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Sequential methods in pattern recognition and machine learning [[electronic resource] /] / K.S. Fu
| Sequential methods in pattern recognition and machine learning [[electronic resource] /] / K.S. Fu |
| Autore | Fu K. S (King Sun), <1930-1985.> |
| Pubbl/distr/stampa | New York, : Academic Press, 1968 |
| Descrizione fisica | 1 online resource (245 p.) |
| Disciplina | 001.5/3 |
| Collana | Mathematics in science and engineering |
| Soggetto topico |
Perceptrons
Statistical decision Machine learning |
| ISBN |
1-282-29019-3
9786612290190 0-08-095559-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Sequential Methods in Pattern Recognition and Machine Learning; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 Pattern Recognition; 1.2 Deterministic Classification Techniques; 1.3 Training in Linear Classifiers; 1.4 Statistical Classification Techniques; 1.5 Sequential Decision Model for Pattern Classification; 1.6 Learning in Sequential Pattern Recognition Systems; 1.7 Summary and Further Remarks; References; Chapter 2. Feature Selection and Feature Ordering; 2.1 Feature Selection and Ordering-Information Theoretic Approach
2.2 Feature Selection and Ordering-Karhunen-Loève Expansion2.3 Illustrative Examples; 2.4 Summary and Further Remarks; References; Chapter 3. Forward Procedure for Finite Sequential Classification Using Modified Sequential Probability Ratio Test; 3.1 Introduction; 3.2 Modified Sequential Probability Ratio Test-Discrete Case; 3.3 Modified Sequential Probability Ratio Test-Continuous Case; 3.4 Procedure of Modified Generalized Sequential Probability Ratio Test; 3.5 Experiments in Pattern Classification; 3.6 Summary and Further Remarks; References Chapter 4. Backward Procedure for Finite Sequential Recognition Using Dynamic Programming4.1 Introduction; 4.2 Mathematical Formulation and Basic Functional Equation; 4.3 Reduction of Dimensionality; 4.4 Experiments in Pattern Classification; 4.5 Backward Procedure for Both Feature Ordering and Pattern Classification; 4.6 Experiments in Feature Ordering and Pattern Classification; 4.7 Use of Dynamic Programming for Feature-Subset Selection; 4.8 Suboptimal Sequential Pattern Recognition; 4.9 Summary and Further Remarks; References Chapter 5. Nonparametric Procedure in Sequential Pattern Classification5.1 Introduction; 5.2 Sequential Ranks and Sequential Ranking Procedure; 5.3 A Sequential Two-Sample Test Problem; 5.4 Nonparametric Design of Sequential Pattern Classifiers; 5.5 Analysis of Optimal Performance and a Multiclass Generalization; 5.6 Experimental Results and Discussions; 5.7 Summary and Further Remarks; References; Chapter 6. Bayesian Learning in Sequential Pattern Recognition Systems; 6.1 Supervised Learning Using Bayesian Estimation Techniques; 6.2 Nonsupervised Learning Using Bayesian Estimation Techniques 6.3 Bayesian Learning of Slowly Varying Patterns6.4 Learning of Parameters Using an Empirical Bayes Approach; 6.5 A General Model for Bayesian Learning Systems; 6.6 Summary and Further Remarks; References; Chapter 7. Learning in Sequential Recognition Systems Using Stochastic Approximation; 7.1 Supervised Learning Using Stochastic Approximation; 7.2 Nonsupervised Learning Using Stochastic Approximation; 7.3 A General Formulation of Nonsupervised Learning Systems Using Stochastic Approximation; 7.4 Learning of Slowly Time-Varying Parameters Using Dynamic Stochastic Approximation 7.5 Summary and Further Remarks |
| Record Nr. | UNINA-9910811018203321 |
Fu K. S (King Sun), <1930-1985.>
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| New York, : Academic Press, 1968 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision problems : selected concepts and portfolio safeguard case studies / / Michael Zabarankin, Stan Uryasev
| Statistical decision problems : selected concepts and portfolio safeguard case studies / / Michael Zabarankin, Stan Uryasev |
| Autore | Zabarankin Michael |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xiv, 249 pages) : illustrations |
| Disciplina | 519.542 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Statistical decision
