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1. Ten great ideas about chance [2018]
 Diaconis, Persi, author.
 Princeton ; Oxford : Princeton University Press, [2018]
 Description
 Book — x, 255 pages : illustrations ; 25 cm
 Summary

 Preface ixAcknowledgments xi1 Measurement
 12 Judgment
 223 Psychology
 484 Frequency
 625 Mathematics
 796 Inverse Inference
 1007 Unification
 1228 Algorithmic Randomness
 1459 Physical Chance
 16510 Induction 190Appendix: Probability Tutorial 209Notes 225Annotated Select Bibliography 239Image Credits 247Index 249.
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(source: Nielsen Book Data) 9780691174167 20180205
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Philosophy Library (Tanner), Science Library (Li and Ma)
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QA273 .A4 D53 2018  Unknown 
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QA273 .A4 D53 2018  Unknown 
 Sober, Elliott.
 Cambridge ; New York : Cambridge University Press, 2008.
 Description
 Book — xx, 392 p. : ill. ; 24 cm.
 Summary

 Preface
 1. Evidence
 2. Intelligent design
 3. Natural selection
 4. Common ancestry Conclusion References Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521871884 20160528
Philosophy Library (Tanner), Science Library (Li and Ma)
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QH360.5 .S625 2008  Unknown 
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QH360.5 .S625 2008  Unknown 
 Galavotti, Maria Carla.
 Stanford, Calif. : CSLI Publications, c2005.
 Description
 Book — x, 265 p. ; 24 cm.
 Summary

 The notion of probability
 The laws of probability
 The classical interpretation
 The frequency interpretation
 The propensity interpretation
 The logical interpretation
 The subjective interpretation.
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Green Library, Philosophy Library (Tanner)
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P51 .C18 NO.167  Unknown 
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P51 .C18 NO.167  Unknown 
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BC141 .G35 2005  Unknown 
 Mellor, D. H.
 London ; New York : Routledge, c2005.
 Description
 Book — 152 p. : ill. ; 24 cm.
 Summary

 Preface Introduction
 1. Kinds of Probability
 2. Classical Probabilities
 3. Frequencies
 4. Possibilities and Propensities
 5. Credence
 6. Evidence
 7. Bayes' Theorem
 8. Bayesianism: Pros and Cons
 9. The Law of Large Numbers References Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780415282512 20190129
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BC141 .M44 2005  Unknown 
 Strevens, Michael.
 Cambridge, Mass. : Harvard University Press, 2003.
 Description
 Book — xii, 413 p. : ill. ; 25 cm.
 Summary

 Note to the Reader
 1. The Simple Behavior of Complex Systems 1.1 Simplicity in Complex Systems 1.2 Enion Probability Analysis 1.3 Towards an Understanding of Enion Probabilities
 2. The Physics of Complex Probability 2.1 Complex Probability Quantified 2.2 Microconstant Probability 2.3 The Interpretation of ICVariable Distributions 2.4 Probabilistic Networks 2.5 Standard ICVariables 2.6 Complex Probability and Probabilistic Laws 2.7 Effective and Critical ICValues 2.A The Method of Arbitrary Functions 2.B More on the Tossed Coin 2.C Proofs
 3. The Independence of Complex Probabilities 3.1 Stochastic Independence and Selection Rules 3.2 Probabilities of Composite Events 3.3 Causal Independence 3.4 Microconstancy and Independence 3.5 The Probabilistic Patterns Explained 3.6 Causally Coupled Experiments 3.7 Chains of Linked ICValues 3.A Conditional Probability 3.B Proofs
 4. The Simple Behavior of Complex Systems Explained 4.1 Representing Complex Systems 4.2 Enion Probabilities and Their Experiments 4.3 The Structure of Microdynamics 4.4 Microconstancy and Independence of Enion Probabilities 4.5 Independence of Microdynamic Probabilities 4.6 Aggregation of Enion Probabilities 4.7 Grand Conditions for Simple Macrolevel Behavior 4.8 Statistical Physics 4.9 Population Ecology
 5. Implications for the Philosophy of the HigherLevel Sciences 5.1 Reduction 5.2 HigherLevel Laws 5.3 Causal Relevance 5.4 The Social Sciences 5.5 The Mathematics of Complex Systems 5.6 Are There Simple Probabilities? Notes Glossary References Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780674010420 20160527
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Philosophy Library (Tanner), SAL3 (offcampus storage)
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 Hacking, Ian.
 Cambridge, U.K. ; New York : Cambridge University Press, 2001.
 Description
 Book — xvii, 302 p. : ill. ; 26 cm.
 Summary

