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Subjective and objective Bayesian statistics [[electronic resource] ] : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.]
| Subjective and objective Bayesian statistics [[electronic resource] ] : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.] |
| Autore | Press S. James |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2003 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 519.542 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Bayesian statistical decision theory |
| ISBN |
1-282-30766-5
9786612307669 0-470-31710-8 0-470-31794-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Subjective and Objective Bayesian Statistics Principles, Models, and Applications; CONTENTS; Preface; Preface to the First Edition; A Bayesian Hall of Fame; PART I. FOUNDATIONS AND PRINCIPLES; 1. Background; 1.1 Rationale for Bayesian Inference and Prelirmnary Views of Bayes' Theorem; 1.2 Example: Observing a Desired Experimental Effect; 1.3 Thomas Bayes; 1.4 Brief Descriptions of the Chapters; summary; Exercises; Further Reading; 2. A Bayesian Perspective on Probability; 2.1 Introduction; 2.2 Types of Probability; 2.2.1 Axiom Systems; 2.2.2 Frequency and Long-Run Probability
2.2.3 Logical Probability2.2.4 Kolmogorov Axiom System of Frequency Probability; 2.2.5 Savage System of Axioms of Subjective Probability; 2.2.6 Rényi Axiom System of Probability; 2.3 Coherence; 2.3.1 Example of Incoherence; 2.4 Operationalizing Subjective Probability Beliefs; 2.4.1 Example of Subjective Probability Definition and Operationalization; 2.5 Calibration of Probability Assessors; 2.6 Comparing Probability Definitions; Summary; Complement to Chapter 2 The Axiomatic Foundation of Decision making of L. J. Savage; Utility Functions; Exercises; Further Reading 3. The Likelihood Function3.1 Introduction; 3.2 Likelihood Function; 3.3 Likelihood Principle; 3.4 Likelihood Principle and Conditioning; 3.5 Likelihood and Bayesian Inference; 3.6 Development of the Likelihood Function Using Histograms and Other Graphical Methods; summary; Exercises; Further Reading; 4. Bayeds' Theorem; 4.1 Introduction; 4.2 General Form of Bayes' Theorem for Events; 4.2.1 Bayes' Theorem for Complementary Events; 4.2.2 Prior Probabilities; 4.2.3 Posterior Probabilities; 4.2.4 Odds Ratios; Example 4.1 Bayes' Theorem for Events: DNA Fingerprinting 4.3 Bayes' Theorem for Discrete Data and Discrete Parameter4.3.1 Interpretation of Bayes' Theorem for Discrete Data and Discrete Parameter; Example 4.2 Quality Control in Manufacturing: Discrete Data and Discrete Parameter (Inference About a Proportion); 4.3.2 Bayes' Theorem for Discrete Data and Discrete Models; 4.4 Bayes' Theorem for Continuous Data and Discrete Parameter; 4.4.1 Interpretation of Bayes' Theorem for Continuous Data and Discrete Parameter Example 4.3 Infming the Section of a Class from which Student was Selected: Continuous Data and Discrcte Parameter (Choosing from a Discrete Set of Models)4.5 Bayes' Theorem for Discrete Data and Continuous Parameter; Example 4.4 Quality Control in Manufacturing: Discrete Data and Continuous Parameter; 4.6 Baycs' Theorem for Continuous Data and Continuous Parameter; Example 4.5 Normal Data: Unknown Mean, Known Variance; Example 4.6 Normal Data: Unknown Mean, Unknown Variance; Summary; Exercises; Further Reading; Complement to Chapter 4: Heights of the Standard Normal Density 5. Prior Distributions |
| Record Nr. | UNINA-9910139869503321 |
Press S. James
|
||
| Hoboken, N.J., : Wiley-Interscience, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Subjective and objective Bayesian statistics [[electronic resource] ] : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.]
