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of 391
pro vyhledávání: '"Pool adjacent violators algorithm (PAVA)"'
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints. Besides of general conve
Externí odkaz:
http://epub.wu.ac.at/3993/1/isotone.pdf
Publikováno v:
Journal of Statistical Software, Vol 32, Iss 05 (2009)
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints. Besides of general conve
Externí odkaz:
https://doaj.org/article/5bbeefec1a57456fa1a841232ea54e95
Akademický článek
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Autor:
Zalsha, Shalima1 (AUTHOR) Zalsha-Shalima@norc.org, Wolter, Kirk M.2 (AUTHOR)
Publikováno v:
Journal of Official Statistics (JOS). Dec2024, Vol. 40 Issue 4, p829-848. 20p.
Publikováno v:
ResearcherID
Journal of Statistical Software; Vol 32 (2010); 1-24
Leeuw, Jan de; Hornik, Kurt; & Mair, Patrick. (2009). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/6xc0172f
Journal of Statistical Software, Vol 32, Iss 05 (2009)
Scopus-Elsevier
de Leeuw, Jan; Hornik, Kurt; & Mair, Patrick. (2009). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/9zx9c72c
Jan de Leeuw; Kurt Hornik; & Patrick Mair. (2011). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/7qp1k7m2
Journal of Statistical Software; Vol 32 (2010); 1-24
Leeuw, Jan de; Hornik, Kurt; & Mair, Patrick. (2009). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/6xc0172f
Journal of Statistical Software, Vol 32, Iss 05 (2009)
Scopus-Elsevier
de Leeuw, Jan; Hornik, Kurt; & Mair, Patrick. (2009). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/9zx9c72c
Jan de Leeuw; Kurt Hornik; & Patrick Mair. (2011). Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/7qp1k7m2
In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints. Besides of general conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::171003afc12429d43c111a2c4bdc8023
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000271534000001&KeyUID=WOS:000271534000001
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000271534000001&KeyUID=WOS:000271534000001
Publikováno v:
Biometrics
The power bias model, a generalization of length-biased sampling, is introduced and investigated in detail. In particular, attention is focused on order-restricted inference. We show that the power bias model is an example of the density ratio model,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6c9292a1a244f355435a6fe3301d52
https://doi.org/10.1111/j.1541-0420.2009.01285.x
https://doi.org/10.1111/j.1541-0420.2009.01285.x
Autor:
Li, Yan1,2 (AUTHOR), Zhou, Xiang3 (AUTHOR), Chen, Rui4 (AUTHOR), Zhang, Xianyang5 (AUTHOR), Cao, Hongyuan6 (AUTHOR) hongyuancao@gmail.com
Publikováno v:
PLoS Genetics. 10/3/2024, Vol. 20 Issue 10, p1-19. 19p.
Publikováno v:
Optimization; Feb2024, Vol. 73 Issue 2, p251-265, 15p
Autor:
Henzi, Alexander1 (AUTHOR) alexander.henzi@stat.unibe.ch, Mösching, Alexandre2 (AUTHOR), Dümbgen, Lutz1 (AUTHOR)
Publikováno v:
Methodology & Computing in Applied Probability. Dec2022, Vol. 24 Issue 4, p2633-2645. 13p.
Publikováno v:
PLoS Computational Biology. 3/14/2017, Vol. 13 Issue 3, p1-26. 26p.