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Beschreibung
A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.
A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.
Über den Autor
Bertrand S. Clarke is Chair of the Department of Statistics at the University of Nebraska, Lincoln. His research focuses on predictive statistics and statistical methodology in genomic data. He is a fellow of the American Statistical Association, serves as editor or associate editor for three journals, and has published numerous papers in several statistical fields as well as a book on data mining and machine learning.
Inhaltsverzeichnis
Part I. The Predictive View: 1. Why prediction?; 2. Defining a predictive paradigm; 3. What about modeling?; 4. Models and predictors: a bickering couple; Part II. Established Settings for Prediction: 5. Time series; 6. Longitudinal data; 7. Survival analysis; 8. Nonparametric methods; 9. Model selection; Part III. Contemporary Prediction: 10. Blackbox techniques; 11. Ensemble methods; 12. The future of prediction; References; Index.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
ISBN-13: | 9781107028289 |
ISBN-10: | 1107028280 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Clarke, Bertrand S.
Clarke, Jennifer L. |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 260 x 183 x 40 mm |
Von/Mit: | Bertrand S. Clarke (u. a.) |
Erscheinungsdatum: | 18.01.2023 |
Gewicht: | 1,413 kg |
Über den Autor
Bertrand S. Clarke is Chair of the Department of Statistics at the University of Nebraska, Lincoln. His research focuses on predictive statistics and statistical methodology in genomic data. He is a fellow of the American Statistical Association, serves as editor or associate editor for three journals, and has published numerous papers in several statistical fields as well as a book on data mining and machine learning.
Inhaltsverzeichnis
Part I. The Predictive View: 1. Why prediction?; 2. Defining a predictive paradigm; 3. What about modeling?; 4. Models and predictors: a bickering couple; Part II. Established Settings for Prediction: 5. Time series; 6. Longitudinal data; 7. Survival analysis; 8. Nonparametric methods; 9. Model selection; Part III. Contemporary Prediction: 10. Blackbox techniques; 11. Ensemble methods; 12. The future of prediction; References; Index.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
ISBN-13: | 9781107028289 |
ISBN-10: | 1107028280 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Clarke, Bertrand S.
Clarke, Jennifer L. |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 260 x 183 x 40 mm |
Von/Mit: | Bertrand S. Clarke (u. a.) |
Erscheinungsdatum: | 18.01.2023 |
Gewicht: | 1,413 kg |
Sicherheitshinweis