Analytical results for directional and quadratic selection gradients for log-linear models of fitness functions. [PDF]
Evolution, 2022 Established methods for inference about selection gradients involve least-squares regression of fitness on phenotype. While these methods are simple and may generally be quite robust, they do not account well for distributions of fitness.
Morrissey MB, Goudie IBJ.
europepmc +2 more sources
TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS. [PDF]
Ann Stat, 2017 Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate ...
Johndrow JE, Bhattacharya A, Dunson DB.
europepmc +3 more sources
Exact Hypothesis Tests for Log-linear Models with exactLoglinTest [PDF]
Journal of Statistical Software, 2006 This manuscript overviews exact testing of goodness of fit for log-linear models using the R package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal sufficient statistics to remove nuisance ...
Brian Caffo
doaj +4 more sources
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Computational Linguistics, 2021 This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are full parsing models in the sense that probabilities are defined for complete parses, rather than for independent events ...
Stephen Clark, James R. Curran
doaj +2 more sources
Modelling child anaemia and co-existing infections using log-linear models [PDF]
Malaria JournalBackground Uganda grapples with a considerable anaemia-malaria-fever burden, reporting approximate prevalence rates as high as 33%, 34%, and 37% in specific regions.
Grace Kakaire +3 more
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Maximum likelihood estimation in log-linear models [PDF]
, 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 +4 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
doaj +2 more sources
Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables [PDF]
Journal of Statistical Software, 2007 The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters
Carolyn J. Anderson +2 more
doaj +1 more source
Interpretation of Epidemiological Data Using Multiple Correspondence Analysis and Log-linear Models
Journal of Data Science, 2021 In this work we present a combined approach to contingency tables analysis using correspondence analysis and log-linear models. Several investigators have recognized relations between the aforementioned method- ologies, in the past.
D. Panagiotakos, C. Pitsavos
semanticscholar +1 more source
Log-Linear Error State Model Derivation Without Approximation for INS [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2022 Through assembling the navigation parameters as the matrix Lie group state, the corresponding inertial navigation system (INS) kinematic model possesses a group-affine property.
Lubin Chang, Yarong Luo
semanticscholar +1 more source