Results 21 to 30 of about 1,574,453 (263)
Structure learning: some testing problems
Lietuvos Matematikos Rinkinys, 2005 The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just
Marijus Radavičius +1 more
doaj +3 more sources
Revista de Saúde Pública, 1998 INTRODUÇÃO: As estatísticas dos acidentes de trabalho, como qualquer outro sistema de notificação, devem servir de base para determinar prioridades e decidir quais medidas preventivas devem ser adotadas.
Rosana F. Sampaio +3 more
doaj +1 more source
Feature-Based Decipherment for Machine Translation [PDF]
Computational Linguistics, 2018 Orthographic similarities across languages provide a strong signal for unsupervised probabilistic transduction (decipherment) for closely related language pairs.
Iftekhar Naim +2 more
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Log-linear distance models of homophily in small groups
Methodological Innovations, 2016 This article demonstrates the innovative use of the log-linear distance model in the assessment of homophily in a set of small groups, such as the co-participants in a set of events. It traces the development of the application of the log-linear distance
Peter J Carrington
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ϕ-Divergence in Contingency Table Analysis
Entropy, 2018 The ϕ -divergence association models for two-way contingency tables is a family of models that includes the association and correlation models as special cases. We present this family of models, discussing its features and demonstrating the role of
Maria Kateri
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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
core +3 more sources
Analysis of Traffic Accidents Caused by Drivers by Using Log-Linear Models
Promet (Zagreb), 2012 Log-linear modelling is advanced as a procedure to identify factors that underlie the relative frequency of occurrence of various characteristics.
Hülya Olmuş, Semra Erbaş
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A Population Balance Model to Describe the Evolution of Sublethal Injury
Foods, 2021 The detection and quantification of sublethal injury (SI) of pathogenic microorganisms has become a common procedure when assessing the efficiency of microbial inactivation treatments.
Simen Akkermans +3 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
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source