| Subjective and objective Bayesian statistics [[electronic resource] ] : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.] |
| Autore | Press S. James |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2003 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 519.542 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Bayesian statistical decision theory |
| ISBN |
1-282-30766-5
9786612307669 0-470-31710-8 0-470-31794-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Subjective and Objective Bayesian Statistics Principles, Models, and Applications; CONTENTS; Preface; Preface to the First Edition; A Bayesian Hall of Fame; PART I. FOUNDATIONS AND PRINCIPLES; 1. Background; 1.1 Rationale for Bayesian Inference and Prelirmnary Views of Bayes' Theorem; 1.2 Example: Observing a Desired Experimental Effect; 1.3 Thomas Bayes; 1.4 Brief Descriptions of the Chapters; summary; Exercises; Further Reading; 2. A Bayesian Perspective on Probability; 2.1 Introduction; 2.2 Types of Probability; 2.2.1 Axiom Systems; 2.2.2 Frequency and Long-Run Probability
2.2.3 Logical Probability2.2.4 Kolmogorov Axiom System of Frequency Probability; 2.2.5 Savage System of Axioms of Subjective Probability; 2.2.6 Rényi Axiom System of Probability; 2.3 Coherence; 2.3.1 Example of Incoherence; 2.4 Operationalizing Subjective Probability Beliefs; 2.4.1 Example of Subjective Probability Definition and Operationalization; 2.5 Calibration of Probability Assessors; 2.6 Comparing Probability Definitions; Summary; Complement to Chapter 2 The Axiomatic Foundation of Decision making of L. J. Savage; Utility Functions; Exercises; Further Reading 3. The Likelihood Function3.1 Introduction; 3.2 Likelihood Function; 3.3 Likelihood Principle; 3.4 Likelihood Principle and Conditioning; 3.5 Likelihood and Bayesian Inference; 3.6 Development of the Likelihood Function Using Histograms and Other Graphical Methods; summary; Exercises; Further Reading; 4. Bayeds' Theorem; 4.1 Introduction; 4.2 General Form of Bayes' Theorem for Events; 4.2.1 Bayes' Theorem for Complementary Events; 4.2.2 Prior Probabilities; 4.2.3 Posterior Probabilities; 4.2.4 Odds Ratios; Example 4.1 Bayes' Theorem for Events: DNA Fingerprinting 4.3 Bayes' Theorem for Discrete Data and Discrete Parameter4.3.1 Interpretation of Bayes' Theorem for Discrete Data and Discrete Parameter; Example 4.2 Quality Control in Manufacturing: Discrete Data and Discrete Parameter (Inference About a Proportion); 4.3.2 Bayes' Theorem for Discrete Data and Discrete Models; 4.4 Bayes' Theorem for Continuous Data and Discrete Parameter; 4.4.1 Interpretation of Bayes' Theorem for Continuous Data and Discrete Parameter Example 4.3 Infming the Section of a Class from which Student was Selected: Continuous Data and Discrcte Parameter (Choosing from a Discrete Set of Models)4.5 Bayes' Theorem for Discrete Data and Continuous Parameter; Example 4.4 Quality Control in Manufacturing: Discrete Data and Continuous Parameter; 4.6 Baycs' Theorem for Continuous Data and Continuous Parameter; Example 4.5 Normal Data: Unknown Mean, Known Variance; Example 4.6 Normal Data: Unknown Mean, Unknown Variance; Summary; Exercises; Further Reading; Complement to Chapter 4: Heights of the Standard Normal Density 5. Prior Distributions |
| Record Nr. | UNINA-9910830030103321 |
|
Press S. James
|
||
| Hoboken, N.J., : Wiley-Interscience, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Subjective and objective Bayesian statistics : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.]
