عنوان

Statistical learning with sparsity :

پدید آورنده

Trevor Hastie, Stanford University, USA, Rob Tibshirani, Stanford University, USA, Martin Wainwright, University of California, Berkeley, USA

موضوع

Least squares,Linear models (Statistics),Mathematical statistics,Proof theory

رده

QA275
.
H38

2015

کتابخانه

کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار

استان: قم ـ شهر: قم

تماس با کتابخانه : 32910706-025

1498712169 (hardback : acid-free paper)

9781498712163 (hardback : acid-free paper)

dltt

Statistical learning with sparsity :

[Book]

the lasso and generalizations /

Trevor Hastie, Stanford University, USA, Rob Tibshirani, Stanford University, USA, Martin Wainwright, University of California, Berkeley, USA

xv, 351 pages :

illustrations (some color) ;

25 cm

Chapman & Hall/CRC monographs on statistics & applied probability ;

143

"A Chapman & Hall book."

Includes bibliographical references and indexes

Introduction -- The lasso for linear models -- Generalized linear models -- Generalizations of the lasso penalty -- Optimization methods -- Statistical inference -- Matrix decompositions, approximations, and completion -- Sparse multivariate methods -- Graphs and model selection -- Signal approximation and compressed sensing -- Theoretical results for the lasso

Least squares

Linear models (Statistics)

Mathematical statistics

Proof theory

519

QA275

H38

2015

Hastie, Trevor

Tibshirani, Robert

Wainwright, Martin, (Martin J.)

20201222122017.0

rda

[Book]

270410

عنوان Statistical learning with sparsity :

پدید آورنده Trevor Hastie, Stanford University, USA, Rob Tibshirani, Stanford University, USA, Martin Wainwright, University of California, Berkeley, USA

موضوع Least squares,Linear models (Statistics),Mathematical statistics,Proof theory

رده QA275 .H38 2015

کتابخانه کتابخانه مطالعات اسلامی به زبان های اروپایی