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DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS
Ecosistemas y Recursos Agropecuarios, 2014 a procedure is definid for obtaining maximun likelihood estimates for the parameters of a family of log - linear models which includes the general log - linear model, logit models, multinominal logit models, and association models as well as models for ...
Robert J. Flowers
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Comparisons of models of associative recall [PDF]
Memory & Cognition, 1981 We tested three mathematical models of associative recall that differ in the assumed structure of the memory trace (direct or indirect connections between parts) and the interdependence of the connections (independent or correlated). The three models compared are the “horizontal” model with direct, independent connections, the “schema” model with ...
B H, Ross, G H, Bower
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A statistical model of skewed-associativity [PDF]
2003 IEEE International Symposium on Performance Analysis of Systems and Software. ISPASS 2003., 2003 This paper presents a statistical model of set-associativity, victim caching and skewed-associativity, with an emphasis on skewed-associativity. We show that set-associativity is not efficient when the working-set size is close to the cache size. We refer to this as the unit working-set problem.
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Associative Skill Memory Models [PDF]
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 Associative Skill Memories (ASMs) were formulated to encode stereotypical movements along with their stereotypical sensory events to increase the robustness of underlying dynamic movement primitives (DMPs) against noisy perception and perturbations.
Hakan Girgin, Emre Ugur
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A Model-Free Approach for Testing Association [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2021 AbstractThe question of association between outcome and feature is generally framed in the context of a model based on functional and distributional forms. Our motivating application is that of identifying serum biomarkers of angiogenesis, energy metabolism, apoptosis and inflammation, predictive of recurrence after lung resection in node-negative non ...
Chatterjee, Saptarshi +2 more
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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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Meta-analysis for genome-wide association studies using case-control design: application and practice [PDF]
Epidemiology and Health, 2016 This review aimed to arrange the process of a systematic review of genome-wide association studies in order to practice and apply a genome-wide meta-analysis (GWMA).
Sungryul Shim +4 more
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Modeling Associative Reasoning Processes
CoRR, 2022 arXiv admin note: text overlap with arXiv:2001 ...
Claudia Schon +2 more
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A novel computational strategy for DNA methylation imputation using mixture regression model (MRM)
BMC Bioinformatics, 2020 Background DNA methylation is an important heritable epigenetic mark that plays a crucial role in transcriptional regulation and the pathogenesis of various human disorders.
Fangtang Yu +3 more
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Federated generalized linear mixed models for collaborative genome-wide association studies
iScience, 2023 Summary: Federated association testing is a powerful approach to conduct large-scale association studies where sites share intermediate statistics through a central server. There are, however, several standing challenges.
Wentao Li +3 more
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