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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…
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Keywords:
realgarch model;
realgarch;
log linear;
gaussian errors ... See more keywords
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Published in 2017 at "Methodology and Computing in Applied Probability"
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…
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Keywords:
linear birnbaum;
birnbaum saunders;
power;
model ... See more keywords
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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…
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Keywords:
regression;
non linear;
coda;
linear approach ... See more keywords
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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…
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Keywords:
optimization log;
optimization;
log linear;
assortment optimization ... See more keywords
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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…
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Keywords:
regression;
multinomial logistic;
regression trees;
log linear ... See more keywords
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Published in 2020 at "Geophysical Journal International"
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…
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Keywords:
bayesian sequential;
linear pooling;
log linear;
simulation ... See more keywords
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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…
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Keywords:
linear model;
effect;
model;
expression ... See more keywords
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Published in 2020 at "PLoS ONE"
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…
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Keywords:
risk;
linear association;
log linear;
ldl lowering ... See more keywords
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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…
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Keywords:
basketball;
linear analysis;
wheelchair basketball;
log linear ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11092121
Abstract: Choosing the best attribute from a dataset is a crucial step in effective logic mining since it has the greatest impact on improving the performance of the induced logic. This can be achieved by removing…
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Keywords:
neural network;
hopfield neural;
discrete hopfield;
log linear ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11112514
Abstract: 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…
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Keywords:
local genetic;
genetic algorithm;
log linear;
linear models ... See more keywords