Results 151 to 160 of about 12,255 (190)

Balancing Chloride and Glucose in Critical Illness: A 10 Year Study on Diluent Strategies and ICU Outcomes. [PDF]

open access: yesJ Clin Med
Rahimi P   +8 more
europepmc   +1 more source

Nearly-Isotonic Regression [PDF]

open access: yesTechnometrics, 2011
We consider the problem of approximating a sequence of data points with a “nearly-isotonic,” or nearly-monotone function. This is formulated as a convex optimization problem that yields a family of solutions, with one extreme member being the standard isotonic regression fit. We devise a simple algorithm to solve for the path of solutions, which can be
Ryan J Tibshirani, Robert Tibshirani
exaly   +2 more sources

Isotonic Regression via Partitioning [PDF]

open access: yesAlgorithmica, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Quentin F Stout
exaly   +2 more sources

M-estimators for isotonic regression [PDF]

open access: yesJournal of Statistical Planning and Inference, 2012
In this paper we propose a family of robust estimates for isotonic regression: isotonic M-estimators. We show that their asymptotic distribution is, up to an scalar factor, the same as that of Brunk's classical isotonic estimator. We also derive the influence function and the breakdown point of these estimates.
VÍCTOR J Yohai
exaly   +5 more sources

Consistency in Generalized Isotonic Regression

open access: yesAnnals of Statistics, 1975
Suppose $T$ is a partially ordered set and that associated with each $t$ in $T$ we have a distribution with "location parameter" $m(t)$. In this paper we discuss consistency properties of estimates of $m(\cdot)$ which are isotonic with respect to a partial order. The results extend results in the literature, some of which are contained in Brunk (1970) (
Tim Robertson, F T Wright
exaly   +3 more sources

Strict L∞ Isotonic Regression [PDF]

open access: yesJournal of Optimization Theory and Applications, 2011
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-preserving real-valued function that minimizes the weighted distance to f among all order-preserving functions. When the distance is given via the supremum norm there may be many isotonic regressions.
Quentin F Stout
exaly   +2 more sources

Reliably Calibrated Isotonic Regression

2021
Using classifiers for decision making requires well-calibrated probabilities for estimation of expected utility. Furthermore, knowledge of the reliability is needed to quantify uncertainty. Outputs of most classifiers can be calibrated, typically by using isotonic regression that bins classifier outputs together to form empirical probability estimates.
Otto Nyberg, Arto Klami
openaire   +2 more sources

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