Results 11 to 20 of about 11,828 (202)
Dual active-set algorithm for optimal 3-monotone regression [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022 The paper considers a shape-constrained optimization problem of constructing monotone regression which has gained much attention over the recent years. This paper presents the results of constructing the nonlinear regression with $3$-monotone constraints.
Gudkov, Alexandr A. +2 more
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Axioms, 2021 Meta-analyses combine the estimators of individual means to estimate the common mean of a population. However, the common mean could be undefined or uninformative in some scenarios where individual means are “ordered” or “sparse”.
Nanami Taketomi +3 more
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Iterative isotonic regression [PDF]
ESAIM: Probability and Statistics, 2015 This article introduces a new nonparametric method for estimating a univariate regression function of bounded variation. The method exploits the Jordan decomposition which states that a function of bounded variation can be decomposed as the sum of a non-decreasing function and a non-increasing function. This suggests combining the backfitting algorithm
Guyader, Arnaud +3 more
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Isotonic regression discontinuity designs [PDF]
Journal of Econometrics, 2019 This paper studies the estimation and inference for the isotonic regression at the boundary point, an object that is particularly interesting and required in the analysis of monotone regression discontinuity designs. We show that the isotonic regression is inconsistent in this setting and derive the asymptotic distributions of boundary corrected ...
Babii, Andrii, Kumar, Rohit
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Bayesian isotonic density regression [PDF]
Biometrika, 2011 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.
Lianming Wang, David B. Dunson
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The Influence of Active Hamstring Stiffness on Markers of Isotonic Muscle Performance
Sports, 2021 Background: Previous research demonstrates hamstring muscle-tendon stiffness (HMTS) influences isometric strength, landing biomechanics and architectural tissue properties.
Sean P. Langan +4 more
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M-estimators for isotonic regression [PDF]
Journal 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.
Alvarez, Enrique Ernesto +1 more
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An Experimental Investigation of Calibration Techniques for Imbalanced Data
IEEE Access, 2020 Calibration is a technique used to obtain accurate probability estimation for classification problems in real applications. Class imbalance can create considerable challenges in obtaining accurate probabilities for calibration methods.
Lanlan Huang +4 more
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LASSO Isotone for High-Dimensional Additive Isotonic Regression [PDF]
Journal of Computational and Graphical Statistics, 2012 Additive isotonic regression attempts to determine the relationship between a multi-dimensional observation variable and a response, under the constraint that the estimate is the additive sum of univariate component effects that are monotonically increasing. In this article, we present a new method for such regression called LASSO Isotone (LISO).
Fang, Z, Meinshausen, N
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Nearly-Isotonic Regression [PDF]
Technometrics, 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 +2 more
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