Results 161 to 170 of about 306 (181)
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Lifetime Data Analysis, 2013
A likelihood based approach to obtaining non-parametric estimates of the failure time distribution is developed for the copula based model of Wang et al. (Lifetime Data Anal 18:434-445, 2012) for current status data under dependent observation. Maximization of the likelihood involves a generalized pool-adjacent violators algorithm.
Andrew Charles Titman
exaly +3 more sources
A likelihood based approach to obtaining non-parametric estimates of the failure time distribution is developed for the copula based model of Wang et al. (Lifetime Data Anal 18:434-445, 2012) for current status data under dependent observation. Maximization of the likelihood involves a generalized pool-adjacent violators algorithm.
Andrew Charles Titman
exaly +3 more sources
Biometrics, 2021
AbstractPersonalized medicine allows individuals to choose the best fit of their treatments based on their characteristics through an individualized treatment regime. In this paper, we develop a pool adjacent violators algorithm–assisted learning method to find the optimal individualized treatment regime under the monotone single‐index outcome gain ...
Baojiang Chen, Ao Yuan, Jing Qin
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AbstractPersonalized medicine allows individuals to choose the best fit of their treatments based on their characteristics through an individualized treatment regime. In this paper, we develop a pool adjacent violators algorithm–assisted learning method to find the optimal individualized treatment regime under the monotone single‐index outcome gain ...
Baojiang Chen, Ao Yuan, Jing Qin
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The National Hockey League Entry Draft, 1969–1995 [PDF]
The American Statistician, 2001 We use data on the National Hockey League Entry Draft and subsequent performances of the players to predict performance as a function of the players position, year, and overall rank in the draft. This is done by inequality-constrained least squares using a variation of the pool-adjacent-violators algorithm.
Dawson D., Magee L.
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The validity of the “Pool-Adjacent-Violator” algorithm
Statistics & Probability Letters, 1988The purpose of this paper is to show that if G is a positive definite symmetric real matrix, the solution to minimize \((g-x)'G(g-x)\) subject to \(x'A\geq 0\) can be determined through the pool-adjacent-violator (PAV) algorithm if and only if the restrictions cone, \(\hat A,\) is acute.
Diaz, M. Martin, González, B. Salvador
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Applications of the Pool Adjacent Violation Algorithm (PAVA) in Statistical Inferences
2017The isotonic regression solves many order restricted maximum likelihood estimation problems. This method, especially with the combination of the celebrated EM algorithm, is a powerful mathematical tool to tackle many important and difficult statistical problems. In this chapter we give a few examples to illustrate this method.
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Pooling adjacent violators under interval constraints
Optimization Letters, 2023Kai Kopperschmidt
exaly
Optimal false discovery rate control for large scale multiple testing with auxiliary information
Annals of Statistics, 2022Hongyuan Cao +2 more
exaly