Bayesian – alle Bücher und CDs

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 …

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Marcel van Oijen
Bayesian Compendium

This book describes how Bayesian methods work. Aiming to demystify the approach, it explains how to parameterize and compare models while accounting for uncertainties in data, model parameters and model s…

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Emir Kamenica Matthew Gentzkow
Bayesian Persuasion

This volume brings together the collected contributions of Matthew Gentzkow, Emir Kamenica, and several coauthors on the theme of Bayesian Persuasion.The collection starts with an introduction that positi…

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Nonparametric Bayesian Inference

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. …

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Ismaël Castillo
Bayesian Nonparametric Statistics

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. …

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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…

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Michael Rescorla
Bayesian Models of the Mind

Bayesian decision theory is a mathematical framework used by cognitive scientists to model reasoning and decision-making under uncertain conditions. It has been used to describe the human mind, revealing …

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Michael Rescorla
Bayesian Models of the Mind

Bayesian decision theory is a mathematical framework used by cognitive scientists to model reasoning and decision-making under uncertain conditions. It has been used to describe the human mind, revealing …

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J Christopher Westland
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…

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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-…

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Qing Zhao
Bayesian Analysis of Spatially Structured Population Dynamics

The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to intr…

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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…

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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 …

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Bayesian Statistics, New Generations New Approaches

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montréal, Canada, held on June 22-23, titled "Bayesian Statistics, New Generations New Approaches". …

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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…

Erscheint bald

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Wilson Tsakane Mongwe, Tshilidzi Marwala, Rendani Mbuvha
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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Statistical Modeling Using Bayesian Latent Gaussian Models

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models. The structure of these models is described in a thorough introductory chapter, wh…

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Henning Omre, Ole Bernhard Forberg, Torstein M. Fjeldstad
Bayesian Spatial Modelling with Conjugate Prior Models

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications. These spatial variables fall into three categories:…

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