Download or read book Causation Prediction and Legal Analysis written by Stuart S. Nagel and published by Praeger. This book was released on 1986-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nagel draws on his experience as a practicing attorney and legal scholar to present a clear and concise discussion of the analytical methods in law which deal with causation and prediction. Within the legal arena, causal analysis explains the factors involved that cause legal policies/decisions to be adopted and the impact a legal policy is likely to have, and why. Predictive analysis is an attempt to forecast the outcome of a legal action and is especially useful for those involved in courtroom procedures. Causation, Prediction, and Legal Analysis is the only book available on this broadly focused subject, encompassing a thorough exposition of both the theory and application of causation and prediction.
Download or read book Causation Prediction and Search written by Peter Spirtes and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to predict the outcomes of actions, experiments or policies. Much of G. Udny Yule's work illustrates a vision of statistics whose goal is to investigate when and how causal influences may be reliably inferred, and their comparative strengths estimated, from statistical samples. Yule's enterprise has been largely replaced by Ronald Fisher's conception, in which there is a fundamental cleavage between experimental and non experimental inquiry, and statistics is largely unable to aid in causal inference without randomized experimental trials. Every now and then members of the statistical community express misgivings about this turn of events, and, in our view, rightly so. Our work represents a return to something like Yule's conception of the enterprise of theoretical statistics and its potential practical benefits. If intellectual history in the 20th century had gone otherwise, there might have been a discipline to which our work belongs. As it happens, there is not. We develop material that belongs to statistics, to computer science, and to philosophy; the combination may not be entirely satisfactory for specialists in any of these subjects. We hope it is nonetheless satisfactory for its purpose.
Download or read book Causation Prediction and Legal Analysis written by Stuart S. Nagel and published by Praeger. This book was released on 1986-11-12 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nagel draws on his experience as a practicing attorney and legal scholar to present a clear and concise discussion of the analytical methods in law which deal with causation and prediction. Within the legal arena, causal analysis explains the factors involved that cause legal policies/decisions to be adopted and the impact a legal policy is likely to have, and why. Predictive analysis is an attempt to forecast the outcome of a legal action and is especially useful for those involved in courtroom procedures. Causation, Prediction, and Legal Analysis is the only book available on this broadly focused subject, encompassing a thorough exposition of both the theory and application of causation and prediction.
Download or read book Causation and Explanation written by Stathis Psillos and published by Routledge. This book was released on 2014-12-18 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the nature of causation? How is causation linked with explanation? And can there be an adequate theory of explanation? These questions and many others are addressed in this unified and rigorous examination of the philosophical problems surrounding causation, laws and explanation. Part 1 of this book explores Hume's views on causation, theories of singular causation, and counterfactual and mechanistic approaches. Part 2 considers the regularity view of laws and laws as relations among universals, as well as recent alternative approaches to laws. Part 3 examines the issues arising from deductive-nomological explanation, statistical explanation, the explanation of laws and the metaphysics of explanation. Accessible to readers of all levels, this book provides an excellent introduction to one of the most enduring problems of philosophy.
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.
Download or read book Causality and Modern Science written by Mario Bunge and published by Courier Corporation. This book was released on 2012-09-19 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I regard it as a truly seminal work in this field." — Professor William A. Wallace, author of Causality and Scientific ExplanationThis third edition of a distinguished book on the subject of causality is clear evidence that this principle continues to be an important area of philosophic enquiry.Non-technical and clearly written, this book focuses on the ontological problem of causality, with specific emphasis on the place of the causal principle in modern science. The author first defines the terminology employed and describes various formulations on the causal principle. He then examines the two primary critiques of causality, the empiricist and the romantic, as a prelude to the detailed explanation of the actual assertions of causal determination. Finally, Dr. Bunge analyzes the function of the causal principle in science, touching on such subjects as scientific law, scientific explanation, and scientific prediction. Included, also, is an appendix that offers specific replies to questions and criticisms raised upon the publication of the first edition.Now professor of philosophy and head of the Foundation and Philosophy of Science Unit at McGill University in Montreal, Dr. Mario Bunge has formerly been a full professor of theoretical physics. His observations on causality are of great interest to both scientists and humanists, as well as the general scientific and philosophic reader.
Download or read book Causality and Modern Science written by Mario Bunge and published by Routledge. This book was released on 2017-07-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The causal problem has become topical once again. While we are no longer causalists or believers in the universal truth of the causal principle we continue to think of causes and effects, as well as of causal and noncausal relations among them. Instead of becoming indeterminists we have enlarged determinism to include noncausal categories. And we are still in the process of characterizing our basic concepts and principles concerning causes and effects with the help of exact tools. This is because we want to explain, not just describe, the ways of things. The causal principle is not the only means of understanding the world but it is one of them.The demand for a fourth edition of this distinguished book on the subject of causality is clear evidence that this principle continues to be an important and popular area of philosophic enquiry. Non-technical and clearly written, this book focuses on the ontological problem of causality, with specific emphasis on the place of the causal principle in modern science. Mario Bunge first defines the terminology employed and describes various formulations of the causal principle. He then examines the two primary critiques of causality, the empiricist and the romantic, as a prelude to the detailed explanation of the actual assertions of causal determinism.Bunge analyzes the function of the causal principle in science, touching on such subjects as scientific law, scientific explanation, and scientific prediction. In so doing, he offers an education to layman and specialist alike on the history of a concept and its opponents. Professor William A. Wallace, author of Causality and Scientific Explanation said of an earlier edition of this work: "I regard it as a truly seminal work in this field."
