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This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The...
Editeur :
Springer
Parution :
2023-04-08
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This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which achieve state-of-the-art performances in many applications,...
Editeur :
Springer
Parution :
2023-02-16
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This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter...
Editeur :
Springer
Parution :
2023-02-02
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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development...
Editeur :
Springer
Parution :
2022-11-25
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The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions...
Editeur :
Springer
Parution :
2022-11-23
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This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses...
Editeur :
Springer
Parution :
2022-10-13
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This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of...
Editeur :
Springer
Parution :
2022-07-14
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This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that...
Editeur :
Springer
Parution :
2022-05-13
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Become more likely to succeed—gain stats mastery with Dummies Statistics: 1001 Practice Problems For Dummies gives you 1,001 opportunities to practice solving problems from all the major topics covered in Statistics classes—in the book and online! Get extra help with...
Editeur :
For Dummies
Parution :
2022-04-19
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This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of...
Editeur :
Springer
Parution :
2022-04-18
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This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data.This book collects and collates most of the available models in the field and provide their probabilistic and inferential properties.This book classifies the...
Editeur :
Springer
Parution :
2022-01-27
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This volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting...
Editeur :
Springer
Parution :
2022-01-01
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This open access book provides an introduction to uncertainty quanti?cation in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and...
Editeur :
Springer
Parution :
2021-12-09
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This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better...
Editeur :
Springer
Parution :
2021-10-04
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This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment...
Editeur :
Springer
Parution :
2021-08-30
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This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of...
Editeur :
Springer
Parution :
2021-04-01
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This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems.
Drawing on the authors’ extensive...
Editeur :
Springer
Parution :
2021-03-23
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This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way.
The book...
Editeur :
Springer
Parution :
2020-08-27
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This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly...
Editeur :
Springer
Parution :
2020-07-21
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Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair...
Editeur :
Springer
Parution :
2020-05-28
Collection :
Lecture Notes in Mathematics
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