Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
Search
  Browse All Reviews > Mathematics Of Computing (G) > Probability And Statistics (G.3) > Nonparametric Statistics (G.3...)  
 
Options:
 
  1-5 of 5 Reviews about "Nonparametric Statistics (G.3...)": Date Reviewed
  A new nonparametric screening method for ultrahigh-dimensional survival data
Liu Y., Zhang J., Zhao X. Computational Statistics & Data Analysis 119(C): 74-85, 2018.  Type: Article

Groundbreaking effective algorithms for overcoming the discrepancies in the existing screening procedures for ultrahigh-dimensional medical survival data are long overdue. Liu et al. offer a nonparametric Kolmogorov-Smirnov (K-S) test ...

May 31 2018
  Entropic risk minimization for nonparametric estimation of mixing distributions
Watanabe K., Ikeda S. Machine Learning 99(1): 119-136, 2015.  Type: Article

The paper introduces a new method for nonparametric estimation of mixing distributions, which is a generalization of the maximum likelihood estimation (MLE) of Lindsay [1,2]. The method aims at minimizing a function, named entropic ris...

Aug 31 2015
  On projection-based tests for directional and compositional data
Cuesta-Albertos J., Cuevas A., Fraiman R. Statistics and Computing 19(4): 367-380, 2009.  Type: Article

Hypothesis testing on multivariate data with a special structure is dealt with in this paper. Specifically, the situations considered concern two types of data: directional and compositional. Directional (or spherical) data is comprise...

Mar 22 2010
  Baysian nonparametrics via neural networks
Lee H., Society for Industrial & Applied Mathematics., 2004.  Type: Book (9780898715637)

A brief, but well-written synopsis of neural networks from the viewpoint of a statistician is provided in this book. By merging the two disciplines, the author introduces a new, though well-tested, model to the field of statistics. To ...

Jan 18 2005
  Nonparametric econometrics
Pagan A., Ullah A., Cambridge University Press, New York, NY, 1999.  Type: Book (9780521355643)

The purpose of this sophisticated and exhaustive text is twofold: to bring together the nonparametrics literature into a single volume and to parallel traditional parametric econometrics in a “nonparametric” way.
Aug 1 1999
 
 
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud®
Terms of Use
| Privacy Policy