Download or read book Prediction and Causality in Econometrics and Related Topics written by Nguyen Ngoc Thach and published by Springer Nature. This book was released on 2021-07-26 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
Download or read book Cele 6rities written by and published by . This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Causal Analysis written by Lawrence R. James and published by SAGE Publications, Incorporated. This book was released on 1982-10 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.
Download or read book Mechanism and Causality in Biology and Economics written by Hsiang-Ke Chao and published by Springer Science & Business Media. This book was released on 2013-07-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses fundamental issues in the philosophy of science in the context of two most intriguing fields: biology and economics. Written by authorities and experts in the philosophy of biology and economics, Mechanism and Causality in Biology and Economics provides a structured study of the concepts of mechanism and causality in these disciplines and draws careful juxtapositions between philosophical apparatus and scientific practice. By exploring the issues that are most salient to the contemporary philosophies of biology and economics and by presenting comparative analyses, the book serves as a platform not only for gaining mutual understanding between scientists and philosophers of the life sciences and those of the social sciences, but also for sharing interdisciplinary research that combines both philosophical concepts in both fields. The book begins by defining the concepts of mechanism and causality in biology and economics, respectively. The second and third parts investigate philosophical perspectives of various causal and mechanistic issues in scientific practice in the two fields. These two sections include chapters on causal issues in the theory of evolution; experiments and scientific discovery; representation of causal relations and mechanism by models in economics. The concluding section presents interdisciplinary studies of various topics concerning extrapolation of life sciences and social sciences, including chapters on the philosophical investigation of conjoining biological and economic analyses with, respectively, demography, medicine and sociology.
Download or read book Causation and Responsibility written by Michael S. Moore and published by Oxford University Press. This book was released on 2010-07-15 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of causation is fundamental to ascribing moral and legal responsibility for events. Yet the relationship between causation and responsibility remains unclear. What precisely is the connection between the concept of causation used in attributing responsibility and the accounts of causal relations offered in the philosophy of science and metaphysics? How much of what we call causal responsibility is in truth defined by non-causal factors? This book argues that much of thelegal doctrine on these questions is confused and incoherent, and offers the first comprehensive attempt since Hart and Honoré to clarify the philosophical background to the legal and moral debates.The book first sets out the place of causation in criminal and tort law and outlines the metaphysics presupposed by the legal doctrine. It then analyses the best theoretical accounts of causation in the philosophy of science and metaphysics, and using these accounts criticises many of the core legal concepts surrounding causation - such as intervening causation, forseeability of harm and complicity. It considers and rejects the radical proposals to eliminate the notion of causation from law byusing risk analysis to attribute responsibility. The result of the analysis is a powerful argument for revising our understanding of the role played by causation in the attribution of legal and moral responsibility.
Download or read book Explanation Laws and Causation written by Wei Wang and published by Routledge. This book was released on 2017-04-21 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific explanation, laws of nature, and causation are crucial and frontier issues in the philosophy of science. This book studies the complex relationship between the three concepts, aiming to achieve a holistic synthesis about explanation–laws–causation. By reviewing Hempel's scientific explanation models and Salmon's three conceptions – the epistemic, modal, and ontic conception – the book suggests that laws are essential to explanation and that our understanding of laws will help solve the problems of the latter. Concerning the nature of laws, this book tackles both the problems of regularity approach and necessitarian approach. It also proposes that the ontological order of explanation should be from events (or processes) to causation, then to regularity (laws), and finally to science system, but the epistemological order should be from science system to laws to explanation and causation. In addition, this book examines the legitimacy of ceteris paribus laws, the connection between explanation and reduction, the relation between explanation and interpretation, and some other issues closely related to explanation–laws–causation. This book will attract scholars and students of philosophy of science, natural sciences, social sciences, etc.
Download or read book Causality written by Judea Pearl and published by Cambridge University Press. This book was released on 2009-09-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. 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, artificial intelligence ...
Download or read book Causality in the Sciences written by Phyllis Illari and published by OUP Oxford. This book was released on 2011-03-17 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a need for integrated thinking about causality, probability and mechanisms in scientific methodology. Causality and probability are long-established central concepts in the sciences, with a corresponding philosophical literature examining their problems. On the other hand, the philosophical literature examining mechanisms is not long-established, and there is no clear idea of how mechanisms relate to causality and probability. But we need some idea if we are to understand causal inference in the sciences: a panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, routinely make use of probability, statistics, theory and mechanisms to infer causal relationships. These disciplines have developed very different methods, where causality and probability often seem to have different understandings, and where the mechanisms involved often look very different. This variegated situation raises the question of whether the different sciences are really using different concepts, or whether progress in understanding the tools of causal inference in some sciences can lead to progress in other sciences. The book tackles these questions as well as others concerning the use of causality in the sciences.
Download or read book Causality written by Mario Bunge and published by . This book was released on 1959 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Causation Prediction and Search written by Peter Spirtes and published by MIT Press. This book was released on 2001-01-29 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control our environment. What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and control our environment? In this book Peter Spirtes, Clark Glymour, and Richard Scheines address these questions using the formalism of Bayes networks, with results that have been applied in diverse areas of research in the social, behavioral, and physical sciences. The authors show that although experimental and observational study designs may not always permit the same inferences, they are subject to uniform principles. They axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models, including models of categorical data and structural equation models with and without latent variables. The authors show that the relationship between causality and probability can also help to clarify such diverse topics in statistics as the comparative power of experimentation versus observation, Simpson's paradox, errors in regression models, retrospective versus prospective sampling, and variable selection. The second edition contains a new introduction and an extensive survey of advances and applications that have appeared since the first edition was published in 1993.
