Results 241 to 250 of about 819,272 (292)

Mixing partially linear regression models

Sankhya A, 2013
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Liu, Song, Yang, Yuhong
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Non‐linear mixed regression models

Environmetrics, 1995
AbstractIn this paper we present an estimating equation approach to statistical inference for non‐linear random effects regression models for correlated data. With this approach, the distribution of the observations and the random effects need not be specified; only their expectation and covariance structure are required. The variance of the data given
Richard T. Burnett, W. H. Ross, Daniel Krewski   +2 more
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Bridge Estimation for Linear Regression Models with Mixing Properties

Australian & New Zealand Journal of Statistics, 2014
SummaryPenalized regression methods have for quite some time been a popular choice for addressing challenges in high dimensional data analysis. Despite their popularity, their application to time series data has been limited. This paper concerns bridge penalized methods in a linear regression time series model.
Lee, Taewook, Park, Cheolwoo, Yoon, Young Joo   +2 more
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A bayesian mixture model with linear regression mixing proportions

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is to learn how complex data distributions evolve. We develop models and Bayesian learning algorithms for inferring the temporal trends of the components in a mixture model as a
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums   +3 more
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LOG‐LINEAR MODELS FOR MEAN AND DISPERSION IN MIXED POISSON REGRESSION MODELS

Australian Journal of Statistics, 1995
SummaryThis paper is concerned with the analysis of repeated measures count data overdispersed relative to a Poisson distribution, with the overdispersion possibly heterogeneous. To accommodate the overdispersion, the Poisson random variable is compounded with a gamma random variable, and both the mean of the Poisson and the variance of the gamma are ...
Van de Ven, R., Weber, N. C.
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Model checking for multiplicative linear regression models with mixed estimators

Statistica Neerlandica, 2021
In this paper, we introduce the mixed estimators based on product least relative error estimation and least squares estimation in a multiplicative linear regression model. The asymptotic properties for the mixed estimators are established. We present some explicit expressions of the optimal estimator of the mixed estimators, and we also suggest some ...
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Bayesian cusp regression and linear mixed model

2023
First of all, we introduce the Bayesian mixture way of solving the Cusp Catastrophe model, which is designed to deal with piece-wise continuous outcomes. Simulation and real data analysis show that the new method beats the old stochastic different equation solution of Cusp Catastrophe model.
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Linear Mixed Model Robust Regression [PDF]

, 2019
Mixed models are powerful tools for the analysis of clustered data and many extensions of the classical linear mixed model with normally distributed response have been established. As with all parametric models, correctness of the assumed model is critical for the validity of the ensuing inference. An incorrectly specified parametric means model may be
Waterman, Megan J., Birch, Jeffrey B., Schabenberger, Oliver   +2 more
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Predicting PM2.5 in Well-Mixed Indoor Air for a Large Office Building Using Regression and Artificial Neural Network Models.

Environmental Science and Technology, 2020
Although the exposure to PM2.5 has serious health implications, indoor PM2.5 monitoring is not a widely applied practice. Regulations on the indoor PM2.5 level and measurement schemes are not well established.
Brent Lagesse, Shuoqi Wang, T. Larson, Amy A. Kim   +3 more
semanticscholar   +1 more source

Composite quantile regression for high-dimensional linear mixed effects models

Journal of Statistical Computation and Simulation
Gaorong Li
exaly   +2 more sources