Mathematical optimization |
| ISBN | 1-4614-8471-5 |
| Classificazione | QH 233 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Random Variables -- 2. Deviation, Risk, and Error Measures -- 3. Probabilistic Inequalities -- 4. Maximum Likelihood Method -- 5. Entropy Maximization -- 6. Regression Models -- 7. Classification -- 8. Statistical Decision Models with Risk and Deviation -- 9. Portfolio Safeguard Case Studies -- Index -- References. |
| Record Nr. | UNINA-9910299961503321 |
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Zabarankin Michael
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| New York : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke
| Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke |
| Autore | Liese Friedrich <1944-> |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina | 519.5/42 |
| Altri autori (Persone) | MiesckeKlaus-J |
| Collana | Springer series in statistics |
| Soggetto topico |
Statistical decision
Mathematical statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-95005-X
9786611950057 0-387-73194-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Models -- Tests in Models with Monotonicity Properties -- Statistical Decision Theory -- Comparison of Models, Reduction by -- Invariant Statistical Decision Models -- Large Sample Approximations of Models and Decisions -- Estimation -- Testing -- Selection. |
| Record Nr. | UNINA-9910453269603321 |
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Liese Friedrich <1944->
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| New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke
| Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke |
| Autore | Liese Friedrich <1944-> |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina | 519.5/42 |
| Altri autori (Persone) | MiesckeKlaus-J |
| Collana | Springer series in statistics |
| Soggetto topico |
Statistical decision
Mathematical statistics |
| ISBN |
1-281-95005-X
9786611950057 0-387-73194-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Models -- Tests in Models with Monotonicity Properties -- Statistical Decision Theory -- Comparison of Models, Reduction by -- Invariant Statistical Decision Models -- Large Sample Approximations of Models and Decisions -- Estimation -- Testing -- Selection. |
| Record Nr. | UNINA-9910782360603321 |
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Liese Friedrich <1944->
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| New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke
| Statistical decision theory [[electronic resource] ] : estimation, testing, and selection / / Friedrich Liese, Klaus-J. Miescke |
| Autore | Liese Friedrich <1944-> |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (695 p.) |
| Disciplina | 519.5/42 |
| Altri autori (Persone) | MiesckeKlaus-J |
| Collana | Springer series in statistics |
| Soggetto topico |
Statistical decision
Mathematical statistics |
| ISBN |
1-281-95005-X
9786611950057 0-387-73194-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistical Models -- Tests in Models with Monotonicity Properties -- Statistical Decision Theory -- Comparison of Models, Reduction by -- Invariant Statistical Decision Models -- Large Sample Approximations of Models and Decisions -- Estimation -- Testing -- Selection. |
| Record Nr. | UNINA-9910821942803321 |
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Liese Friedrich <1944->
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| New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision theory and bayesan analysis / James O. Berger
| Statistical decision theory and bayesan analysis / James O. Berger |
| Autore | Berger, James O. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York : Springer-Verlag, 1985 |
| Descrizione fisica | xvi, 617 p. ; 24 cm. |
| Disciplina | 519.542 |
| Collana | Springer series in statistics. Perspectives in statistics |
| Soggetto topico |
Bayesian statistical decision theory
Statistical decision |
| ISBN | 0387960988 |
| Classificazione |
AMS 62C
QA279.4.B46 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001372369707536 |
