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Marginal log-linear parameters for graphical Markov models
multivariate discrete statistical models parametrization marginal log-linear graphical Markov models
2011/6/20
The parametrization of multivariate discrete statistical models by marginal log-linear
(MLL) parameters provides a great deal of flexibility; in particular, different MLL parametrizations
under line...
The Extended Generalized Inverse Gaussian Distribution for Log-Linear and Stochastic Volatility Models
Inverse Gaussian Distribution Log-Linear Stochastic Volatility Models
2009/9/17
The Extended Generalized Inverse Gaussian Distribution for Log-Linear and Stochastic Volatility Models。
Simultaneous Estimation of the Means in Some Poisson Log Linear Models
Bayes estimation decomposable Poisson model multiplicative Poisson model shrinkage estimation unbiased estimation of risk difference
2009/3/6
In this article we study the simultaneous estimation of the Poisson means in J-way multiplicative models and a decomposable model for three-way layouts. The estimators which improve on the maximum lik...
ON THE CONNECTION BETWEEN THE DISTRIBUTION OF EIGENVALUES IN MULTIPLE CORRESPONDENCE ANALYSIS AND LOG-LINEAR MODELS
Multiple Correspondence Analysis eigenvalues log-linear models graphical models normal distribution
2009/2/26
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having di®erent approaches and ¯elds of applications. Log-linear mod...
A RANDOM-EFFECTS LOG-LINEAR MODEL WITH POISSON DISTRIBUTIONS
log-linear models grouped data random e® ects mixed models overdispersion iterative reweighted generalized least squares
2009/2/26
In several applications data are grouped and there are within-group correlations.With continuous data, there are several available models that are often used; with counting data, the Poisson distribut...