Results 251 to 260 of about 1,888,863 (293)

Log-linear modeling using conditional log-linear structures

Annals of the Institute of Statistical Mathematics, 2007
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VELLAISAMY, P, VIJAY, V
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Equivalence of Generative and Log-Linear Models

IEEE Transactions on Audio, Speech, and Language Processing, 2011
Conventional speech recognition systems are based on hidden Markov models (HMMs) with Gaussian mixture models (GHMMs). Discriminative log-linear models are an alternative modeling approach and have been investigated recently in speech recognition. GHMMs are directed models with constraints, e.g., positivity of variances and normalization of conditional
Georg Heigold, Hermann Ney, Patrick Lehnen, Tobias Gass, Ralf Schlüter   +4 more
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Table selection and log-linear models

Journal of Chronic Diseases, 1980
Abstract The use of multi-dimensional contingency tables has become commonplace in the analysis of epidemiological data. This paper examines two problems in this methodology. First, for data having many response or dependent variables, it is often unclear as to which of many possible tables should be analyzed.
D H, Freeman, J F, Jekel
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Log-Linear Modelling and Spatial Analysis

Environment and Planning A: Economy and Space, 1985
In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models).
E Aufhauser, M M Fischer
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Log-Linear Models

2004
In this chapter we study log-linear models which are useful for modeling multivariate discrete data. There is a strong connection between log-linear models and undirected graphs.
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Log-Linear Models

2014
The classical log-linear models are introduced for two-way and multi-way contingency tables. Estimation theory, goodness-of-fit testing, and model selection procedures are discussed. Characteristic examples are worked out in R and interpreted. Log-linear models for three-dimensional tables are illustrated through mosaic plots.
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Log-Linear Models

2021
Razia Azen, Cindy M. Walker
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Log-Linear Models for Linked Loci

Biometrics, 1984
Noting the importance of measuring the pure effects of various disequilibrium parameters in a randomly mating population, the author suggests a class of log-linear models together with methods which enable one to choose the model which best fits the data.
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Solid-liquid equilibrium solubility prediction of sulfanilamide in four binary solvent mixtures by using pure solvents solubility data from 278.15 to 318.15 K with the Abraham solvation parameter model, Yalkowsky Log-Linear and extended log-linear solubility thermodynamic models

Journal of Molecular Liquids, 2022
Jyothi Thati
exaly  

Hierarchical Log- Linear Models

2019
Darren George, Paul Mallery
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