Results 151 to 160 of about 12,255 (190)
A Study on the ED90 of Esketamine Combined with Ropivacaine for Early Epidural Analgesia During the First Stage of Labor in Nulliparous Women: A Randomized, Sequential Dose-Finding Trial. [PDF]
Lin X +5 more
europepmc +1 more source
Predictive Performance of Frailty Indices for Complications and Functional Recovery After Distal Radius Fracture Surgery in Patients Aged ≥65 years. [PDF]
Özdemir E +3 more
europepmc +1 more source
Balancing Chloride and Glucose in Critical Illness: A 10 Year Study on Diluent Strategies and ICU Outcomes. [PDF]
Rahimi P +8 more
europepmc +1 more source
Nearly-Isotonic Regression [PDF]
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
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Isotonic Regression via Partitioning [PDF]
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Quentin F Stout
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M-estimators for isotonic regression [PDF]
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
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Consistency in Generalized Isotonic Regression
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]
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
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Reliably Calibrated Isotonic Regression
2021Using 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
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