Results 161 to 170 of about 316 (183)

Statistical Change Detection by the Pool Adjacent Violators Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
In this paper, we present a statistical change detection approach aimed at being robust with respect to the main disturbance factors acting in real-world applications such as illumination changes, camera gain and exposure variations, noise. We rely on modeling the effects of disturbance factors on images as locally order-preserving transformations of ...
Luigi Di Stefano, Alessandro Lanza, L di Stefano   +2 more
exaly   +3 more sources

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

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
openaire   +2 more sources

A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring

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 C. Titman
exaly   +3 more sources

Extension of the pool-adjacent-violators algorithm

Communications in Statistics - Theory and Methods, 1991
The pool-adjacent-violators algorithm (PAVA) is an efficient algorithm which converges in a finite number of steps. However, it has been applicable so far only in isotonic regression with the simple order. This report extends its applicability to other quadratic programming problems, including certain one-sided multivariate testing problems and concave
Dei- In Tang, Shang P. Lin
exaly   +2 more sources

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.
openaire   +2 more sources

The validity of the “Pool-Adjacent-Violator” algorithm

Statistics & Probability Letters, 1988
The 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
openaire   +1 more source

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
Ao Yuan, Baojiang Chen, Jing Qin
exaly  

Pooling adjacent violators under interval constraints

Optimization Letters, 2023
Kai Kopperschmidt
exaly