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Автор: Daniel Pena, Ruey S. Tsay
Издательство: Wiley
Год: 2021
Формат: True PDF
Страниц: 556
Размер: 23.1 Mb
Язык: English
Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource
Statistical Learning with Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting large and dynamically dependent data sets. The book presents automatic procedures for modelling and forecasting large sets of time series data. Beginning with some visualization tools, the book discusses procedures and methods for finding outliers, clusters, and other types of heterogeneity in big dependent data.