Asymptotic properties of the QMLE in a log-linear RealGARCH model with Gaussian errors
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Papers"
DOI: 10.1007/s00362-018-1051-8
Abstract: To incorporate the realized volatility in stock return, Hansen et al. (J Appl Econ 27:877–906, 2012) proposed a RealGARCH model and conjectured some theoretical properties about the quasi-maximum likelihood estimation (QMLE) for parameters in a… read more here.
Keywords: realgarch model; realgarch; log linear; gaussian errors ... See more keywords
The Log-Linear Birnbaum-Saunders Power Model
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DOI: 10.1007/s11009-016-9526-3
Abstract: In this paper the sinh-power model is developed as a natural follow up to the log-linear Birnbaum-Saunders power model. The class of models resulting, incorporates the sinh-power-normal model, the ordinary sinh-normal model and the log-linear… read more here.
Keywords: linear birnbaum; birnbaum saunders; power; model ... See more keywords
Estimation of Coda Q for northeast India using nonlinear regression
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Earth System Science"
DOI: 10.1007/s12040-020-01483-0
Abstract: Abstract Classical logarithmic linearization of the single backscattering model to estimate the coda Q ( $$ Q_{c} ) $$ Q c ) leads to biased results in the presence of low signal-to-noise ratio. Non-linear regression… read more here.
Keywords: regression; non linear; coda; linear approach ... See more keywords
Assortment optimization with log-linear demand: Application at a Turkish grocery store
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Retailing and Consumer Services"
DOI: 10.1016/j.jretconser.2019.04.007
Abstract: Abstract In retail sector, product variety increases faster than shelf spaces of retail stores where goods are presented to consumers. Hence, assortment planning is an important task for sustained financial success of a retailer in… read more here.
Keywords: optimization log; optimization; log linear; assortment optimization ... See more keywords
Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1813587
Abstract: Abstract We introduce Bayesian additive regression trees (BART) for log-linear models including multinomial logistic regression and count regression with zero-inflation and overdispersion. BART has been applied to nonparametric mean regression and binary classification problems in… read more here.
Keywords: regression; multinomial logistic; regression trees; log linear ... See more keywords
Hydrogeophysical data integration through Bayesian Sequential Simulation with log-linear pooling
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DOI: 10.1093/gji/ggaa072
Abstract: Bayesian sequential simulation (BSS) is a geostastistical technique, which uses a secondary variable to guide the stochastic simulation of a primary variable. As such, BSS has proven significant promise for the integration of disparate hydrogeophysical… read more here.
Keywords: bayesian sequential; linear pooling; log linear; simulation ... See more keywords
Convergence Analysis of Log-Linear Learning of Games With Irrationality
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2025.3577386
Abstract: This article investigates the effect of irrational behaviors on the expected convergence speed to the Nash equilibrium (NE) set within the log-linear learning (LLL) model. First, a significant augmentation for the classical LLL model is… read more here.
Keywords: log linear; linear learning; expected convergence; convergence speed ... See more keywords
Estimation of cis-eQTL effect sizes using a log of linear model.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12810
Abstract: The study of expression Quantitative Trait Loci (eQTL) is an important problem in genomics and biomedicine. While detection (testing) of eQTL associations has been widely studied, less work has been devoted to the estimation of… read more here.
Keywords: linear model; effect; model; expression ... See more keywords
Clinical implications of the log linear association between LDL-C lowering and cardiovascular risk reduction: Greatest benefits when LDL-C >100 mg/dl
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DOI: 10.1371/journal.pone.0240166
Abstract: Background The log linear association between on-treatment LDL-C levels and ASCVD events is amplified in higher risk patient subgroups of statin versus placebo trials. Objectives Update previous systematic review to evaluate how the log linear… read more here.
Keywords: risk; linear association; log linear; ldl lowering ... See more keywords
A Log-Linear Analysis of Efficiency in Wheelchair Basketball According To Player Classification
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Human Kinetics"
DOI: 10.2478/hukin-2022-0022
Abstract: Abstract Within the framework of observational methodology, we conducted a log-linear analysis to study efficiency in relation to players’ functional ability in wheelchair basketball by analyzing associations between the position of the last pass before… read more here.
Keywords: basketball; linear analysis; wheelchair basketball; log linear ... See more keywords
Variational Bayesian Inference for a Q-Matrix-Free Hidden Markov Log-Linear Additive Cognitive Diagnostic Model
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DOI: 10.3390/a18110675
Abstract: Cognitive diagnostic models (CDMs) are commonly used in educational assessment to uncover the specific cognitive skills that contribute to student performance, allowing for precise identification of individual strengths and weaknesses and the design of targeted… read more here.
Keywords: log linear; linear additive; hidden markov; additive cognitive ... See more keywords