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  • Search: subject:"pool adjacent violators algorithm"
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Year of publication
Subject
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Fermat's problem 2 L1 regression 2 convex approximation 2 monotone regression 2 nonparametric regression 2 pool adjacent violators algorithm 2 quadratic approximation 2 quantile regression 2 regression analysis 2 reweighted least squares 2 shape constraints 2 total variation semi-norm 2 Isotonic regression 1 Mathematics 1 Oncology 1 Pool-adjacent violators algorithm 1 Profile likelihood 1 Science 1 Semiparametric information bound 1 Smoothing splines 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Other 1
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 Undetermined 1
Author
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Bissantz, Nicolai 2 Dümbgen, Lutz 2 Munk, Axel 2 Stratmann, Bernd 2 Banerjee, Moulinath 1 Biswas, Pinaki 1 Ghosh, Debashis 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
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Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Source
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BASE 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces
Bissantz, Nicolai; Dümbgen, Lutz; Munk, Axel; … - 2008
The computation of robust regression estimates often relies on minimization of a convex functional on a convex set. In this paper we discuss a general technique for a large class of convex functionals to compute the minimizers iteratively which is closely related to majorization-minimization...
Persistent link: https://www.econbiz.de/10010300699
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Cover Image
Inference for Constrained Estimation of Tumor Size Distributions
Ghosh, Debashis; Banerjee, Moulinath; Biswas, Pinaki - 2008
In order to develop better treatment and screening programs for cancer prevention programs, it is important to be able to understand the natural history of the disease and what factors affect its progression. We focus on a particular framework first outlined by Kimmel and Flehinger (1991,...
Persistent link: https://www.econbiz.de/10009477554
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Cover Image
Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces
Bissantz, Nicolai; Dümbgen, Lutz; Munk, Axel; … - Institut für Wirtschafts- und Sozialstatistik, … - 2008
The computation of robust regression estimates often relies on minimization of a convex functional on a convex set. In this paper we discuss a general technique for a large class of convex functionals to compute the minimizers iteratively which is closely related to majorization-minimization...
Persistent link: https://www.econbiz.de/10009216893
Saved in:
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