Results 11 to 20 of about 37 (37)

On the use of external information in social network analysis

, 2010
Attribute data, Clustering, Positional analysis, Scientific collaboration network, Two-mode network, 62H17, 62J05, 91C20,
VITALE, MARIA PROSPERINA, Maria Prosperina Vitale, Maria Vitale, Giuseppe Giordano, GIORDANO, Giuseppe   +4 more
core   +1 more source

Minimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling

, 2008
Primary 62H15, Secondary 62H17, Loglinear models, Multinomial sampling, Maximum likelihood estimator, Minimum Phi-divergence estimator,
Pardo Llorente, Leandro, L. Pardo, Martín Apaolaza, Níriam, N. Martín   +3 more
core   +1 more source

On Christensen's conjecture

Primary 62H15, Secondary 62H17, Loglinear models, Multinomial sampling, Maximum likelihood estimator, Standardized residuals,
T. Nguyen, K. Gupta, L. Pardo
core   +1 more source

A New Family of BAN Estimators for Polytomous Logistic Regression Models based on ϕ- Divergence Measures

Multinomial sampling, Kullback–Leibler divergence measure, Minimum ϕ-divergence estimator, Polytomous regression model, Primary 62H15, Secondary 62H17,
T. Nguyen, L. Pardo, A. Gupta, D. Kasturiratna   +3 more
core   +1 more source

Some collapsibility results for n-dimensional contingency tables

Collapsibility, Conditional independence, Contingency table, Log-linear model, Möbius inversion, Simpson’s paradox, Strict collapsibility, Primary 62H17, Secondary 62E99, Secondary 05A05,
P. Vellaisamy, V. Vijay
core   +1 more source

Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories

Generalized marginal homogeneity, Kurtosis, Marginal homogeneity, Moment, Ordered category, Skewness, Square contingency table, 62H17, C39,
Sadao Tomizawa, Kouji Tahata
core   +1 more source

Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach

Data preparation, Discretization, Feature selection, Model selection, Supervised classification, 62H17, 62H20, 62H30,
Marc Boullé
core   +1 more source

Bayesian Selection of Log-Linear Models

, 1996
A general methodology is presented for finding suitable Poisson log-linear models with applications to multiway contingency tables. Mixtures of multivariate normal distributions are used to model prior opinion when a subset of the regression vector is ...
James H. Albert
core  

New families of estimators and test statistics in log-linear models

In this paper we consider categorical data that are distributed according to a multinomial, product-multinomial or Poisson distribution whose expected values follow a log-linear model and we study the inference problem of hypothesis testing in a log ...
Martín, Nirian, Pardo, Leandro
core  

A note on cuts for contingency tables

In this note, we propose a general method to find cuts for a contingency table. Useful cuts are, in many cases, statistics S-sufficient for the nuisance parameter and S-ancillary for the parameter of interest. In general, cuts facilitate a strong form of
Wang, Yuchung J., Ip, Edward H.
core