Results 191 to 200 of about 1,603 (207)

Applications of the Pool Adjacent Violation Algorithm (PAVA) in Statistical Inferences

2017
The 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.
openaire   +1 more source

Pool Adjacent Violator Algorithm

2023
Wolfgang Karl Härdle, Xiaorui Zuo
openaire   +1 more source

Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes

Biometrics, 2022
Baojiang Chen, Ao Yuan, Jing Qin
exaly  

Pooling adjacent violators under interval constraints

Optimization Letters, 2023
Kai Kopperschmidt
exaly  

A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes

Journal of Statistical Computation and Simulation, 2014
Roland C Deutsch, Brian Habing, Walter W Piegorsch   +2 more
exaly  

Nearly-Isotonic Regression

Technometrics, 2011
Ryan J Tibshirani, Robert Tibshirani
exaly  

Pool Adjacent Violators Based Biometric Rank Level Fusion

2017
Nanang Susyanto
exaly  

Improving classifier fusion via Pool Adjacent Violators normalization

2016
Gaurav Goswami, Richa Singh, Mayank Vatsa   +2 more
exaly  

OLLAWV: OnLine Learning Algorithm using Worst-Violators

Applied Soft Computing Journal, 2018
Gabriella Melki, Vojislav Kecman, Sebastián Ventura   +2 more
exaly  

Reducing the projection onto the monotone extended second-order cone to the pool-adjacent-violators algorithm of isotonic regression

Optimization
Orizon Ferreira, Sándor Zoltán Németh
exaly