| Subjective and objective Bayesian statistics : principles, models, and applications / / S. James Press ; with contributions by Siddhartha Chib ... [et al.] |
| Autore | Press S. James |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2003 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 519.5/42 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Bayesian statistical decision theory |
| ISBN |
9786612307669
9781282307667 1282307665 9780470317105 0470317108 9780470317945 0470317949 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Subjective and Objective Bayesian Statistics Principles, Models, and Applications; CONTENTS; Preface; Preface to the First Edition; A Bayesian Hall of Fame; PART I. FOUNDATIONS AND PRINCIPLES; 1. Background; 1.1 Rationale for Bayesian Inference and Prelirmnary Views of Bayes' Theorem; 1.2 Example: Observing a Desired Experimental Effect; 1.3 Thomas Bayes; 1.4 Brief Descriptions of the Chapters; summary; Exercises; Further Reading; 2. A Bayesian Perspective on Probability; 2.1 Introduction; 2.2 Types of Probability; 2.2.1 Axiom Systems; 2.2.2 Frequency and Long-Run Probability
2.2.3 Logical Probability2.2.4 Kolmogorov Axiom System of Frequency Probability; 2.2.5 Savage System of Axioms of Subjective Probability; 2.2.6 Rényi Axiom System of Probability; 2.3 Coherence; 2.3.1 Example of Incoherence; 2.4 Operationalizing Subjective Probability Beliefs; 2.4.1 Example of Subjective Probability Definition and Operationalization; 2.5 Calibration of Probability Assessors; 2.6 Comparing Probability Definitions; Summary; Complement to Chapter 2 The Axiomatic Foundation of Decision making of L. J. Savage; Utility Functions; Exercises; Further Reading 3. The Likelihood Function3.1 Introduction; 3.2 Likelihood Function; 3.3 Likelihood Principle; 3.4 Likelihood Principle and Conditioning; 3.5 Likelihood and Bayesian Inference; 3.6 Development of the Likelihood Function Using Histograms and Other Graphical Methods; summary; Exercises; Further Reading; 4. Bayeds' Theorem; 4.1 Introduction; 4.2 General Form of Bayes' Theorem for Events; 4.2.1 Bayes' Theorem for Complementary Events; 4.2.2 Prior Probabilities; 4.2.3 Posterior Probabilities; 4.2.4 Odds Ratios; Example 4.1 Bayes' Theorem for Events: DNA Fingerprinting 4.3 Bayes' Theorem for Discrete Data and Discrete Parameter4.3.1 Interpretation of Bayes' Theorem for Discrete Data and Discrete Parameter; Example 4.2 Quality Control in Manufacturing: Discrete Data and Discrete Parameter (Inference About a Proportion); 4.3.2 Bayes' Theorem for Discrete Data and Discrete Models; 4.4 Bayes' Theorem for Continuous Data and Discrete Parameter; 4.4.1 Interpretation of Bayes' Theorem for Continuous Data and Discrete Parameter Example 4.3 Infming the Section of a Class from which Student was Selected: Continuous Data and Discrcte Parameter (Choosing from a Discrete Set of Models)4.5 Bayes' Theorem for Discrete Data and Continuous Parameter; Example 4.4 Quality Control in Manufacturing: Discrete Data and Continuous Parameter; 4.6 Baycs' Theorem for Continuous Data and Continuous Parameter; Example 4.5 Normal Data: Unknown Mean, Known Variance; Example 4.6 Normal Data: Unknown Mean, Unknown Variance; Summary; Exercises; Further Reading; Complement to Chapter 4: Heights of the Standard Normal Density 5. Prior Distributions |
| Record Nr. | UNINA-9911018921203321 |
|
Press S. James
|
||
| Hoboken, N.J., : Wiley-Interscience, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The subjectivity of scientists and the Bayesian approach [[e-book] /] / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur
| The subjectivity of scientists and the Bayesian approach [[e-book] /] / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur |
| Autore | Press S. James |
| Pubbl/distr/stampa | New York, : Wiley, 2001 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 519.542 |
| Altri autori (Persone) | TanurJudith M |
| Collana | Wiley series in probability and statistics. Texts, references, and pocketbooks section |
| Soggetto topico |
Research - Methodology
Bayesian statistical decision theory Subjectivity |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-44610-3
