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The Concept of Probability in Statistical Physics

The Concept of Probability in Statistical Physics Author Y. M. Guttmann
ISBN-10 0521621283
Release 1999-07-13
Pages 267
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A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics.



Creating Modern Probability

Creating Modern Probability Author Jan von Plato
ISBN-10 0521597358
Release 1998-01-12
Pages 323
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In this book the author charts the history and development of modern probability theory.



Probabilistic Causality

Probabilistic Causality Author Ellery Eells
ISBN-10 0521392446
Release 1991-03-29
Pages 413
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In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the book is a new theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central.



Rethinking the Foundations of Statistics

Rethinking the Foundations of Statistics Author Joseph B. Kadane
ISBN-10 0521649757
Release 1999-08-13
Pages 388
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This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling rules and Bayesian dynamics for sets of probabilities. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.



Philosophical Lectures on Probability

Philosophical Lectures on Probability Author Bruno de Finetti
ISBN-10 9781402082016
Release 2008-05-20
Pages 216
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Bruno de Finetti (1906–1985) is the founder of the subjective interpretation of probability, together with the British philosopher Frank Plumpton Ramsey. His related notion of “exchangeability” revolutionized the statistical methodology. This book (based on a course held in 1979) explains in a language accessible also to non-mathematicians the fundamental tenets and implications of subjectivism, according to which the probability of any well specified fact F refers to the degree of belief actually held by someone, on the ground of her whole knowledge, on the truth of the assertion that F obtains.



The Foundations of Causal Decision Theory

The Foundations of Causal Decision Theory Author James M. Joyce
ISBN-10 0521641640
Release 1999-04-13
Pages 268
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The early chapters of the book introduce the nonspecialist to the rudiments of expected utility theory.



Interpreting Probability

Interpreting Probability Author David Howie
ISBN-10 1139434373
Release 2002-08-08
Pages
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The term probability can be used in two main senses. In the frequency interpretation it is a limiting ratio in a sequence of repeatable events. In the Bayesian view, probability is a mental construct representing uncertainty. This 2002 book is about these two types of probability and investigates how, despite being adopted by scientists and statisticians in the eighteenth and nineteenth centuries, Bayesianism was discredited as a theory of scientific inference during the 1920s and 1930s. Through the examination of a dispute between two British scientists, the author argues that a choice between the two interpretations is not forced by pure logic or the mathematics of the situation, but depends on the experiences and aims of the individuals involved. The book should be of interest to students and scientists interested in statistics and probability theories and to general readers with an interest in the history, sociology and philosophy of science.



Decision Space

Decision Space Author Paul Weirich
ISBN-10 1139430416
Release 2001-08-27
Pages
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In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.



Probability Theory

Probability Theory Author E. T. Jaynes
ISBN-10 0521592712
Release 2003-04-10
Pages 727
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index



The Dynamics of Norms

The Dynamics of Norms Author Cristina Bicchieri
ISBN-10 0521560624
Release 1997
Pages 222
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This 'state-of-the-art' collection of essays presents some of the best contemporary research into the dynamical processes underlying the formation, maintenance, metamorphosis and dissolution of norms. The volume combines formal modelling with more traditional analysis.



The Design Inference

The Design Inference Author William A. Dembski
ISBN-10 9781139936293
Release 1998-09-13
Pages
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The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified (i.e. conforms to an independently given pattern) undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative 1998 book shows how incomplete undirected causes are for science and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians.



American Book Publishing Record

American Book Publishing Record Author
ISBN-10 UOM:39015016313598
Release 1991
Pages
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American Book Publishing Record has been writing in one form or another for most of life. You can find so many inspiration from American Book Publishing Record also informative, and entertaining. Click DOWNLOAD or Read Online button to get full American Book Publishing Record book for free.



Quantum Models of Cognition and Decision

Quantum Models of Cognition and Decision Author Jerome R. Busemeyer
ISBN-10 9781139536486
Release 2012-07-26
Pages
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Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modeling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.



Foundations of Probability with Applications

Foundations of Probability with Applications Author Patrick Suppes
ISBN-10 0521568358
Release 1996-11-13
Pages 193
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This is an important collection of essays by a leading philosopher, dealing with the foundations of probability.



Topics in the Constructive Theory of Countable Markov Chains

Topics in the Constructive Theory of Countable Markov Chains Author G. Fayolle
ISBN-10 0521461979
Release 1995-05-18
Pages 169
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Provides methods of analysing Markov chains based on Lyapunov functions.



Betting on Theories

Betting on Theories Author Patrick Maher
ISBN-10 052141850X
Release 1993-02-26
Pages 309
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This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.



Information Theory Inference and Learning Algorithms

Information Theory  Inference and Learning Algorithms Author David J. C. MacKay
ISBN-10 0521642981
Release 2003-09-25
Pages 628
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Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.