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Statistical learning for big dependent data / Daniel Peña, Ruey S. Tsay.
- Format:
- Book
- Author/Creator:
- Peña, Daniel, 1948- author.
- Tsay, Ruey S., 1951- author.
- Series:
- Wiley series in probability and statistics
- Language:
- English
- Subjects (All):
- Big data--Mathematics.
- Big data.
- Time-series analysis.
- Data mining--Statistical methods.
- Data mining.
- Forecasting--Statistical methods.
- Forecasting.
- Mathematics.
- Physical Description:
- 1 online resource.
- polychrome
- Edition:
- First edition.
- Place of Publication:
- Hoboken, NJ : John Wiley & Sons, Inc., 2021.
- [Place of publication not identified] : [publisher not identified], [2021]
- System Details:
- text file
- Contents:
- Introduction to big dependent data
- Linear univariate time series
- Analysis of multivariate time series
- Handling heterogeneity in many time series
- Clustering and classification of time series
- Dynamic factor models
- Forecasting with big dependent data
- Machine learning of big dependent data
- Spatio-temporal dependent data.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Hoboken, N.J. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on July 08, 2021).
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Anne and Joseph Trachtman Memorial Book Fund.
- Other Format:
- Print version: Peña, Daniel, 1948- Statistical learning for big dependent data
- ISBN:
- 9781119417408
- 1119417406
- 9781119417392
- 1119417392
- 9781119417415
- 1119417414
- Publisher Number:
- 99990688700
- Access Restriction:
- Restricted for use by site license.
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