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Bayesian Decision Analysis
Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence diagrams and causal Bayesian networks. The author demonstrates when and how the theory can be successfully applied to a given decision problem, how data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be implemented. Evolving from a third-year undergraduate course taught by the author over many years, all of the material in this book will be accessible to a student who has completed introductory courses in probability and mathematical statistics.
Assault on the Deadwood Stage
In the 1870s, Deadwood was a thriving—and largely lawless—boomtown. And as any fan of western history and films knows, stagecoach robberies were a regular feature of life in this fabled region of Dakota Territory. Now, for the first time, Robert K. DeArment tells the story of the "good guys and bad guys" behind these violent crimes: the road agents who wreaked havoc on Deadwood's roadways and the shotgun messengers who battled to protect stagecoach passengers and their valuable cargo. DeArment shows in dramatic detail how for two years gangs of robbers ruled the road, perpetrating holdups and killings, until lawmen and stage-company and railroad agents finally brought an end to the mayhe...
Decision Theory and Decision Analysis: Trends and Challenges
Decision Theory and Decision Analysis: Trends and Challenges is divided into three parts. The first part, overviews, provides state-of-the-art surveys of various aspects of decision analysis and utility theory. The second part, theory and foundations, includes theoretical contributions on decision-making under uncertainty, partial beliefs and preferences. The third section, applications, reflects the real possibilities of recent theoretical developments such as non-expected utility theories, multicriteria decision techniques, and how these improve our understanding of other areas including artificial intelligence, economics, and environmental studies.
Computational approaches to semantic change
Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Suc...
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". This collection features selected peer-reviewed contributions that showcase the vibrant and diverse research presented at meeting. This book is intended for a broad audience interested in statistics and aims at providing stimulating contributions to theoretical, methodological, and computational aspects of Bayesian statistics. The contributions highlight various topics in Bayesian statistics, presenting promising methodological approaches to address critical challenges across diverse applications. This compilation stands as a testament to the talent and potential within the j-ISBA community. This book is meant to serve as a catalyst for continued advancements in Bayesian methodology and its applications and encourages fruitful collaborations that push the boundaries of statistical research.
Cognitive Sociolinguistics Revisited
Cognitive Sociolinguistics draws on the rich theoretical framework of Cognitive Linguistics and focuses on the social factors that underlie the variability of meaning and conceptualization. In the last decade, the field has expanded in various way. The current volume takes stock of current and emerging advances in the field in short academic contributions. The studies collected in this book have a usage-based approach to language variation and change, drawing on the theoretical framework of Cognitive Linguistics and are sensitive to social variation, be it cross-linguistic or language-internal. Three types of contributions are collected in this book. First, it contains theoretical overview papers on the domains that have witnessed expansion in recent years. Second, it presents novel research ideas in proof-of-concept contributions, aimed at blue-sky research and out-of-the-box linguistic analyses. Third, it showcases recent empirical studies within the field. By combining these three types of contributions, the book provides an encompassing overview of novel developments in the field of Cognitive Sociolinguistics.
Expert Judgement in Risk and Decision Analysis
This book pulls together many perspectives on the theory, methods and practice of drawing judgments from panels of experts in assessing risks and making decisions in complex circumstances. The book is divided into four parts: Structured Expert Judgment (SEJ) current research fronts; the contributions of Roger Cooke and the Classical Model he developed; process, procedures and education; and applications. After an Introduction by the Editors, the first part presents chapters on expert elicitation of parameters of multinomial models; the advantages of using performance weighting by advancing the “random expert” hypothesis; expert elicitation for specific graphical models; modelling depende...
MICAI 2004: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the Third Mexican International Conference on Artificial Intelligence, MICAI 2004, held in Mexico City, Mexico in April 2004. The 94 revised full papers presented were carefully reviewed and selected from 254 submissions. The papers are organized in topical sections on applications, intelligent interfaces and speech processing, knowledge representation, logic and constraint programming, machine learning and data mining, multiagent systems and distributed AI, natural language processing, uncertainty reasoning, vision, evolutionary computation, modeling and intelligent control, neural networks, and robotics.
