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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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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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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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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…

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Quantitative Psychology

The volume represents presentations given at the 87th annual meeting of the Psychometric Society, held in Bologna, Italy at July 11¿15, 2022. The proceedings cover a diverse set of psychometric topics, in…

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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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Qing Zhao
Bayesian Analysis of Spatially Structured Population Dynamics

Ecological Studies - Band 253

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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Azhar Ul Haque Sario
Sales Forecasting

Sales Forecasting: Data Science ModelsUnlock the future of sales with the power of data science. This book is your guide to predicting sales across various industries using advanced techniques like:Regres…

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Isaac D Mehlhaff
Mass Polarization Across Time and Space

Mass polarization is one of the defining features of politics in the twenty-first century, but efforts to understand its causes and effects are often hindered by empirical challenges related to measuremen…

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Isaac D. Mehlhaff
Mass Polarization across Time and Space

Mass polarization is one of the defining features of politics in the twenty-first century, but efforts to understand its causes and effects are often hindered by empirical challenges related to measuremen…

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Jee-Seon Kim, Marie Wiberg,
Quantitative Psychology

This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24¿28, 2023.The proceeding covers a diverse set of psychometric topics. The top…

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