9786613446107 1-118-15063-5 1-118-15062-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Subjectivity of Scientists and the Bayesian Approach; Contents; Preface; 1. Introduction; 2. Selecting the Scientists; 3. Some Well-Known Stories of Extreme Subjectivity; 3.1 Introduction; 3.2 Johannes Kepler; 3.3 Gregor Mendel; 3.4 Robert Millikan; 3.5 Cyril Burt; 3.6 Margaret Mead; 4. Stories of Famous Scientists; 4.1 Introduction; 4.2 Aristotle; 4.3 Galileo Galilei; 4.4 William Harvey; 4.5 Sir Isaac Newton; 4.6 Antoine Lavoisier; 4.7 Alexander von Humboldt; 4.8 Michael Faraday; 4.9 Charles Darwin; 4.10 Louis Pasteur; 4.11 Sigmund Freud; 4.12 Marie Curie; 4.13 Albert Einstein
4.14 Some Conjectures About the Scientists5. Subjectivity in Science in Modern Times: The Bayesian Approach; Appendix: References by Field of Application for Bayesian Statistical Science; Bibliography; Subject Index; Name Index |
| Record Nr. | UNINA-9910139729703321 |
|
Press S. James
|
||
| New York, : Wiley, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The subjectivity of scientists and the Bayesian approach [[e-book] /] / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur
| The subjectivity of scientists and the Bayesian approach [[e-book] /] / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur |
| Autore | Press S. James |
| Pubbl/distr/stampa | New York, : Wiley, 2001 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 519.542 |
| Altri autori (Persone) | TanurJudith M |
| Collana | Wiley series in probability and statistics. Texts, references, and pocketbooks section |
| Soggetto topico |
Research - Methodology
Bayesian statistical decision theory Subjectivity |
| ISBN |
1-283-44610-3
9786613446107 1-118-15063-5 1-118-15062-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Subjectivity of Scientists and the Bayesian Approach; Contents; Preface; 1. Introduction; 2. Selecting the Scientists; 3. Some Well-Known Stories of Extreme Subjectivity; 3.1 Introduction; 3.2 Johannes Kepler; 3.3 Gregor Mendel; 3.4 Robert Millikan; 3.5 Cyril Burt; 3.6 Margaret Mead; 4. Stories of Famous Scientists; 4.1 Introduction; 4.2 Aristotle; 4.3 Galileo Galilei; 4.4 William Harvey; 4.5 Sir Isaac Newton; 4.6 Antoine Lavoisier; 4.7 Alexander von Humboldt; 4.8 Michael Faraday; 4.9 Charles Darwin; 4.10 Louis Pasteur; 4.11 Sigmund Freud; 4.12 Marie Curie; 4.13 Albert Einstein
4.14 Some Conjectures About the Scientists5. Subjectivity in Science in Modern Times: The Bayesian Approach; Appendix: References by Field of Application for Bayesian Statistical Science; Bibliography; Subject Index; Name Index |
| Record Nr. | UNINA-9910829969703321 |
|
Press S. James
|
||
| New York, : Wiley, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The subjectivity of scientists and the Bayesian approach / / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur
| The subjectivity of scientists and the Bayesian approach / / S. James Press, Judith M. Tanur ; illustrated by Rachel D. Tanur |
| Autore | Press S. James |
| Pubbl/distr/stampa | New York, : Wiley, 2001 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 507/.2 |
| Altri autori (Persone) | TanurJudith M |
| Collana | Wiley series in probability and statistics. Texts, references, and pocketbooks section |
| Soggetto topico |
Research - Methodology
Bayesian statistical decision theory Subjectivity |
| ISBN |
9786613446107
9781283446105 1283446103 9781118150634 1118150635 9781118150627 1118150627 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Subjectivity of Scientists and the Bayesian Approach; Contents; Preface; 1. Introduction; 2. Selecting the Scientists; 3. Some Well-Known Stories of Extreme Subjectivity; 3.1 Introduction; 3.2 Johannes Kepler; 3.3 Gregor Mendel; 3.4 Robert Millikan; 3.5 Cyril Burt; 3.6 Margaret Mead; 4. Stories of Famous Scientists; 4.1 Introduction; 4.2 Aristotle; 4.3 Galileo Galilei; 4.4 William Harvey; 4.5 Sir Isaac Newton; 4.6 Antoine Lavoisier; 4.7 Alexander von Humboldt; 4.8 Michael Faraday; 4.9 Charles Darwin; 4.10 Louis Pasteur; 4.11 Sigmund Freud; 4.12 Marie Curie; 4.13 Albert Einstein
4.14 Some Conjectures About the Scientists5. Subjectivity in Science in Modern Times: The Bayesian Approach; Appendix: References by Field of Application for Bayesian Statistical Science; Bibliography; Subject Index; Name Index |
| Record Nr. | UNINA-9911018807803321 |
|
Press S. James
|
||
| New York, : Wiley, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||