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Development of modern statistics and related topics [[electronic resource] ] : in celebration of Prof. Yaoting Zhang's 70th birthday / / edited by Heping Zhang, Jian Huang
Development of modern statistics and related topics [[electronic resource] ] : in celebration of Prof. Yaoting Zhang's 70th birthday / / edited by Heping Zhang, Jian Huang
Pubbl/distr/stampa River Edge, NJ, : World Scientific Pub. Co., c2003
Descrizione fisica 1 online resource (301 p.)
Disciplina 519.5
Altri autori (Persone) ZhangYaoting <1933->
ZhangHeping
HuangJian
Collana Series in biostatistics
Soggetto topico Statistics
Soggetto genere / forma Electronic books.
ISBN 1-281-95609-0
9786611956097
981-279-670-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents ; Preface ; An Interview with Professor Yaoting Zhang ; Growing Up ; Professor Paolu Hsu and Statistics ; During the 'Culture Revolution' ; After 'Culture Revolution' ; I am Proud of My Students ; Significance Level in Interval Mapping ; 1. Introduction ; 2. Known Results
3. A Combined Approximation 4. The Interval Mapping Process in the Gaussian Limit ; 5. Likelihood Ratio Transformation ; 6. Rice-Davies Approximation ; 7. Evaluation of (9) ; 8. Remarks ; References ; An Asymptotic Pythagorean Identity ; 1. Introduction
2. Pythagorean Identity for Variance Calculation 3. Examples ; 4. Remarks ; References ; A Monte Carlo Gap Test in Computing HPD Regions ; 1. Introduction ; 2. Current Monte Carlo Methods ; 3. Monte Carlo Gap Tests ; 4. A Simulation Study ; 5. Concluding Remarks ; References
Estimating Restricted Normal Means Using the EM-type Algorithms and IBF Sampling 1. Introduction ; 2. Nonproduct versus Product Parameter Space ; 3. Estimation When Variances Are Known ; 4. Estimation when variances are Unknown ; 5. Applications ; 6. Discussion ; References
An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs 1. An Overview ; 2. The Student-t Distribution ; 3. The EM Algorithm ; 4. The DA Algorithm ; 5. The PX-EM Algorithm ; 6. The PX-DA Algorithm ; 7. The CA-DA Algorithm ; 8. Discussion ; References
Large Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance
Record Nr. UNINA-9910454078503321
River Edge, NJ, : World Scientific Pub. Co., c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Development of modern statistics and related topics [[electronic resource] ] : in celebration of Prof. Yaoting Zhang's 70th birthday / / edited by Heping Zhang, Jian Huang
Development of modern statistics and related topics [[electronic resource] ] : in celebration of Prof. Yaoting Zhang's 70th birthday / / edited by Heping Zhang, Jian Huang
Pubbl/distr/stampa River Edge, NJ, : World Scientific Pub. Co., c2003
Descrizione fisica 1 online resource (301 p.)
Disciplina 519.5
Altri autori (Persone) ZhangYaoting <1933->
ZhangHeping
HuangJian
Collana Series in biostatistics
Soggetto topico Statistics
ISBN 1-281-95609-0
9786611956097
981-279-670-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents ; Preface ; An Interview with Professor Yaoting Zhang ; Growing Up ; Professor Paolu Hsu and Statistics ; During the 'Culture Revolution' ; After 'Culture Revolution' ; I am Proud of My Students ; Significance Level in Interval Mapping ; 1. Introduction ; 2. Known Results
3. A Combined Approximation 4. The Interval Mapping Process in the Gaussian Limit ; 5. Likelihood Ratio Transformation ; 6. Rice-Davies Approximation ; 7. Evaluation of (9) ; 8. Remarks ; References ; An Asymptotic Pythagorean Identity ; 1. Introduction
2. Pythagorean Identity for Variance Calculation 3. Examples ; 4. Remarks ; References ; A Monte Carlo Gap Test in Computing HPD Regions ; 1. Introduction ; 2. Current Monte Carlo Methods ; 3. Monte Carlo Gap Tests ; 4. A Simulation Study ; 5. Concluding Remarks ; References
Estimating Restricted Normal Means Using the EM-type Algorithms and IBF Sampling 1. Introduction ; 2. Nonproduct versus Product Parameter Space ; 3. Estimation When Variances Are Known ; 4. Estimation when variances are Unknown ; 5. Applications ; 6. Discussion ; References
An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs 1. An Overview ; 2. The Student-t Distribution ; 3. The EM Algorithm ; 4. The DA Algorithm ; 5. The PX-EM Algorithm ; 6. The PX-DA Algorithm ; 7. The CA-DA Algorithm ; 8. Discussion ; References
Large Deviations and Deviation Inequality for Kernel Density Estimator in L1(RD)-distance
Record Nr. UNINA-9910782283403321
River Edge, NJ, : World Scientific Pub. Co., c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui