搜索结果: 1-11 共查到“Log-Linear”相关记录11条 . 查询时间(0.078 秒)
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Wide-Coverage Statistical Parsing CCG Log-Linear Models
2015/9/2
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are “full” parsing models in the sense that probabilities are defined for co...
Structural patterns of internal migration flows in Botswana: log-linear modeling approach
Botswana lifetime migration flows
2015/7/23
Among the total population in Botswana, 40 percent are lifetime migrants and females exceed males. Movement from rural to urban areas dominates the pattern of internal migration. The log-linear modeli...
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking functions from supervis...
Distribution-Free Multivariate Process Control Based On Log-Linear Modeling
Association Discrete measurements
2015/3/18
This pa p e r c o nsider s sta tistica l pr o cess c o ntr o l (SP C ) w hen the pr o cess mea sur e ment is
multiva r ia te. I n the liter a tur e, mo st existing multiva r ia te SP C pr o cedur es ...
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...
Log-linear modeling and two-sample CFA in the search of discrimination types
Two-sample comparison Configural Frequency Analysis (CFA) two-sample CFA log-linear modeling (LLM) nonparametric testing contingency table analysis
2010/1/4
Two-sample configural frequency (CFA) is suggested as a useful statistical tool to compare data from pretest-posttest-designs. The investigated data may be difference or improvement scores. The above ...
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。
An Alternative Approach to Non-Log-Linear Thermal Microbial Inactivation: Modelling the Number of Log Cycles Reduction with Respect to Temperature
predictive microbiology thermal processing inactivation kinetics
2009/3/16
A mathematical approach incorporating the shoulder effect during the quantification of microbial heat inactivation is being developed based on »the number of log cycles of reduction« conce...
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...