 Part I. Logic:
 1. Logic
 2. What is inductive logic? Part II. How to Calculate Probabilities:
 3. The gambler's fallacy
 4. Elementary probability
 5. Conditional probability
 6. Basic laws of probability
 7. Bayes' rule Part III. How to Combine Probabilities and Utilities:
 8. Expected value
 9. Maximizing expected value
 10. Decision under uncertainty Part IV. Kinds of Probability:
 11. What do you mean?
 12. Theories about probability Part V. Probability as a Measure of Belief:
 13. Personal probabilities
 14. Coherence
 15. Learning from experience Part VI. Probability as Frequency:
 16. Stability
 17. Normal approximations
 18. Significance
 19. Confidence and inductive behaviour Part VII. Probability Applied to Philosophy:
 20. The philosophical problem of induction
 21. Learning from experience as an evasion of the problem
 22. Inductive behaviour as an evasion of the problem.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521775014 20160528
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7. Stochastic causality [2001]
 Stanford, Calif. : CSLI, c2001.
 Description
 Book — xii, 275 p. : ill. ; 24 cm.
 Summary

The papers collected here focus on probabilistic causality, addressing topics such as the search for casual mechanisms, epistemic and metaphysical views of causality, Baesian nets and causal dependance, and causation in the special sciences. The emphasis is on stochastic processes, however.
(source: Nielsen Book Data) 9781575863221 20160528
The papers collected here focus on probabilistic causality, addressing topics such as the search for causal mechanisms, epistemic and metaphysical views of causality, Bayesian nets and causal dependence, and causation in the special sciences. Some papers stress the statistical analysis of probabilistic data; others address causal issues in physics, with an emphasis on physical processes that are also probabilistic  ie. stochastic processes.
(source: Nielsen Book Data) 9781575863214 20160528
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Green Library, Philosophy Library (Tanner)
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Find it Jonsson Social Sciences Reading Room: CSLI publications  
BD541 .S68 2001  Unknown 
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BD541 .S68 2001  Unknown 
 Pearl, Judea.
 Cambridge ; New York : Cambridge University Press, 2000.
 Description
 Book — xvi, 384 p. : ill. ; 26 cm.
 Summary

 1. Introduction to probabilities, graphs, and causal models
 2. A theory of inferred causation
 3. Causal diagrams and the identification of causal effects
 4. Actions, plans, and direct effects
 5. Causality and structural models in the social sciences
 6. Simpson's paradox, confounding, and collapsibility
 7. Structural and counterfactual models
 8. Imperfect experiments: bounds and counterfactuals
 9. Probability of causation: interpretation and identification Epilogue: the art and science of cause and effect.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521773621 20160528
Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields.
(source: Nielsen Book Data) 9780521895606 20160528
Green Library, Philosophy Library (Tanner)
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BD541 .P43 2000  Unknown 
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9. Philosophical theories of probability [2000]
 Gillies, Donald, 1944
 London ; New York : Routledge, 2000.
 Description
 Book — xiv, 223 p. : ill. ; 24 cm.
 Summary

 1. Introductory Survey of the Interpretations. Some Historical Background.
 2. The Classical Theory
 3. The Logical Theory
 4. The Subjective Theory
 5. The Frequency Theory
 6. The Propensity Theory: (i) General Survey
 7. The Propensity Theory: (ii) Development of a Particular Version
 8. Intersubjective Probability and Pluralist Views of Probability
 9. An Example of Pluralism. Differences between the Natural and Social Sciences.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780415182768 20160527
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BC141 .G55 2000  Unknown 
 Guttmann, Y. M. (Yair M.), 1957
 Cambridge, U.K. ; New York : Cambridge University Press, 1999.
 Description
 Book — xi, 267 p. ; 24 cm.
 Summary

 Introduction
 1. The NeoLaplacian approach to statistical mechanics
 2. Subjectivism and the Ergodic approach
 3. The Haar measure
 4. Measure and topology in statistical mechanics
 5. Three solutions
 Appendix I: mathematical preliminaries
 Appendix II: on the foundations of probability
 Appendix III: probability in nonequilibrium statistical mechanics Author index Subject index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521621281 20160528
Philosophy Library (Tanner), SAL3 (offcampus storage)
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QC174.85 .P76 G88 1999  Unknown 
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11. Statistical evidence : a likelihood paradigm [1997]
 Royall, Richard M.
 London ; New York : Chapman & Hall, c1997.
 Description
 Book — ix, 191 p. : ill. ; 22 cm.
 Summary