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Berger, James O.
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| New York : Springer-Verlag, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Statistical decision theory and related topics III . Volume 2 / / edited by Shanti S. Gupta and James O. Berger
| Statistical decision theory and related topics III . Volume 2 / / edited by Shanti S. Gupta and James O. Berger |
| Pubbl/distr/stampa | New York ; ; London, England : , : Academic Press, , 1982 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina |
519.5/42
519.542 |
| Soggetto topico | Statistical decision |
| ISBN | 1-4832-5955-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Statistical Decision Theory and Related Topics III; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; CONTENTS OF VOLUME 1; CHAPTER 1. SOME LOCALLY OPTIMAL SUBSET SELECTION RULES BASED ON RANKS; I. INTRODUCTION; II. SELECTING THE BEST POPULATION; III. COMPARISON WITH A CONTROL; REFERENCES; CHAPTER 2. CERTAIN BOUNDS ON THE CLASS OF ADMISSIBLE ESTIMATORS IN CONTINUOUS EXPONENTIAL FAMILIES; I. INTRODUCTION; II. A PRELIMINARY LEMMA; III. INADMISSIBILITY RESULTS; IV. REMARKS AND GENERALIZATIONS; ACKNOWLEDGMENT; REFERENCES
CHAPTER 3. RIDGE TYPE ESTIMATORS OF MULTINOMIAL CELL PROBABILITIESI. INTRODUCTION AND SUMMARY; II. RIDGE ESTIMATION; III. RIDGE ESTIMATORS OF p; IV. SMALL SAMPLE SITUATIONS; V. DISCUSSION; ACKNOWLEDGMENT; REFERENCES; CHAPTER 4. ASYMPTOTICALLY OPTIMAL PROCEDURES FOR SEQUENTIAL ADAPTIVE SELECTION OF THE BEST OF SEVERAL NORMAL MEANS; 1. INTRODUCTION; II. ELIMINATION PROCEDURES WITH VECTOR AT A TIME SAMPLING; III. ELIMINATION PROCEDURES WITH ADAPTIVE SAMPLING; REFERENCES; CHAPTER 5. MODEL ROBUST CONFIDENCE INTERVALS II; I. INTRODUCTION; II. CONFIDENCE INTERVAL; III. CONFIDENCE BANDS; REFERENCES CHAPTER 6. ADAPTIVE DESIGN AND THE MULTIPERIOD CONTROL PROBLEMI. INTRODUCTION AND SUMMARY; II. BAYES SOLUTION TO THE MULTIPERIOD CONTROL PROBLEM IN THE CASE OF KNOWN β; REFERENCES; CHAPTER 7. ON THE RISK OF BAYES ESTIMATES; I. INTRODUCTION; II. MAIN ASSUMPTIONS AND GENERAL INEQUALITIES; III. TESTS BETWEEN HELLINGER BALLS; IV. BOUNDS ON BAYES RISKS; V. COMPARISON WITH OTHER ESTIMATES; REFERENCES; CHAPTER 8. THE MINIMAL· COMPLETE CLASS OF PROCEDURES FOR COMBINING INDEPENDENT NONCENTRAL F-TESTS; I. INTRODUCTION; II. COMPLETE CLASS RESULTS; III. THE CONSTANT r(v, μ) IV. PRELIMINARIES FOR THE NONPARAMETRIC TESTSV. INVERSE NORMAL PROCEDURE (1.10); VI. INVERSE LOGISTIC PROCEDURE (1.11); VII. SUMS OF pi 's (1.12); VIII. FISHER'S PARAMETRIC TEST (1. 3); IX. THE TEST (1.14); APPENDIX: COMPUTATIONS; REFERENCES; CHAPTER 9. RIDGE ESTIMATORS AS CONSTRAINED GENERALIZED LEAST SQUARES; I. INTRODUCTION; II. CONVEXITY OF THE GENERALIZED SUM OF SQUARES AND CONCAVITY OF THE CONSTRAINT; III. CONSTRAINED OPTIMIZATION; IV. CONCLUDING REMARKS; ACKNOWLEDGEMENT; REFERENCES CHAPTER 10. BOUNDS FOR A K-FOLD INTEGRAL FOR LOCATION AND SCALE PARAMETER MODELS WITH APPLICATIONS TO STATISTICAL RANKING AND SELECTION PROBLEMSI. INTRODUCTION; II. THE MAIN BOUNDS; III. APPROXIMATIONS; IV. LIMITING DISTRIBUTION OF THE ESTIMATOR OF THE PCS FOR THE LOCATION PARAMETER MODEL; V. BOUNDS ON THE PROBABILITY FUNCTION OF A CORRECT COMPLETE RANKING; APPENDIX TO SECTION 3; REFERENCES; CHAPTER 11. THE ASYMPTOTIC DISTRIBUTION THEORY OF ONE SAMPLE SIGNED RANK STATISTIC; I. INTRODUCTION; II. PRELIMINARIES; III. THE ASYMPTOTIC NORMALITY OF SN+; IV. THE RATE OF CONVERGENCE; ACKNOWLEDGMENT REFERENCES |
| Record Nr. | UNINA-9910786641903321 |
| New York ; ; London, England : , : Academic Press, , 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical decision theory and related topics III . Volume 2 / / edited by Shanti S. Gupta and James O. Berger
| Statistical decision theory and related topics III . Volume 2 / / edited by Shanti S. Gupta and James O. Berger |
| Pubbl/distr/stampa | New York ; ; London, England : , : Academic Press, , 1982 |
| Descrizione fisica | 1 online resource (551 p.) |
| Disciplina |
519.5/42
519.542 |
| Soggetto topico | Statistical decision |
