Literature DB >> 19763283

The Support Reduction Algorithm for Computing Non-Parametric Function Estimates in Mixture Models.

Piet Groeneboom1, Geurt Jongbloed, Jon A Wellner.   

Abstract

In this paper, we study an algorithm (which we call the support reduction algorithm) that can be used to compute non-parametric M-estimators in mixture models. The algorithm is compared with natural competitors in the context of convex regression and the 'Aspect problem' in quantum physics.

Entities:  

Year:  2008        PMID: 19763283      PMCID: PMC2744971          DOI: 10.1111/j.1467-9469.2007.00588.x

Source DB:  PubMed          Journal:  Scand Stat Theory Appl        ISSN: 0303-6898            Impact factor:   1.396


  1 in total

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Authors:  Stefan Zohren; Richard D Gill
Journal:  Phys Rev Lett       Date:  2008-03-27       Impact factor: 9.161

  1 in total
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Authors:  Piet Groeneboom; Marloes H Maathuis; Jon A Wellner
Journal:  Ann Stat       Date:  2008-01-01       Impact factor: 4.028

2.  ESTIMATING WITHIN-HOUSEHOLD CONTACT NETWORKS FROM EGOCENTRIC DATA.

Authors:  Gail E Potter; Mark S Handcock; Ira M Longini; M Elizabeth Halloran
Journal:  Ann Appl Stat       Date:  2011       Impact factor: 2.083

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Authors:  Yining Chen; Jon A Wellner
Journal:  Electron J Stat       Date:  2016-02-17       Impact factor: 1.125

4.  Estimation of a k-monotone density: characterizations, consistency and minimax lower bounds.

Authors:  Fadoua Balabdaoui; Jon A Wellner
Journal:  Stat Neerl       Date:  2010-02-01       Impact factor: 1.190

5.  Nonparametric estimation of a convex bathtub-shaped hazard function.

Authors:  Hanna K Jankowski; Jon A Wellner
Journal:  Bernoulli (Andover)       Date:  2009-11-01       Impact factor: 1.595

6.  Semiparametric competing risks regression under interval censoring using the R package intccr.

Authors:  Jun Park; Giorgos Bakoyannis; Constantin T Yiannoutsos
Journal:  Comput Methods Programs Biomed       Date:  2019-03-08       Impact factor: 5.428

7.  Computation of nonparametric convex hazard estimators via profile methods.

Authors:  Hanna K Jankowski; Jon A Wellner
Journal:  J Nonparametr Stat       Date:  2009-05-01       Impact factor: 1.231

8.  Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R package.

Authors:  Michael P Fay; Pamela A Shaw
Journal:  J Stat Softw       Date:  2010-08       Impact factor: 6.440

9.  Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times.

Authors:  M H Maathuis; M G Hudgens
Journal:  Biometrika       Date:  2011-04-28       Impact factor: 2.445

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