 The First Principle Introduction The Law of Likelihood Three Questions Towards Verification Relativity of Evidence Strength of Evidence Counterexamples Testing Simple Hypotheses Composite Hypotheses Another Counterexample Irrelevance of the Sample Space The Likelihood Principle Evidence and Uncertainty Summary Exercises NeymanPearson Theory Introduction NeymanPearson Statistical Theory Evidential Interpretation of Results of NeymanPearson Decision Procedures NeymanPearson Hypothesis Testing in Planning Experiments: Choosing the Sample Size Summary Exercises Fisherian Theory Introduction A Method for Measuring Statistical Evidence: The Test of Significance The Rationale for Significance Tests Troubles with pValues Rejection Trials A Sample of Interpretations The Illogic of Rejection Trials Confidence Sets from Rejection Trials Alternative Hypothesis in Science Summary Paradigms for Statistics Introduction Three Paradigms An Alternative Paradigm Probabilities of Weak and Misleading Evidence: Normal Distribution Mean Understanding the Likelihood Paradigm Evidence about a Probability: Planning a Clinical Trial and Interpreting the Results Summary Exercises Resolving the Old Paradoxes Introduction Why is Power of Only 0.80 OK? Peeking at Data Repeated Tests Testing More than One Hypothesis What's Wrong with OneSIded Tests? Must the Significance Level be Predetermined? And is the Strength of Evidence Limited by the Researcher's Expectations? Summary Looking at Likelihoods Introduction Evidence about Hazard Rates in Two Factories Evidence about an Odds Ration A Standardized Mortality Rate Evidence about a Finite Population Total Determinants of Plans to Attend College Evidence about the Probabilities in a 2x2x2x2 Table Evidence from a Community Intervention Study of Hypertension Effects of Sugars on Growth of Pea Sections: Analysis of Variance Summary Exercises Nuisance Parameters Introduction Orthogonal Parameters Marginal Likelihoods Conditional Likelihoods Estimated Likelihoods Profile Likelihoods Synthetic Conditional Likelihoods Summary Exercises Bayesian Statistical Inference Introduction Bayesian Statistical Models Subjectivity in Bayesian Models The Trouble with Bayesian Statistics Are Likelihood Methods Bayesian? Objective Bayesian Inference Bayesian Integrated Likelihoods Summary Appendix: The Paradox of the Ravens.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780412044113 20160528
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Philosophy Library (Tanner), Science Library (Li and Ma)
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QA276.8 .R69 1997  Unknown 
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QA276.8 .R69 1997  Unknown 
12. Patrick Suppes, scientific philosopher [1994  ]
 Dordrecht ; Boston : Kluwer Academic, c1994
 Description
 Book — v. : ill. ; 23 cm.
 Summary

 Volume
 1: Introduction P. Humphreys.
 Part 1: Probability. Some Contributions to Formal Theory of Probability K. Popper, D. Miller. Elementary NonArchimedean Representations of Probability for Decision Theory and Games P.J. Hammond. Random Sequences and Hypotheses Tests R. Chuaqui. Changing Probability Judgements I. Levi. Upper and Lower Probability T.L. Fine. Some Connections between Epistemic Logic and the Theory of Nonadditive Probability P. Mongin. On the Properties of Conditional Independence W. Spohn. Qualitative Probabilities Revisited Z. Domotor. The Monks' Vote: a Dialogue on Unidimensional Probabilistic Geometry J.C. Falmagne. Part II: Probabilistic Probabilistic Causation without Probability P.W. Holland. Causal Tendency, Necessitivity and Sufficientivity: an Updated Review I.J. Good. Practical Causal Generalizations E.W. Adams. In Place of Regression Glymour, P. Spirtes, R. Scheines. Testing Probabilistic Causality D. Costantini. Psychologistic Aspects of Suppes' Definition of Causality P. Legrenzi, M. Sonino.
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 Volume
 3: Part VI: Philosophy of Language and Logic. Patrick Suppes' Contribution to the Philosophy of Language D. Follesdal. Open Problems in Relational Grammar M. Bottner. A VariableFree Logic for Anaphora W.C. Purdy. Is Snow White? J. Moravcsik. Can there be Reasons for Putting Limitations on Classical Logic? P. Weingartner. Quantum Logic as a Logic of Identification J. Hintikka, I. Halonen. Logic and Probability in Quantum Mechanics M.L. dalla Chiara, R. Giuntini. Part VII: Learning Theory, Action Theory, and Robotics. From StimulusSampling to ArraySimilarity Theory W.K. Estes. Action as Seeing to it that Something is the Case R. Tuomela. (Part contents).
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780792325529 20160528
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Q175 .P3425 1994 V.1  Unknown 
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 Cambridge ; New York : Cambridge University Press, 1994.
 Description
 Book — 207 p. : ill. ; 24 cm.
 Summary

