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The Structure Of Inference
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Book Synopsis The Structure of Scientific Inference by : Mary Hesse
Download or read book The Structure of Scientific Inference written by Mary Hesse and published by Univ of California Press. This book was released on 2022-05-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974.
Book Synopsis The Structure of Scientific Inference by : Mary B. Hesse
Download or read book The Structure of Scientific Inference written by Mary B. Hesse and published by . This book was released on 1974 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Structure of Sociological Inference by : Wilhelm Baldamus
Download or read book The Structure of Sociological Inference written by Wilhelm Baldamus and published by Wiley-Blackwell. This book was released on 1976-01-01 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Lifted Probabilistic Inference by : Guy Van den Broeck
Download or read book An Introduction to Lifted Probabilistic Inference written by Guy Van den Broeck and published by MIT Press. This book was released on 2021-08-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field. After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.
Book Synopsis Inference and the Structure of Concepts by : Matías Osta Vélez
Download or read book Inference and the Structure of Concepts written by Matías Osta Vélez and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Structure of Scientific Inference by : Mary Hesse
Download or read book The Structure of Scientific Inference written by Mary Hesse and published by Univ of California Press. This book was released on 2023-11-10 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974.
Book Synopsis The Foundations of Scientific Inference by : Wesley Salmon
Download or read book The Foundations of Scientific Inference written by Wesley Salmon and published by University of Pittsburgh Pre. This book was released on 1967-09 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Not since Ernest Nagel’s 1939 monograph on the theory of probability has there been a comprehensive elementary survey of the philosophical problems of probablity and induction. This is an authoritative and up-to-date treatment of the subject, and yet it is relatively brief and nontechnical. Hume’s skeptical arguments regarding the justification of induction are taken as a point of departure, and a variety of traditional and contemporary ways of dealing with this problem are considered. The author then sets forth his own criteria of adequacy for interpretations of probability. Utilizing these criteria he analyzes contemporary theories of probability, as well as the older classical and subjective interpretations.
Book Synopsis Causal Inference by : Miquel A. Hernan
Download or read book Causal Inference written by Miquel A. Hernan and published by CRC Press. This book was released on 2019-07-07 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
Book Synopsis The Structure of Inference by : Donald Alexander Stuart Fraser
Download or read book The Structure of Inference written by Donald Alexander Stuart Fraser and published by New York : J. Wiley & Sons. This book was released on 1968 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference as Severe Testing by : Deborah G. Mayo
Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Book Synopsis The Structure of Scientific Inference [By] Mary Hesse by : Mary B. Hesse
Download or read book The Structure of Scientific Inference [By] Mary Hesse written by Mary B. Hesse and published by . This book was released on 1974 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inference and Consciousness by : Timothy Chan
Download or read book Inference and Consciousness written by Timothy Chan and published by Routledge. This book was released on 2019-12-20 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inference has long been a central concern in epistemology, as an essential means by which we extend our knowledge and test our beliefs. Inference is also a key notion in influential psychological accounts of mental capacities, ranging from problem-solving to perception. Consciousness, on the other hand, has arguably been the defining interest of philosophy of mind over recent decades. Comparatively little attention, however, has been devoted to the significance of consciousness for the proper understanding of the nature and role of inference. It is commonly suggested that inference may be either conscious or unconscious. Yet how unified are these various supposed instances of inference? Does either enjoy explanatory priority in relation to the other? In what way, or ways, can an inference be conscious, or fail to be conscious, and how does this matter? This book brings together original essays from established scholars and emerging theorists that showcase how several current debates in epistemology, philosophy of psychology and philosophy of mind can benefit from more reflections on these and related questions about the significance of consciousness for inference.
Book Synopsis Argument, Inference and Dialectic by : R.C. Pinto
Download or read book Argument, Inference and Dialectic written by R.C. Pinto and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 12 papers addressed to researchers and advanced students in informal logic and related fields, such as argumentation, formal logic, and communications. Among the issues discussed are attempts to rethink the nature of argument and of inference, the role of dialectical context, and the standards for evaluating inferences, and to shed light on the interfaces between informal logic and argumentation theory, rhetoric, formal logic and cognitive psychology.
Book Synopsis Inference on the Low Level by : Hannes Leitgeb
Download or read book Inference on the Low Level written by Hannes Leitgeb and published by Springer Science & Business Media. This book was released on 2012-11-02 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: In contrast to the prevailing tradition in epistemology, the focus in this book is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to describe and analyze such inferences. Part 1 gives a purely system-theoretic explication of belief and inference. Part 2 adds a reliabilist theory of justification for inference, with a qualitative notion of reliability being employed. Part 3 recalls and extends various systems of deductive and nonmonotonic logic and thereby explains the semantics of absolute and high reliability. In Part 4 it is proven that qualitative neural networks are able to draw justified deductive and nonmonotonic inferences on the basis of distributed representations. This is derived from a soundness/completeness theorem with regard to cognitive semantics of nonmonotonic reasoning. The appendix extends the theory both logically and ontologically, and relates it to A. Goldman's reliability account of justified belief.
Book Synopsis Paragraph Structure Inference by : Edward J. Crothers
Download or read book Paragraph Structure Inference written by Edward J. Crothers and published by Ablex Pub. This book was released on 1979 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data and Evidence in Linguistics by : András Kertész
Download or read book Data and Evidence in Linguistics written by András Kertész and published by Cambridge University Press. This book was released on 2012-02-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The question of what types of data and evidence can be used is one of the most important topics in linguistics. This book is the first to comprehensively present the methodological problems associated with linguistic data and evidence. Its originality is twofold. First, the authors' approach accounts for a series of unexplained characteristics of linguistic theorising: the uncertainty and diversity of data, the role of evidence in the evaluation of hypotheses, the problem solving strategies as well as the emergence and resolution of inconsistencies. Second, the findings are obtained by the application of a new model of plausible argumentation which is also of relevance from a general argumentation theoretical point of view. All concepts and theses are systematically introduced and illustrated by a number of examples from different linguistic theories, and a detailed case-study section shows how the proposed model can be applied to specific linguistic problems.
Book Synopsis Elements of Causal Inference by : Jonas Peters
Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
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