Isotonic regression

Known as: Isotonic, Monotonic regression 
In statistics, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations under the… (More)
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Calibration (statistics)Computational complexity theoryDirected graphDominance-based rough set approach
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Papers overview

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2014
2014
Generalized Isotonic Regression
We present a new computational and statistical approach for fitting isotonic models under convex differentiable loss functions… (More)
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2012
2012
Isotonic Regression via Partitioning
Algorithms are given for determining weighted isotonic regressions satisfying order constraints specified via a directed acyclic… (More)
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2012
2012
Strict L∞ Isotonic Regression
Given a function f and weights w on the vertices of a directed acyclic graph G, an isotonic regression of (f, w) is an order… (More)
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2011
2011
Nearly-Isotonic Regression
We consider the problem of approximating a sequence of data points with a “nearly-isotonic”, or nearly-monotone function. This is… (More)
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2010
2010
Generalized continuous isotonic regression
The standard isotonic regression of a vector in IRn is the solution to a least squares projection problem on the cone C of… (More)
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Highly Cited
2009
Highly Cited
2009
The Isotron Algorithm: High-Dimensional Isotonic Regression
The Perceptron algorithm elegantly solves binary classification problems that have a margin between positive and negative… (More)
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2008
2008
Unimodal regression via prefix isotonic regression
This paper gives optimal algorithms for determining realvalued univariate unimodal regressions, that is, for determining the… (More)
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Highly Cited
2007
Highly Cited
2007
Page-level template detection via isotonic smoothing
We develop a novel framework for the page-level template detection problem. Our framework is built on two main ideas. The first… (More)
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Highly Cited
2006
Highly Cited
2006
Isotonic Conditional Random Fields and Local Sentiment Flow
We examine the problem of predicting local sentiment flow in d ocuments, and its application to several areas of text analysis… (More)
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2002
2002
Risk bounds in isotonic regression
Nonasymptotic risk bounds are provided for maximum likelihood-type isotonic estimators of an unknown nondecreasing regression… (More)
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