Results 71 to 80 of about 1,128,323 (301)
Some remarks on a pair of seemingly unrelated regression models
Open Mathematics, 2019 Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
doaj +1 more source
Fitting Additive Binomial Regression Models with the R Package blm
Journal of Statistical Software, 2013 The R package blm provides functions for fitting a family of additive regression models to binary data. The included models are the binomial linear model, in which all covariates have additive effects, and the linear-expit (lexpit) model, which allows ...
Stephanie Kovalchik, Ravi Varadhan
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Penalized log-likelihood estimation for partly linear transformation models with current status data
, 2006 We consider partly linear transformation models applied to current status data. The unknown quantities are the transformation function, a linear regression parameter and a nonparametric regression effect.
Kosorok, Michael R., Ma, Shuangge
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Variational Bayes for High-Dimensional Linear Regression With Sparse Priors [PDF]
Journal of the American Statistical Association, 2019 We study a mean-field spike and slab variational Bayes (VB) approximation to Bayesian model selection priors in sparse high-dimensional linear regression.
Kolyan Ray, Botond Szabó
semanticscholar +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]
, 2007 We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
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Asymptotic inference for semiparametric association models
, 2009 Association models for a pair of random elements $X$ and $Y$ (e.g., vectors) are considered which specify the odds ratio function up to an unknown parameter $\bolds\theta$.
Osius, Gerhard
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Robust linear regression for high‐dimensional data: An overview
WIREs Computational Statistics, 2020 Digitization as the process of converting information into numbers leads to bigger and more complex data sets, bigger also with respect to the number of measured variables.
P. Filzmoser, K. Nordhausen
semanticscholar +1 more source
Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
IJAIN (International Journal of Advances in Intelligent Informatics), 2017 This paper investigates the ability of Discrete Wavelet Transform and Adaptive Network-Based Fuzzy Inference System in time-series data modeling of weather parameters.
Devi Munandar
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