Books about Causalities from Amazon.com

Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science..
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Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. Recently, a need to analyze more complex event histories has emerged. Examples are individuals that move among several states, frailty that makes some units fail before others, internal time-dependent covariates, and the estimation of causal effects from observational data.

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data.

The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously.

To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.

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A disturbing and radical examination of the status of women and the role of violence in contemporary culture and politics .
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Michael Leyton's arguments about the nature of perception and cognition are fascinating, exciting, and sure to be controversial In this investigation of the psychological relationship between shape and time, Leyton argues compellingly that shape is used by the mind to recover the past and as such it forms a basis for memory. He elaborates a system of rules by which the conversion to memory takes place and presents a number of detailed case studies - in perception, linguistics, art, and even political subjugation - that support these rules.

Leyton observes that the mind assigns to any shape a causal history explaining how the shape was formed. We cannot help but perceive a deformed can as a dented can. Moreover, by reducing the study of shape to the study of symmetry, he shows that symmetry is crucial to our everyday cognitive processing. Symmetry is the means by which shape is converted into memory.

Perception is usually regarded as the recovery of the spatial layout of the environment. Leyton, however, shows that perception is fundamentally the extraction of time from shape. In doing so, he is able to reduce the several areas of computational vision purely to symmetry principles. Examining grammar in linguistics, he argues that a sentence is psychologically represented as a piece of causal history, an archeological relic disinterred by the listener so that the sentence reveals the past. Again through a detailed analysis of art he shows that what the viewer takes to be the experience of a painting is in fact the extraction of time from the shapes of the painting. Finally he highlights crucial aspects of the mind's attempt to recover time in examples of political subjugation.

Michael Leyton is a professor in the Psychology Department at Rutgers University. He is a recipient of the Presidential Young Investigatory Award for outstanding work in cognitive science..
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The plays of Shakespeare are filled with ghosts--and ghost writing In Shakespeare's Ghost Writers, Marjorie Garber begins with an examination of the authorship controversy surrounding Shakespeare: the claim made repeatedly that the plays were ghostwritten. Garber asks what is at stake in the imputation that "Shakespeare" did not write the plays and argues that the plays themselves both thematize and theorize that controversy..
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This sequel to the authors’ Psychological Knowledge in Court offers a welcome expansion on key concepts, terms, and issues in causality, bringing much needed clarity to psychological injury assessments and the legal contexts that employ them.

Focusing on PTSD, traumatic brain injury, and chronic pain (and grounding readers in salient U.S. and Canadian case law), Causality sets out a multifactorial causality framework to facilitate admissibility of psychological evidence in court. Issues concerning malingering are examined in depth, as are clinical gray areas that can jeopardize validity. At the same time, the book clearly explains what lawyers and clinicians need to understand about each other’s work—of crucial importance since the two sides often seem to speak at cross-purposes.

The authors and six guest contributors

• Illustrate the roles of preexisting vulnerabilities, traumatic events, and post-event occurrences in psychological impairment and disability
• Review the literature on PTSD, TBI, and chronic pain for legal relevance
• Identify current challenges and controversies in the field, as well as emerging areas for research
• Recommend methods and instruments for conducting more courtworthy assessments
• Provide a detailed critical review of malingering and related phenomena
• Propose a more accurate, shared terminology of causality

Valid causality judgments are based on sound knowledge of research on large populations and careful testing of individuals; at the same time they must conform to stringent legal standards of relevance and reliability to be accepted for testimony. Forensic practitioners and attorneys will turn to Causality of Psychological Injury as their professional paths increasingly cross in seeking comprehensive and state of the art information.

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This volume provides an excellent overview of the field of discourse processes, capturing both its breadth and its depth. World-renowned researchers present the latest theoretical developments and thought-provoking empirical data. In doing so, they cover a broad range of communicative activities, including text comprehension, conversational communication, argumentation, television or media viewing, and more.

A central theme across all chapters concerns the notion that coherence determines the interpretation of the communication. The various chapters illustrate the many forms that coherence can take, and explore its role in different communicative settings.
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For over two decades Wesley Salmon has helped to shape the course of debate in philosophy of science He is a major contributor to the philosophical discussion of problems associated with causality and the author of two influential books on scientific explanation. This long-awaited volume collects twenty- six of Salmon's essays, including seven that have never before been published and others difficult to find. Part I comprises five introductory essays that presuppose no formal training in philosophy of science and form a background for subsequent essays. Parts II and III contain Salmon's seminal work on scientific explanation and causality. Part IV offers survey articles that feature advanced material but remain accessible to those outside philosophy of science. Essays in Part V address specific issues in particular scientific disciplines, namely, archaeology and anthropology, astrophysics and cosmology, and physics.
Clear, compelling, and essential, this volume offers a superb introduction to philosophy of science for nonspecialists and belongs on the bookshelf of all who carry out work in this exciting field. Wesley Salmon is renowned for his seminal contributions to the philosophy of science. He has powerfully and permanently shaped discussion of such issues as lawlike and probabilistic explanation and the interrelation of explanatory notions to causal notions. This unique volume brings together twenty-six of his essays on subjects related to causality and explanation, written over the period 1971-1995. Six of the essays have never been published before and many others have only appeared in obscure venues. The volume includes a section of accessible introductory pieces, as well as more advanced and technical pieces, and will make essential work in the philosophy of science readily available to both scholars and students..
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