Results 21 to 30 of about 27,457 (208)
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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Isotonic Regression under Lipschitz Constraint. [PDF]
J Optim Theory Appl, 2009 The pool adjacent violators (PAV) algorithm is an efficient technique for the class of isotonic regression problems with complete ordering. The algorithm yields a stepwise isotonic estimate which approximates the function and assigns maximum likelihood to the data.
Yeganova L, Wilbur WJ.
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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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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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Algorithms, 2020 Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive algorithm for the reconstruction of increasing real-valued functions ...
Luc Bonnet +3 more
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A regression based phase I clinical trial for late-onset toxicities without clinician elicitation
Contemporary Clinical Trials Communications, 2019 An extension of the isotonic regression based phase I clinical trial design is presented that incorporates partial follow-up times into estimation of the raw toxicity probabilities.
Andrew G. Chapple +2 more
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The role of the host—Neutrophil biology
Periodontology 2000, EarlyView., 2023 Abstract Neutrophilic polymorphonuclear leukocytes (neutrophils) are myeloid cells packed with lysosomal granules (hence also called granulocytes) that contain a formidable antimicrobial arsenal. They are terminally differentiated cells that play a critical role in acute and chronic inflammation, as well as in the resolution of inflammation and wound ...
Iain L. C. Chapple +4 more
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meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means
Algorithms, 2022 Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James–Stein (JS) shrinkage estimator ...
Nanami Taketomi +3 more
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