRC Handbooks of Modern Statistical Methods
(Izdošanas datums: 26-Feb-2024, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781003837640)
The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is...Lasīt vairāk
Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike...Lasīt vairāk
Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike...Lasīt vairāk
The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayes...Lasīt vairāk
Sērija : Chapman & Hall/CRC Monographs on Statistics and Applied Probability
(Izdošanas datums: 23-Aug-2023, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000927733)
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inferenc...Lasīt vairāk
Sērija : Chapman & Hall/CRC Monographs on Statistics and Applied Probability
(Izdošanas datums: 23-Aug-2023, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000927719)
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inferenc...Lasīt vairāk
This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generall...Lasīt vairāk
This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generall...Lasīt vairāk
This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the rea...Lasīt vairāk
This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the rea...Lasīt vairāk
(Izdošanas datums: 18-May-2023, EPUB+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000869835)
This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the anal...Lasīt vairāk
(Izdošanas datums: 18-May-2023, PDF+DRM, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9781000869781)
This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated measures data, the focus is placed on active learning through the anal...Lasīt vairāk
This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range of novel statistical designs for various clinical settings, including early phase dose-escalation stud...Lasīt vairāk
This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range of novel statistical designs for various clinical settings, including early phase dose-escalation stud...Lasīt vairāk
This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine l...Lasīt vairāk
This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine l...Lasīt vairāk
This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification...Lasīt vairāk
This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification...Lasīt vairāk