| ISBN | 1-4832-5955-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Statistical Decision Theory and Related Topics III; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; CONTENTS OF VOLUME 1; CHAPTER 1. SOME LOCALLY OPTIMAL SUBSET SELECTION RULES BASED ON RANKS; I. INTRODUCTION; II. SELECTING THE BEST POPULATION; III. COMPARISON WITH A CONTROL; REFERENCES; CHAPTER 2. CERTAIN BOUNDS ON THE CLASS OF ADMISSIBLE ESTIMATORS IN CONTINUOUS EXPONENTIAL FAMILIES; I. INTRODUCTION; II. A PRELIMINARY LEMMA; III. INADMISSIBILITY RESULTS; IV. REMARKS AND GENERALIZATIONS; ACKNOWLEDGMENT; REFERENCES
CHAPTER 3. RIDGE TYPE ESTIMATORS OF MULTINOMIAL CELL PROBABILITIESI. INTRODUCTION AND SUMMARY; II. RIDGE ESTIMATION; III. RIDGE ESTIMATORS OF p; IV. SMALL SAMPLE SITUATIONS; V. DISCUSSION; ACKNOWLEDGMENT; REFERENCES; CHAPTER 4. ASYMPTOTICALLY OPTIMAL PROCEDURES FOR SEQUENTIAL ADAPTIVE SELECTION OF THE BEST OF SEVERAL NORMAL MEANS; 1. INTRODUCTION; II. ELIMINATION PROCEDURES WITH VECTOR AT A TIME SAMPLING; III. ELIMINATION PROCEDURES WITH ADAPTIVE SAMPLING; REFERENCES; CHAPTER 5. MODEL ROBUST CONFIDENCE INTERVALS II; I. INTRODUCTION; II. CONFIDENCE INTERVAL; III. CONFIDENCE BANDS; REFERENCES CHAPTER 6. ADAPTIVE DESIGN AND THE MULTIPERIOD CONTROL PROBLEMI. INTRODUCTION AND SUMMARY; II. BAYES SOLUTION TO THE MULTIPERIOD CONTROL PROBLEM IN THE CASE OF KNOWN β; REFERENCES; CHAPTER 7. ON THE RISK OF BAYES ESTIMATES; I. INTRODUCTION; II. MAIN ASSUMPTIONS AND GENERAL INEQUALITIES; III. TESTS BETWEEN HELLINGER BALLS; IV. BOUNDS ON BAYES RISKS; V. COMPARISON WITH OTHER ESTIMATES; REFERENCES; CHAPTER 8. THE MINIMAL· COMPLETE CLASS OF PROCEDURES FOR COMBINING INDEPENDENT NONCENTRAL F-TESTS; I. INTRODUCTION; II. COMPLETE CLASS RESULTS; III. THE CONSTANT r(v, μ) IV. PRELIMINARIES FOR THE NONPARAMETRIC TESTSV. INVERSE NORMAL PROCEDURE (1.10); VI. INVERSE LOGISTIC PROCEDURE (1.11); VII. SUMS OF pi 's (1.12); VIII. FISHER'S PARAMETRIC TEST (1. 3); IX. THE TEST (1.14); APPENDIX: COMPUTATIONS; REFERENCES; CHAPTER 9. RIDGE ESTIMATORS AS CONSTRAINED GENERALIZED LEAST SQUARES; I. INTRODUCTION; II. CONVEXITY OF THE GENERALIZED SUM OF SQUARES AND CONCAVITY OF THE CONSTRAINT; III. CONSTRAINED OPTIMIZATION; IV. CONCLUDING REMARKS; ACKNOWLEDGEMENT; REFERENCES CHAPTER 10. BOUNDS FOR A K-FOLD INTEGRAL FOR LOCATION AND SCALE PARAMETER MODELS WITH APPLICATIONS TO STATISTICAL RANKING AND SELECTION PROBLEMSI. INTRODUCTION; II. THE MAIN BOUNDS; III. APPROXIMATIONS; IV. LIMITING DISTRIBUTION OF THE ESTIMATOR OF THE PCS FOR THE LOCATION PARAMETER MODEL; V. BOUNDS ON THE PROBABILITY FUNCTION OF A CORRECT COMPLETE RANKING; APPENDIX TO SECTION 3; REFERENCES; CHAPTER 11. THE ASYMPTOTIC DISTRIBUTION THEORY OF ONE SAMPLE SIGNED RANK STATISTIC; I. INTRODUCTION; II. PRELIMINARIES; III. THE ASYMPTOTIC NORMALITY OF SN+; IV. THE RATE OF CONVERGENCE; ACKNOWLEDGMENT REFERENCES |
| Record Nr. | UNINA-9910812510603321 |
| New York ; ; London, England : , : Academic Press, , 1982 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics & risk modeling : with applications in finance and insurance
| Statistics & risk modeling : with applications in finance and insurance |
| Pubbl/distr/stampa | München : , : Wissenschaftsverlag, , 2011- |
| Soggetto topico |
Mathematical statistics
Statistical decision Stochastic processes |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2196-7040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Statistics and risk modeling |
| Record Nr. | UNISA-996231342503316 |
| München : , : Wissenschaftsverlag, , 2011- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Statistics & risk modeling : with applications in finance and insurance
| Statistics & risk modeling : with applications in finance and insurance |
| Pubbl/distr/stampa | München : , : Wissenschaftsverlag, , 2011- |
| Soggetto topico |
Mathematical statistics
Statistical decision Stochastic processes |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2196-7040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Statistics and risk modeling |
| Record Nr. | UNINA-9910449240903321 |
| München : , : Wissenschaftsverlag, , 2011- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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