 List of contributors Introduction
 1. Some questions about Adams' conditionals Patrick Suppes
 2. Adams conditionals Brian Skyrms
 3. Letter to Brian Skyrms Robert Stalnaker
 4. Conditionals as random variables Robert Stalnaker and Richard Jeffrey
 5. From Adams' conditionals to default expressions, causal conditionals, and counterfactuals Judea Pearl
 6. The hypothesis of the conditional construal of conditional probability Alan Hajek and Ned Hall
 7. Triviality on the cheap? Alan Hajek
 8. Back in the CCCP Ned Hall
 9. The HowsonUrbach proofs of Bayesian principles Charles S. Chihara
 10. Learning the impossible Vann McGee
 11. A brief survey of Adams' contributions to philosophy Patrick Suppes Publications of Ernest W. Adams.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521453592 20160528
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14. Likelihood [1992]
 Edwards, A. W. F. (Anthony William Fairbank), 1935
 Expanded ed.  Baltimore : Johns Hopkins University Press, c1992.
 Description
 Book — xix, 275 p. : ill. ; 23 cm.
 Summary

 Prologue on probability the concept of likelihood support Bayes' theorem and inverse probability maximum support  the method of maximum likelihood the method of support for several paramters expected information and the distribution of evaluates application in anomalous cases support tests miscellaneous topics. Appendices: a problem in the doctrine of chances the history of likelihood fiducial distributions the likelihood treatment of linear regression R.A. Fisher's work on statistical inference.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780801844454 20160527
Assuming only a basic knowledge of probability theory, the author sets out to reconstruct a consistent theory of statistical inference in science. Using a likelihood approach, he explores estimation, tests of significance, randomization, experimental design and other statistical topics.
(source: Nielsen Book Data) 9780801844430 20160528
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Q175 .E34 1992  Unknown 
15. Nature's capacities and their measurement [1989]
 Cartwright, Nancy.
 Oxford : Clarendon Press ; New York : Oxford University Press, 1989.
 Description
 Book — x, 268 p. : ill. ; 24 cm.
 Summary

 Part 1 How to get causes from probabilities: determining causal structure inus conditions causes and probabilities in linear models.
 Part 2 No causes in, no causes out: causes at work in mathematical physics new knowledge requires old knowledge how causal reasoning succeeds discovering causal structure  can the hypotheticodeductive method work?
 Part 3 Singular causes first: where singular causes enter when causes are probabilistic More in favour of singular causes singular causes in, singular causes out.
 Part 4 Capacities: why should increases in probability recur? forecasting and the stability of capacities beyond modality Mill in defence of capacities.
 Part 5 Abstract and concrete: idealization and the need for capacities abstractions versus symbolic representations what do abstract laws say? concreteness and causal structure.
 Part 6 What econometrics can teach quantum physics  causality and the Bell inequality: Bell's inequality a general commoncause criterion for the EPR experiment quantum realism and the factorizability condition a commoncause model for EPR quantum mechanics and its causal structure factorizability and the propagation of causes. Appendices: a more general commoncause model for EPR do quantum causes propagate? propagation, effectlocality and completeness  a comparison.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780198244776 20160527
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16. Causation, chance, and credence : proceedings of the Irvine Conference on Probability and Causation [1988  ]
 Irvine Conference on Probability and Causation (1985 : University of California, Irvine)
 Dordrecht ; Boston : Kluwer Academic Publishers, c1988
 Description
 Book — v. ; 23 cm.
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 Irvine Conference on Probability and Causation (1985 : University of California, Irvine)
 Dordrecht ; Boston : Kluwer Academic Publishers, c1988.
 Description
 Book — xix, 252 p. ; 23 cm.
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BC141 .I78 1985 V.2  Unknown 
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BC141 .I78 1985 V.2  Available 
 Dordrecht ; Boston : D. Reidel Pub. Co. ; Norwell, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, c1988.
 Description
 Book — xvii, 353 p. : ill. ; 23 cm.
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Q175.3 .P758 1988  Unknown 
 Dordrecht ; Boston : D. Reidel ; Norwell, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, c1987.
 Description
 Book — xxv, 329 p. : ill. ; 23 cm.
 Online
20. Foundations of statistical inference [1987]
 Dordrecht ; Boston : D. Reidel ; Norwell, MA, U.S.A. : Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, c1987.
 Description
 Book — xvii, 287 p. : ill. ; 23 cm.
 Online