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Author : Marianne Bauer
Publisher :
ISBN 13 :
Total Pages : 29 pages
Book Rating : 4.:/5 (468 download)
Download or read book Subjective representation and prediction in probabilistic inference tasks written by Marianne Bauer and published by . This book was released on 1973 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Marianne Bauer
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.F/5 ( download)
Download or read book Subjective Representation and Prediction in Probabilistic Inference Tasks written by Marianne Bauer and published by . This book was released on 1973 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : J. Kozielecki
Publisher : Springer Science & Business Media
ISBN 13 : 9789027710512
Total Pages : 426 pages
Book Rating : 4.7/5 (15 download)
Download or read book Psychological Decision Theory written by J. Kozielecki and published by Springer Science & Business Media. This book was released on 1982-03-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Roger Hagafors
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (319 download)
Download or read book Learning of Probabilistic Inference Tasks written by Roger Hagafors and published by . This book was released on 1981 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : George Wright
Publisher :
ISBN 13 :
Total Pages : 608 pages
Book Rating : 4.F/5 ( download)
Download or read book Subjective Probability written by George Wright and published by . This book was released on 1994-11 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview of subjective probability ranges from discussion of the philosophy of axiom systems through studies in the psychological laboratory to the real world of business decision-making.
Author : Guy Van den Broeck
Publisher : MIT Press
ISBN 13 : 0262542595
Total Pages : 455 pages
Book Rating : 4.2/5 (625 download)
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.
Author : Richard Jeffrey
Publisher : Cambridge University Press
ISBN 13 : 9780521536684
Total Pages : 144 pages
Book Rating : 4.5/5 (366 download)
Download or read book Subjective Probability written by Richard Jeffrey and published by Cambridge University Press. This book was released on 2004-04-12 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample Text
Author : Andreas Glöckner
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Coherence Shifts in Probabilistic Inference Tasks written by Andreas Glöckner and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast-and-frugal heuristics approach to probabilistic inference assumes that individuals often employ simple heuristics to integrate cue information that commonly function in a non-reciprocal fashion. Specifically, the subjective validity of a certain cue remains stable during the application of a heuristic and is not changed by the presence or absence of another cue. The parallel-constraint-satisfaction model, in contrast, predicts that information is processed in a reciprocal fashion. Specifically, it assumes that subjective cue validities interactively affect each other and are modified to coherently support the favored choice. Corresponding to the model's simulation, we predicted the direction of such coherence shifts.Cue validities were measured before, after (Exp. 1) and during judgment (Exp. 2 & 3). Coherence shifts were found in environments involving real-world cue knowledge (weather forecasts) and in a domain for which the application of fast-and-frugal heuristics has been demonstrated (city-size tasks). The results indicate that subjective cue validities are not fixed parameters, but that they are interactively changed to form coherent representations of the task.
Author :
Publisher :
ISBN 13 :
Total Pages : 420 pages
Book Rating : 4.3/5 ( download)
Download or read book Beteendevetenskapliga Rapporter written by and published by . This book was released on 1972 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ghelly V. Chernov
Publisher : John Benjamins Publishing
ISBN 13 : 9027294984
Total Pages : 300 pages
Book Rating : 4.0/5 (272 download)
Download or read book Inference and Anticipation in Simultaneous Interpreting written by Ghelly V. Chernov and published by John Benjamins Publishing. This book was released on 2004-12-23 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until now, Ghelly Chernov’s work on the theory of simultaneous interpretation (SI) was mostly accessible only to a Russian-speaking readership. Finally, Chernov’s major work, originally published in Russia in 1987 under the title Основы Синхронного Перевода (Introduction to Simultaneous Interpretation) and widely considered a classic in interpretation theory, is now available in English as well. Adopting a psycholinguistic approach to professional SI, Chernov defines it as a task performed in a single pass concurrently with the source language speech, under extreme perception and production conditions in which only a limited amount of information can be processed at any given time. Being both a researcher and a practitioner, Chernov drew from a rich interpreting corpus to create the first comprehensive model of simultaneous interpretation. His model draws on semantics, pragmatics, Russian Activity Theory and the SI communicative situation to formulate the principles of objective and subjective redundancy and identify probability prediction as the enabling mechanism of SI. Edited with notes and a critical foreword by two active SI researchers, Robin Setton and Adelina Hild, this book will be useful to practicing interpreters in providing a theoretical basis for appreciating the syntactic and other devices that can be used by both students and experienced interpreters in fine-tuning their performance in the booth.
Author : Karl Friston
Publisher : Frontiers Media SA
ISBN 13 : 2889711285
Total Pages : 172 pages
Book Rating : 4.8/5 (897 download)
Download or read book Probabilistic Perspectives on Brain (dys)Function written by Karl Friston and published by Frontiers Media SA. This book was released on 2021-08-02 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jim Albert
Publisher : CRC Press
ISBN 13 : 1351030132
Total Pages : 553 pages
Book Rating : 4.3/5 (51 download)
Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Author :
Publisher :
ISBN 13 :
Total Pages : 862 pages
Book Rating : 4.3/5 (91 download)
Download or read book Educational and Psychological Interactions written by and published by . This book was released on 1981 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Seymour Geisser
Publisher : CRC Press
ISBN 13 : 9780412034718
Total Pages : 280 pages
Book Rating : 4.0/5 (347 download)
Download or read book Predictive Inference written by Seymour Geisser and published by CRC Press. This book was released on 1993-06-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.
Author : Marianne Bauer
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.:/5 (718 download)
Download or read book Relationships Between Prediction and Estimation-responses in Probabilistic Inference with Stationary and Nonstationary Tasks written by Marianne Bauer and published by . This book was released on 1971 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Göran Ekegren
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (37 download)
Download or read book Verbal Reports about Strategies in Probabilistic Inference Learning Tasks written by Göran Ekegren and published by . This book was released on 1983 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Deborah G. Mayo
Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.1/5 (85 download)
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.
