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Hastie, Trevor

The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman. - 2. ed - 745 s. ill. - Springer series in statistics .

Corrected at 12th printing 2017 Endast tillgängligt på SCB:s lokaler i Stockholm

ISBN: 9780387848570

Subjects--Topical Terms:
Matematisk statistik
Data mining
Prediktion
Artificiell intelligens
Bioinformatik
Prognoser
Neuronnät (datorer)
Statistisk inferens
Statistisk metod
Databehandling
Supervised learning (Machine learning)
Electronic data processing.
Inference.
Computational intelligence.
Statistics--Methodology.
Text and data mining
Data bases
Statistical methods
Statistics
Nonparametric inference
Artificial intelligence
Bioinformatics
Data processing
Neural networks (Computer science)
Data mining
Prediction theory
Statistics
Mathematical statistics
Mathematical statistics
Probabilities
Forecasting

Subjects--Index Terms: Graphical models grafiska modeller Generalized additive models Vectore machine Multivariate models Bootstrap procedures High-dimensional problems Mathematical statistics Artificial intelligence Matematisk statistik Artificiell intelligens Mathematical statistics Artificial intelligence Data mining Prediction theory

LC Class. No.: Q325.75 / .H37 2009

Dewey Class. No.: 519.5