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Global identifiability of linear structural equation models
Covariance matrix Gaussian distribution graphical model multivari-ate normal distribution parameter identification structural equation model
2010/3/11
Structural equation models are multivariate statistical models that
are defined by specifying noisy functional relationships among random vari-
ables. We consider the classical case of linear relati...
Penalized maximum likelihood estimation for generalized linear point processes
Penalized maximum likelihood estimation generalized linear point processes
2010/3/11
A framework of generalized linear point process models (glppm) much akin to glm for regression is developed where the intensity depends upon a linear predictor process through a known function.In the ...
Estimation for High-Dimensional Linear Mixed-Effects Models Using l1-Penalization
Estimation High-Dimensional Linear Mixed-Effects Models l1-Penalization
2010/3/10
We propose an `1-penalized estimation procedure for high-dimensional lin-
ear mixed-effects models. The models are useful whenever there is a grouping
structure among high-dimensional observations, ...
Bayesian predictive densities for linear regression models under alpha-divergence loss：some results and open problems
shrinkage prior Bayesian predictive density alpha-divergence Stein effect
2010/3/10
This paper considers estimation of the predictive density for
a normal linear model with unknown variance under -divergence loss for
−1 1. We first give a general canonical form for the...
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
ordered explanatory variable constrained estimation least squares logistic regression Coxregression active set algorithm
2010/3/18
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
Sure Independence Screening in Generalized Linear Models with NP-Dimensionality
generalized linear models independent learning sure indepen-dent screening variable selection
2010/3/19
Ultrahigh dimensional variable selection plays an increasingly
important role in contemporary scientific discoveries and statisti-
cal research. Among others, Fan and Lv (2008) propose an indepen-
...
Admissibility of the usual confidence interval in linear regression
admissibility compromise decision theory confidence interval decisiontheory
2010/3/9
Consider a linear regression model with independent and identically normally distributed
random errors. Suppose that the parameter of interest is a specified linear
combination of the regression par...
Spectral clustering based on local linear approximations
Spectral Clustering Higher-Order Affinities Local Linear Approximation Local PolynomialApproximation
2010/3/9
In the context of clustering, we assume a generative model where each cluster is the result
of sampling points in the neighborhood of an embedded smooth surface, possibly contaminated
with outliers....
Correction to:“Blind maximum likelihood separation of a linear-quadratic mixture”
Correction Blind maximum likelihood separation linear-quadratic mixture
2010/3/9
An error occurred in the computation of a gradient in [1]. The equa-
tions (20) in Appendix and (17) in the text were not correct. The current
paper presents the correct version of these equations.
Post-L1-Penalized Estimators in High-Dimensional Linear Regression Models
Post-L1-Penalized Estimators High-Dimensional Linear Regression Models
2010/3/9
In this paper we study the post-penalized estimator which applies ordinary,
unpenalized linear regression to the model selected by the first step penalized estimators,
typically the LASSO. It is wel...
Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns
workforce analysis data mining linear regression HIV/AIDS prevalence patterns
2009/9/27
Increased nurse and physician density are associated with improved health outcomes, suggesting that countries aiming to attain the MDGs related to HIV/AIDS would do well to invest in their health work...
Best unbiased linear estimation, a coordinate free approach
Best unbiased linear estimation a coordinate free approach
2009/9/24
Best unbiased linear estimation, a coordinate free approach。
The aim of the paper is to give a description of linear
kernds of symmetric p-stable measures in terms of Pettis-typeintegral
of some operatom.
Admissibility of limits of the unique locally best linear estimators with application to variance components models
Admissibility of limits the unique locally best linear estimators
2009/9/23
The paper gives a sufkient condition for the limit of
a sequence of the unique best linear estimators to be admissible. For
commutative variance components models a complete characterization
of hrn...
Topology of the convergence in probability on a linear span of a sequence of independent random variables
Topology of the convergence a linear span independent random variables
2009/9/23
Topology of the convergence in probability on a linear span of a sequence of independent random variables。