Fundamentals of High-Dimensional Statistics

Fundamentals of High-Dimensional Statistics

With Exercises and R Labs

Lederer, Johannes

Springer Nature Switzerland AG

11/2022

355

Mole

Inglês

9783030737948

15 a 20 dias

569

Descrição não disponível.

Preface.- Notation.- Introduction.- Linear Regression.- Graphical Models.- Tuning-Parameter Calibration.- Inference.- Theory I: Prediction.- Theory II: Estimation and Support Recovery.- A Solutions.- B Mathematical Background.- Bibliography.- Index.

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high-dimensional statistics;regularization;sparsity;linear regression;graphical models;high-dimensional data;R labs;prediction;estimation;lasso;calibration;statistical inference;exercises and solutions;high-dimensional inference