Results 21 to 30 of about 1,882,582 (293)
On the correspondence from Bayesian log-linear modelling to logistic regression modelling with $g$-priors [PDF]
, 2017 Consider a set of categorical variables where at least one of them is binary. The log-linear model that describes the counts in the resulting contingency table implies a specific logistic regression model, with the binary variable as the outcome.
Papathomas, Michail
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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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Maximum likelihood estimation in log-linear models
, 2012 We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator (MLE) of the model parameters and investigate ...
Fienberg, Stephen E. +1 more
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Graphical Log-linear Models: Fundamental Concepts and Applications [PDF]
, 2016 We present a comprehensive study of graphical log-linear models for contingency tables. High dimensional contingency tables arise in many areas such as computational biology, collection of survey and census data and others. Analysis of contingency tables
Gauraha, Niharika
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IT SECTOR DEVELOPMENT IN CLUJ-NAPOCA. THE CASE OF SMEs
Studia Universitatis Babeş-Bolyai Negotia, 2015 The purpose of this paper is to to explore the evolution of SMEs from Cluj-Napoca in the IT sector by looking into the following problems: the relationship between number of employees, type of ownership and type of activity, as well as relationship ...
Ioan Cristian CHIFU +2 more
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A model for retention on short, intermediate and long time-scale in ferroelectric thin films
, 2008 We developed a model with no adjustable parameter for retention loss at short and long time scale in ferroelectric thin-film capacitors. We found that the predictions of this model are in good agreement with the experimental observations in the ...
Lou, X. J.
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Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models
Mathematics, 2023 Graphical log-linear models are effective for representing complex structures that emerge from high-dimensional data. It is challenging to fit an appropriate model in the high-dimensional setting and many existing methods rely on a convenient class of ...
Lyndsay Roach, Xin Gao
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Static Data Structure Lower Bounds Imply Rigidity
, 2019 We show that static data structure lower bounds in the group (linear) model imply semi-explicit lower bounds on matrix rigidity. In particular, we prove that an explicit lower bound of $t \geq \omega(\log^2 n)$ on the cell-probe complexity of linear data
Agarwal Pankaj K. +9 more
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Quasi‐Symmetric Graphical Log‐Linear Models [PDF]
Scandinavian Journal of Statistics, 2010 Abstract. We propose an extension of graphical log‐linear models to allow for symmetry constraints on some interaction parameters that represent homologous factors. The conditional independence structure of such quasi‐symmetric (QS) graphical models is described by an undirected graph with coloured edges, in which a particular colour corresponds to a ...
GOTTARD, ANNA +2 more
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Estimation of the growth curve parameters in Macrobrachium rosenbergii [PDF]
, 2011 Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii ...
Gopal, Krishna +3 more
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