Bayes Or Bust
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Bayes Or Bust
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Author : John Earman
language : en
Publisher: National Geographic Books
Release Date : 1992-05-28
Bayes Or Bust written by John Earman and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-05-28 with Psychology categories.
Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns.
Bayesian Nets And Causality Philosophical And Computational Foundations
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Author : Jon Williamson
language : en
Publisher: Oxford University Press
Release Date : 2005
Bayesian Nets And Causality Philosophical And Computational Foundations written by Jon Williamson and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Bayesian nets are used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions perform diagnoses, take decisions and even to discover causal relationships. This book brings together how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.
Bayesians Versus Frequentists
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Author : Jordi Vallverdú
language : en
Publisher: Springer
Release Date : 2015-11-06
Bayesians Versus Frequentists written by Jordi Vallverdú and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Science categories.
This book analyzes the origins of statistical thinking as well as its related philosophical questions, such as causality, determinism or chance. Bayesian and frequentist approaches are subjected to a historical, cognitive and epistemological analysis, making it possible to not only compare the two competing theories, but to also find a potential solution. The work pursues a naturalistic approach, proceeding from the existence of numerosity in natural environments to the existence of contemporary formulas and methodologies to heuristic pragmatism, a concept introduced in the book’s final section. This monograph will be of interest to philosophers and historians of science and students in related fields. Despite the mathematical nature of the topic, no statistical background is required, making the book a valuable read for anyone interested in the history of statistics and human cognition.
Bayesian Statistics The Fun Way
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Author : Will Kurt
language : en
Publisher: No Starch Press
Release Date : 2019-07-09
Bayesian Statistics The Fun Way written by Will Kurt and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-09 with Mathematics categories.
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: - How to measure your own level of uncertainty in a conclusion or belief - Calculate Bayes theorem and understand what it's useful for - Find the posterior, likelihood, and prior to check the accuracy of your conclusions - Calculate distributions to see the range of your data - Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.
Bayesian Reasoning In Data Analysis A Critical Introduction
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Author : Giulio D'agostini
language : en
Publisher: World Scientific
Release Date : 2003-06-13
Bayesian Reasoning In Data Analysis A Critical Introduction written by Giulio D'agostini and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-13 with Mathematics categories.
This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide — under well-defined assumptions! — with “standard” methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.
Bayesian Probability For Babies
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Author : Chris Ferrie
language : en
Publisher: Sourcebooks, Inc.
Release Date : 2019-07-02
Bayesian Probability For Babies written by Chris Ferrie and has been published by Sourcebooks, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-02 with Juvenile Nonfiction categories.
Fans of Chris Ferrie's Rocket Science for Babies, Astrophysics for Babies, and 8 Little Planets will love this introduction to the basic principles of probability for babies and toddlers! Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind. If you took a bite out of a cookie and that bite has no candy in it, what is the probability that bite came from a candy cookie or a cookie with no candy? You and baby will find out the probability and discover it through different types of distribution. Yet another Baby University board book full of simple explanations of complex ideas written by an expert for your future genius! If you're looking for baby math books, probability for kids, or more Baby University board books to surprise your little one, look no further! Bayesian Probability for Babies offers fun early learning for your little scientist!
Observation And Experiment In The Natural And Social Sciences
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Author : Maria Carla Galavotti
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18
Observation And Experiment In The Natural And Social Sciences written by Maria Carla Galavotti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Science categories.
According to a long tradition in philosophy of science, a clear cut distinction can be traced between a context of discovery and a context of justification. This tradition dates back to the birth of the discipline in connection with the Circles of Vienna and Berlin, in the twenties and thirties of last century. Convicted that only the context of justification is pertinent to philosophy of science, logical empiricists identified its goal with the “rational reconstruction” of scientific knowledge, taken as the clarification of the logical structure of science, through an analysis of its language and methods. Stressing justification as the proper field of application of philosophy of science, logical empiricists intended to leave discovery out of its remit. The context of discovery was then discarded from philosophy of science and left to sociology, psychology and history. The distinction between context of discovery and context of justification goes hand in hand with the tenet that the theoretical side of science can – and should – be kept separate from its observational and experimental components. Further, the final, abstract formulation of theories should be analysed apart from the process behind it, resulting from a tangle of context-dependent factors. This conviction is reflected by the distinction between theoretical and observational sentences underpinning the Hempelian view of theories as nets, whose knots represent theoretical terms, floating on the plane of observation, to which it is anchored by rules of interpretation.
Inference And Consciousness
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Author : Timothy Chan
language : en
Publisher: Routledge
Release Date : 2019-12-11
Inference And Consciousness written by Timothy Chan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Philosophy categories.
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.
Quantified Representation Of Uncertainty And Imprecision
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Author : Dov M. Gabbay
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-10-31
Quantified Representation Of Uncertainty And Imprecision written by Dov M. Gabbay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-10-31 with Philosophy categories.
We are happy to present the first volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems. Uncertainty pervades the real world and must therefore be addressed by every system that attempts to represent reality. The representation of uncertainty is a ma jor concern of philosophers, logicians, artificial intelligence researchers and com puter sciencists, psychologists, statisticians, economists and engineers. The present Handbook volumes provide frontline coverage of this area. This Handbook was produced in the style of previous handbook series like the Handbook of Philosoph ical Logic, the Handbook of Logic in Computer Science, the Handbook of Logic in Artificial Intelligence and Logic Programming, and can be seen as a companion to them in covering the wide applications of logic and reasoning. We hope it will answer the needs for adequate representations of uncertainty. This Handbook series grew out of the ESPRIT Basic Research Project DRUMS II, where the acronym is made out of the Handbook series title. This project was financially supported by the European Union and regroups 20 major European research teams working in the general domain of uncertainty. As a fringe benefit of the DRUMS project, the research community was able to create this Hand book series, relying on the DRUMS participants as the core of the authors for the Handbook together with external international experts.
Science In Court
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Author : Michael Freeman
language : en
Publisher: Routledge
Release Date : 2019-05-23
Science In Court written by Michael Freeman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-23 with Law categories.
First published in 1998, this volume contains essays from leading thinkers on both sides of the Atlantic on the relationship between law and science. Science plays an ever-increasing part in the development of legislation and the adjudication of cases. Its limitations and its value are explored in these essays which discuss issues of methodology and of evidence. Amongst areas covered are silicone breast implants, the rape trauma syndrome, the environment, inventions and Bayesianism.