Results 31 to 40 of about 449,237 (302)
Annealing Response of a Cold-Rolled Binary Al–10Mg Alloy
Metals, 2019 The effect of annealing temperature on microstructure and mechanical properties of a cold-rolled Al−10Mg alloy has been investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), electron backscatter diffraction (EBSD) and tensile
Lei Feng +3 more
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RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach
Mathematics, 2021 A boosting-based machine learning algorithm is presented to model a binary response with large imbalance, i.e., a rare event. The new method (i) reduces the prediction error of the rare class, and (ii) approximates an econometric model that allows ...
Jessica Pesantez-Narvaez +2 more
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Endogeneity in Semiparametric Binary Response Models [PDF]
Review of Economic Studies, 2004 Summary: This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuous endogenous regressors. It extends existing results on semiparametric estimation in single-index binary response models to the case of endogenous regressors.
Richard W. Blundell, James L. Powell
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Physiological dynamics as indicators of plant response to manganese binary effect
Frontiers in Plant Science, 2023 IntroductionHeavy metals negatively affect plant physiology. However, plants can reduce their toxicity through physiological responses. Broussonetia papyrifera is a suitable candidate tree for carrying out the phytoremediation of manganese (Mn ...
Xu Zhenggang +7 more
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Testing for similarity of binary efficacy–toxicity responses
Biostatistics, 2021 SummaryClinical trials often aim to compare two groups of patients for efficacy and/or toxicity depending on covariates such as dose. Examples include the comparison of populations from different geographic regions or age classes or, alternatively, of different treatment groups.
Möllenhoff, Kathrin +2 more
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Locally Adaptive Function Estimation for Binary Regression Models [PDF]
, 2003 In this paper we present a nonparametric Bayesian approach for fitting unsmooth or highly oscillating functions in regression models with binary responses. The approach extends previous work by Lang et al. (2002) for Gaussian responses.
Jerak, A. +3 more
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The use of continuous data versus binary data in MTC models: A case study in rheumatoid arthritis
BMC Medical Research Methodology, 2012 Background Estimates of relative efficacy between alternative treatments are crucial for decision making in health care. When sufficient head to head evidence is not available Bayesian mixed treatment comparison models provide a powerful methodology to ...
Schmitz Susanne +2 more
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Binary Descriptor for Images Based on Adaboost [PDF]
Jisuanji gongcheng, 2016 Classic descriptors such as Scale Invariant Feature Transform(SIFT) and Speeded up Robust Feature(SURF) have some drawbacks in storage capacity and parameter adaptive learning,so a binary descriptor for images based on Adaboost is proposed,which can ...
LU Lai,WANG Junmin,FAN Rui
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Designs for generalized linear models with several variables and model uncertainty [PDF]
, 2006 Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods +11 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source