The Elements Of Statistical Learning

Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387216065
Size: 36.66 MB
Format: PDF, Docs
View: 337
Download Read Online
Data Mining, Inference, and Prediction Trevor Hastie, Robert Tibshirani, Jerome
Friedman. Springer. Series. in. Statistics. Andersen/Borgan/Gill/Keiding:
Statistical Models Based on Counting Processes. Atkinson/Riani: Robust
Diagnostic Regression Analysis. Atkinson/Riani/Cerioli: Exploring Multivariate
Data with the Forward Search. Berger: Statistical Decision ... Borg/Groenen:
Modern Multidimensional Scaling: Theory and Applications, 2nd edition.
Brockwell/Davis: Time Series: ...

Statistical Inference For Ergodic Diffusion Processes

Author: Yury A. Kutoyants
Publisher: Springer Science & Business Media
ISBN: 144713866X
Size: 23.19 MB
Format: PDF, ePub
View: 6625
Download Read Online
Yury A. Kutoyants. Springer Series in Statistics Andersen/Borgan/Gill/Keiding:
Statistical Models Based on Counting Processes. ... Borg/Groenen: Modern
Multidimensional Scaling: Theory and Applications Brockwell/Davis: Time Series:
Theory and Methods, 2nd edition. Chan/Tong: Chaos: A ... Lack-of-Fit Tests.
Hastie/Tibshirani/Friedman: The Elements of Statistical Learning: Data Mining,
Inference, and Prediction Hedayat/Sloane/Stufken: Orthogonal Arrays: Theory
and Applications.

Statistical Data Mining Using Sas Applications Second Edition

Author: George Fernandez
Publisher: CRC Press
ISBN: 1439810761
Size: 64.28 MB
Format: PDF, ePub, Docs
View: 3518
Download Read Online
Sarle, W. S., Ed., Neural Network FAQ, part 1 of 7: Introduction, periodic posting
to the Usenet newsgroup comp.ai.neural-nets, URL: ftp://ftp.sas.com/pub/neural/
FAQ.html (last accessed 3/10/10). 8. SAS Institute Inc., Neural Network Modeling
Course Notes, Cary, NC, 2000. 9. Hastie, T., Tibshirani, R., and Friedman, J., The
Elements of Statistical LearningData Mining, Inference, and Prediction,
Springer series in Statistics, New York, 2001, chap. 11. Johnson, R. A. and
Wichern, D. W., ...

Probability And Statistics With R Second Edition

Author: Maria Dolores Ugarte
Publisher: CRC Press
ISBN: 1466504404
Size: 41.50 MB
Format: PDF, Mobi
View: 5783
Download Read Online
A Handbook of Small Data Sets. London: Chapman & Hall. Harrell, F. E., Jr. 2015
. Hmisc: Harrell Miscellaneous. http://CRAN.R-project.org/ package=Hmisc. R
package version 3.15-0. Hastie, T., R. Tibshirani, and J. Friedman. 2009. The
Elements of Statistical Learning. Springer Series in Statistics. Springer, New York
, second ed. http://dx.doi.org/10. 1007/978-0-387-84858-7. Data mining,
inference, and prediction. Hennekens, C. 1988. Preliminary report: Findings from
the aspirin ...

Ensemble Machine Learning

Author: Cha Zhang
Publisher: Springer Science & Business Media
ISBN: 1441993258
Size: 14.98 MB
Format: PDF, Mobi
View: 3324
Download Read Online
22. 23. 24. 25. 26. Dettling, M.: BagBoosting for Tumor Classification with Gene
Expression Data. Bioinformatics 20 (18) pp. 3583–3593 (2004). 9. Diaz-Uriarte, R
., Alvarez de Andres, S.: Gene Selection and Classification of Microarray Data
Using Random Forest. BMC Bioinformatics 7 (1) 3 (2006). Hastie, T., Tibshirani,
R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference,
and Prediction, Second Edition. Springer Series in Statistics, Springer, New York
(2009).

Data Mining Applications With R

Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 0124115209
Size: 53.92 MB
Format: PDF, ePub, Mobi
View: 3146
Download Read Online
The Elements of Statistical Learning: Data Mining, Inference, and Prediction,
second ed. Springer Series in Statistics, Springer, New York, NY, USA. Kohonen,
T., 1995. Self-Organizing Maps, Springer Series in Information Retrieval,
seconded. Springer, New York, NY, USA. Lang, D.T., Swayne, D., Wickham, H.,
Lawrence, M., 2011. RGGobi: interface between R and GGobi. R package
version 2.1.17. Lawrence, M., 2011. cairoDevice: cairo-based cross-platform
antialiased graphics ...

Advanced Techniques In Web Intelligence 1

Author: Juan D. Velásquez
Publisher: Springer
ISBN: 3642144616
Size: 47.48 MB
Format: PDF
View: 5612
Download Read Online
SIAM 2001 • Gerhard Weikum, Arnd Christian K ̈onig, Stefan Deßloch (Eds.):
Proceedings of the ACM SIGMOD International Conference on Management of
Data, Paris, France, June 13-18, 2004. ACM 2004 • 6th Atlantic ... The Elements
of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (
Springer Series in Statistics). Springer-Verlag, 2nd ed. 2009. • Inmon, W. H.
Building the Data Warehouse, 4rd Edition. Wiley Publishing, 2005. • Kimball, R.
and Ross, ...

Risk A Multidisciplinary Introduction

Author: Claudia Klüppelberg
Publisher: Springer
ISBN: 3319044869
Size: 78.63 MB
Format: PDF, Mobi
View: 1470
Download Read Online
High-throughput, high-quality genomic data in combination with efficient
statistical and computational tools are currently advancing our knowledge on the
inheritance of quantitative traits at mind boggling speed. These developments ...
In addition, the concepts for data mining to arrive at accurate predictions based
on high-dimensional data presented here are applicable to a plethora of
research fields and applications. ... Edition. Springer Series in Statistics (Springer
, Berlin, 2009) 4.

20th European Symposium Of Computer Aided Process Engineering

Author: S. Pierucci
Publisher: Elsevier
ISBN: 0444535705
Size: 53.50 MB
Format: PDF, ePub
View: 4101
Download Read Online
[8] Leo Breiman, Bagging Predictors. Machine Learning, 24:123-140, 1996. [9] B.
Efron, Estimating the error rate of a prediction rule: some improvements on
crossvalidation. Journal of the American Statistical Association, 78: 316–331.,
1983. [10] Trevor Hastie, Robert Tibshirani, Jerome Friedman. The Elements of
Statistical Learning: Data Mining, Inference, and Prediction - Second Edition.
Springer Series in Statistics, 2009. [11] Ting Wang, Package random forests for
Matlab R13, ...

Introduction To High Dimensional Statistics

Author: Christophe Giraud
Publisher: CRC Press
ISBN: 1482237954
Size: 35.21 MB
Format: PDF, ePub, Docs
View: 2467
Download Read Online
The elements of statistical learning. Springer Series in Statistics. Springer, New
York, second edition, 2009. Data mining, inference, and prediction. R.A. Horn
and C.R. Johnson. Matrix analysis. 2nd ed. Cambridge: Cambridge University
Press. xviii, 643 p., 2013. I.A. Ibragimov, V.N. Sudakov, and B.S. Tsirel'son.
Norms of Gaussian sample functions, volume 550 of Lecture Notes in
Mathematics. Springer, 1976. Proceedings of the third Japan-USSR Symposium
on Probability Theory.