Download Subjective Probability full books in PDF, epub, and Kindle. Read online Subjective Probability ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Subjective Probability by : Richard Jeffrey
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
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.
Book Synopsis Subjective Probability by : George Wright
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.
Observing at a risk analysis conference for civil engineers that participants did not share a common language of probability, Vick, a consultant and geotechnic engineer, set out to not only examine why, but to also bridge the gap. He reexamines three elements at the core of engineering the concepts
Book Synopsis Degrees of Belief by : Steven G. Vick
Download or read book Degrees of Belief written by Steven G. Vick and published by ASCE Publications. This book was released on 2002-01-01 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Observing at a risk analysis conference for civil engineers that participants did not share a common language of probability, Vick, a consultant and geotechnic engineer, set out to not only examine why, but to also bridge the gap. He reexamines three elements at the core of engineering the concepts
Truth and probability; Foresight: its logical laws, its subjective sources; The bases of probability; Subjective probability as the measure of a non-measurable set; The elicitation of personal probabilities; Probability: beware of falsifications; Probable knowledge.
Book Synopsis Studies in Subjective Probability by : Henry Ely Kyburg
Download or read book Studies in Subjective Probability written by Henry Ely Kyburg and published by . This book was released on 1980 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Truth and probability; Foresight: its logical laws, its subjective sources; The bases of probability; Subjective probability as the measure of a non-measurable set; The elicitation of personal probabilities; Probability: beware of falsifications; Probable knowledge.
Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some fundamental concepts be rethought and suitably redefined. Subjecti
Book Synopsis Subjective Probability Models for Lifetimes by : Fabio Spizzichino
Download or read book Subjective Probability Models for Lifetimes written by Fabio Spizzichino and published by CRC Press. This book was released on 2001-06-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some fundamental concepts be rethought and suitably redefined. Subjecti
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.
Book Synopsis Probability and Bayesian Modeling by : Jim Albert
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.
In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.
Book Synopsis Ten Great Ideas about Chance by : Persi Diaconis
Download or read book Ten Great Ideas about Chance written by Persi Diaconis and published by Princeton University Press. This book was released on 2019-10-08 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the sixteenth and seventeenth centuries, gamblers and mathematicians transformed the idea of chance from a mystery into the discipline of probability, setting the stage for a series of breakthroughs that enabled or transformed innumerable fields, from gambling, mathematics, statistics, economics, and finance to physics and computer science. This book tells the story of ten great ideas about chance and the thinkers who developed them, tracing the philosophical implications of these ideas as well as their mathematical impact.
In the context of a non-deterministic view of the world, probability is a number which reflects the degree of confidence someone has that a given statement or event is true, based on the information they have. Probability and probability calculus, on the other hand, are essential tools for those who wish to recognise uncertainty and manage it responsibly. This presentation of subjective probability (the only one possible) will enable even those who are not experts to acquire the correct knowledge of an instrument which is essential and necessary for dealing with the world around us. The text takes only one hour to read, but it will help you to avoid many mistakes and enable you to understand the origin of those you might have made in the past. The reader will also be able to appreciate many funny examples and paradoxes such as this one: statistics tell us that 20% of motorway car accidents are caused by drivers with high blood alcohol levels. It can then be derived that 80% of accidents are caused by sober drivers. Therefore, we should supply alcohol to those who drive on motorways!
Book Synopsis Subjective Probability: the Only Kind Possible by : Paolo Manca
Download or read book Subjective Probability: the Only Kind Possible written by Paolo Manca and published by goWare. This book was released on 2017-07-06 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of a non-deterministic view of the world, probability is a number which reflects the degree of confidence someone has that a given statement or event is true, based on the information they have. Probability and probability calculus, on the other hand, are essential tools for those who wish to recognise uncertainty and manage it responsibly. This presentation of subjective probability (the only one possible) will enable even those who are not experts to acquire the correct knowledge of an instrument which is essential and necessary for dealing with the world around us. The text takes only one hour to read, but it will help you to avoid many mistakes and enable you to understand the origin of those you might have made in the past. The reader will also be able to appreciate many funny examples and paradoxes such as this one: statistics tell us that 20% of motorway car accidents are caused by drivers with high blood alcohol levels. It can then be derived that 80% of accidents are caused by sober drivers. Therefore, we should supply alcohol to those who drive on motorways!
The mathematical implications of personal beliefs and values in science and commerce Amid a worldwide resurgence of interest in subjectivist statistical method, this book offers a fresh look at the role of personal judgments in statistical analysis. Frank Lad demonstrates how philosophical attention to meaning provides a sensible assessment of the prospects and procedures of empirical inferential learning. Operational Subjective Statistical Methods offers a systematic investigation of Bruno de Finetti's theory of probability and logic of uncertainty, which recognizes probability as the measure of personal uncertainty at the heart of its mathematical presentation. It identifies de Finetti's "fundamental theorem of coherent provision" as the unifying structure of probabilistic logic, and highlights the judgment of exchangeability rather than causal independence as the key probabilistic component of statistical inference. Broad in scope, yet firmly grounded in mathematical detail, this text/reference Invites readers to address the subjective personalist meaning of probability as motivating the mathematical construction Contains numerous examples and problems, including computing problems using Matlab, assuming no background in Matlab Explains how to use the material in three distinct sequential courses in math and statistics, as well as in courses at the graduate level in applied fields Provides an introductory basis for understanding more complex structures of statistical analysis Complete with fifty illustrations, Operational Subjective Statistical Methods makes an intriguing discipline accessible to professionals, students, and the interested general reader. It contains a wealth of teaching and research material, and offers profound insight into the relationship between philosophy, faith, and scientific method.
Book Synopsis Operational Subjective Statistical Methods by : Frank Lad
Download or read book Operational Subjective Statistical Methods written by Frank Lad and published by Wiley-Interscience. This book was released on 1996-09-27 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematical implications of personal beliefs and values in science and commerce Amid a worldwide resurgence of interest in subjectivist statistical method, this book offers a fresh look at the role of personal judgments in statistical analysis. Frank Lad demonstrates how philosophical attention to meaning provides a sensible assessment of the prospects and procedures of empirical inferential learning. Operational Subjective Statistical Methods offers a systematic investigation of Bruno de Finetti's theory of probability and logic of uncertainty, which recognizes probability as the measure of personal uncertainty at the heart of its mathematical presentation. It identifies de Finetti's "fundamental theorem of coherent provision" as the unifying structure of probabilistic logic, and highlights the judgment of exchangeability rather than causal independence as the key probabilistic component of statistical inference. Broad in scope, yet firmly grounded in mathematical detail, this text/reference Invites readers to address the subjective personalist meaning of probability as motivating the mathematical construction Contains numerous examples and problems, including computing problems using Matlab, assuming no background in Matlab Explains how to use the material in three distinct sequential courses in math and statistics, as well as in courses at the graduate level in applied fields Provides an introductory basis for understanding more complex structures of statistical analysis Complete with fifty illustrations, Operational Subjective Statistical Methods makes an intriguing discipline accessible to professionals, students, and the interested general reader. It contains a wealth of teaching and research material, and offers profound insight into the relationship between philosophy, faith, and scientific method.
Book Synopsis Subjective Probability and Statistical Practice by : Leonard Jimmie Savage
Download or read book Subjective Probability and Statistical Practice written by Leonard Jimmie Savage and published by . This book was released on 1959 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: