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Alla Petukhina is a Lecturer at the School of Computing, Communication and Business, HTW Berlin, Germany. She was a postdoctoral researcher at the School of Business and Economics at the Humboldt-Universität zu Berlin, where she obtained her PhD in Statistics in 2018. Her research interests include asset allocation strategies, regression shrinkage techniques, quantiles and expectiles, history of statistics and investment strategies with crypto-currencies.
Presents methods and applications of time series analysis and forecasting using Python
Addresses common statistical methods as well as modern machine learning procedures
Provides a step-by-step demonstration of the Python code, and exercises for each chapter
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
x
372 S. 3 s/w Illustr. 246 farbige Illustr. 372 p. 249 illus. 246 illus. in color. |
ISBN-13: | 9783031135835 |
ISBN-10: | 3031135830 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Petukhina, Alla
Huang, Changquan |
Auflage: | 1st edition 2022 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 27 mm |
Von/Mit: | Alla Petukhina (u. a.) |
Erscheinungsdatum: | 20.10.2022 |
Gewicht: | 0,74 kg |
Alla Petukhina is a Lecturer at the School of Computing, Communication and Business, HTW Berlin, Germany. She was a postdoctoral researcher at the School of Business and Economics at the Humboldt-Universität zu Berlin, where she obtained her PhD in Statistics in 2018. Her research interests include asset allocation strategies, regression shrinkage techniques, quantiles and expectiles, history of statistics and investment strategies with crypto-currencies.
Presents methods and applications of time series analysis and forecasting using Python
Addresses common statistical methods as well as modern machine learning procedures
Provides a step-by-step demonstration of the Python code, and exercises for each chapter
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
x
372 S. 3 s/w Illustr. 246 farbige Illustr. 372 p. 249 illus. 246 illus. in color. |
ISBN-13: | 9783031135835 |
ISBN-10: | 3031135830 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Petukhina, Alla
Huang, Changquan |
Auflage: | 1st edition 2022 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 27 mm |
Von/Mit: | Alla Petukhina (u. a.) |
Erscheinungsdatum: | 20.10.2022 |
Gewicht: | 0,74 kg |