Bayesian – alle Bücher, CDs und DVDs

N Thompson Hobbs, Mevin B Hooten

Bayesian Models

"A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become …

Bayesian Network Modeling of Corrosion

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability dis…

Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama

Variational Bayesian Learning Theory

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the no…

Westland J Christopher

Bayesian A/B Decision Models

Bayesian A/B Decision Models encapsulates J Christopher Westland's deep expertise in algorithmic decision-making, honed through years of experience in specialized fields like auditing and serving as an ex…

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Multiple Information Source Bayesian Optimization

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process" methodology. Th…

Jeff Gill, Le Bao

Bayesian Social Science Statistics: Volume 2

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

Paul Fearnhead, Christopher Nemeth, Chris J. Oates

Scalable Monte Carlo for Bayesian Learning

An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-…

Jeff Gill, Le Bao

Bayesian Social Science Statistics: Volume 2

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

Rose T. Faghih, Dilranjan S. Wickramasuriya

Bayesian Filter Design for Computational Medicine

This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need …

Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala

Bayesian Machine Learning in Quantitative Finance

1 Introduction To Bayesian Machine Learning In Quantitative Finance.- 2 Background To Bayesian Machine Learning In Quantitative Finance.- 3 On the Stochastic Alpha Beta Rho Model and Hamiltonian Monte Car…

Recent Developments in Bayesian Econometrics and Their Applications

Forecasting with Bayesian Vector Autoregressions Revisited.- Large Bayesian Tensor VARs with Stochastic Volatility.- Measuring Sub-Regional Economic Activity: Missing Frequencies and Missing Data.- VAR Mo…

Hans Söllner

Bayerman Vibration

Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori

Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis

This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and method…

Tom Chivers

Everything Is Predictable

A "fascinating, witty, and perspective-shifting" (Oliver Burkeman, New York Times bestselling author) tour of Bayes's theorem and its global impact on modern life from the acclaimed science writ…

Eduardo Souza De Cursi

Uncertainty Quantification with R

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R. This volume includes mathematical arguments at the level necessary to m…

Jacques Balayla

Theorems on the Prevalence Threshold and the Geometry of Screening Curves

In Theorems on the Prevalence Threshold and the Geometry of Screening Curves, the author explores the mathematical underpinnings of screening and diagnostic testing, offering a unique and novel perspectiv…

Tom Chivers

Everything Is Predictable

A fascinating intellectual history that takes a comparatively little-known but important idea and shows how it affects huge areas of our lives

F Gregory Ashby

Statistical Decision Theory in Perception and Cognition

A comprehensive survey of the dominant methods for separating perceptual from decisional effects and for studying perceptual interactions.Human performance in any perceptual or cognitive task can change f…

A Baysan

Minimally Invasive Dentistry: Interdisciplinary Cl inical and Scientific Approaches

A helpful introduction to the Minimally Invasive Dentistry concept for patient care in the treatment of dental diseaseMinimally Invasive Dentistry provides a practical introduction to holistic patient car…