Results 51 to 60 of about 1,566,040 (193)
Adaptive Multivariate Ridge Regression
The Annals of Statistics, 1980 A multivariate version of the Hoerl-Kennard ridge regression rule is introduced. The choice from among a large class of possible generalizations is guided by Bayesian considerations; the result is implicitly in the work of Lindley and Smith although not actually derived there.
Brown, P. J., Zidek, J. V.
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Posterior mean and variance approximation for regression and time series problems [PDF]
, 2008 This paper develops a methodology for approximating the posterior first two moments of the posterior distribution in Bayesian inference. Partially specified probability models that are defined only by specifying means and variances, are constructed based
Harrison, P.J., Triantafyllopoulos, K.
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A Data-Driven Analysis on the Impact of High-Speed Rails on Land Prices in Taiwan
Applied Sciences, 2020 High-speed rail (HSR) networks boost inter-city accessibility across a country and stimulate economic growth in inner cities. These economic gains, however, can often be accompanied by sharp increases in land and property prices along the lines that ...
Joyce M.W. Low, Byung Kwon Lee
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Confidence bands for multivariate and time dependent inverse regression models
, 2015 Uniform asymptotic confidence bands for a multivariate regression function in an inverse regression model with a convolution-type operator are constructed. The results are derived using strong approximation methods and a limit theorem for the supremum of
Bissantz, Nicolai +2 more
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Journal of Water and Climate Change, 2023 The present study on the hydrologic regionalization was taken up to evaluate the utility of hierarchical cluster analysis for the delineation of hydrologically homogeneous regions and multiple linear regression (MLR) models for information transfer to ...
Chandrashekarayya G. Hiremath +1 more
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A Cluster Elastic Net for Multivariate Regression [PDF]
, 2018 We propose a method for estimating coefficients in multivariate regression when there is a clustering structure to the response variables. The proposed method includes a fusion penalty, to shrink the difference in fitted values from responses in the same
Price, Bradley S., Sherwood, Ben
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Multivariate logistic regression analysis using multilevel model
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be ...
Ahmad Vakili Basir +2 more
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Multivariate Regression-Based Convolutional Neural Network Model for Fundus Image Quality Assessment
IEEE Access, 2020 Objectively assessing the perceptual quality of an ocular fundus image is essential for the reliable diagnosis of various ocular diseases. A fair amount of work has been done in this field to date.
Aditya Raj +3 more
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Pemodelan Mixed Geographically Weighted Regression Multivariate Pada Pencemaran Kualitas Air Chemical Oxygen Demand (COD) Dan Biological Oxygen Demand (BOD) [PDF]
, 2014 Kali Surabaya adalah salah satu sungai di Jawa Timur yang menjadi sorotan masyarakat karena tingkat pencemarannya yang tinggi. Pemerintah Kota Surabaya sejak tahun 2005 menggalakkan program peduli lingkungan Surabaya Green and Clean, akan tetapi hingga ...
Khaulasari, H. (Hani) +1 more
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Statistical Inference using the Morse-Smale Complex
, 2017 The Morse-Smale complex of a function $f$ decomposes the sample space into cells where $f$ is increasing or decreasing. When applied to nonparametric density estimation and regression, it provides a way to represent, visualize, and compare multivariate ...
Chen, Yen-Chi +2 more
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