منابع مشابه
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 vectors with ‘increasing components’ in IRn. Generalized isotonic regression problems are isotonic optimization problems that seem to be quite different from isotonic regression problems, but in fact have the same solution. In problems of maximum smoothed likelihood estimat...
متن کاملBayesian isotonic density regression.
Density regression models allow the conditional distribution of the response given predictors to change flexibly over the predictor space. Such models are much more flexible than nonparametric mean regression models with nonparametric residual distributions, and are well supported in many applications. A rich variety of Bayesian methods have been proposed for density regression, but it is not c...
متن کاملOptimal Reduced Isotonic Regression
Isotonic regression is a shape-constrained nonparametric regression in which the ordinate is a nondecreasing function of the abscissa. The regression outcome is an increasing step function. For an initial set of n points, the number of steps in the isotonic regression, m, may be as large as n. As a result, the full isotonic regression has been criticized as overfitting the data or making the re...
متن کاملOnline Isotonic Regression
We consider the online version of the isotonic regression problem. Given a set of linearly ordered points (e.g., on the real line), the learner must predict labels sequentially at adversarially chosen positions and is evaluated by her total squared loss compared against the best isotonic (nondecreasing) function in hindsight. We survey several standard online learning algorithms and show that n...
متن کاملSemiparametric additive isotonic regression
Article history: Received 15 November 2007 Received in revised form 4 September 2008 Accepted 4 September 2008 Available online 5 October 2008
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2014
ISSN: 1061-8600,1537-2715
DOI: 10.1080/10618600.2012.741550