Adapting the Insurance Pricing Model for Distribution Channel Expansion Using the Bayesian Generalized Linear Model [PDF]
Operations Research and DecisionsThe insurance market is changing due to new distribution channels, requiring insurers to update their pricing models. We propose a mathematical approach using Bayesian generalized linear models (GLM) to adjust insurance pricing. Our strategy modifies the
Carina Gunawan +2 more
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MET and AKT genetic influence on facial emotion perception. [PDF]
PLoS ONE, 2012 BackgroundFacial emotion perception is a major social skill, but its molecular signal pathway remains unclear. The MET/AKT cascade affects neurodevelopment in general populations and face recognition in patients with autism.
Ming-Teng Lin +5 more
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Multivariate Hierarchical Frameworks for Modelling Delayed Reporting in Count Data [PDF]
, 2019 In many fields and applications count data can be subject to delayed reporting. This is where the total count, such as the number of disease cases contracted in a given week, may not be immediately available, instead arriving in parts over time.
Dobson A., Gelman A., R Core Team
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Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features
Frontiers in Human Neuroscience, 2013 The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion.
Pamela eDouglas +10 more
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Experimental Design Modulates Variance in BOLD Activation: The Variance Design General Linear Model
, 2018 Typical fMRI studies have focused on either the mean trend in the blood-oxygen-level-dependent (BOLD) time course or functional connectivity (FC). However, other statistics of the neuroimaging data may contain important information.
Gaut, Garren +3 more
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Bayesian Credibility for GLMs [PDF]
, 2018 We revisit the classical credibility results of Jewell and B\"uhlmann to obtain credibility premiums for a GLM using a modern Bayesian approach. Here the prior distributions can be chosen without restrictions to be conjugate to the response distribution.
Garrido, José +1 more
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General Linear Models: An Integrated Approach to Statistics [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 Generally, in psychology, the various statistical analyses are taught independently from each other. As a consequence, students struggle to learn new statistical analyses, in contexts that differ from their textbooks.
Andrew Faulkner, Sylvain Chartier
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Imaging haemodynamic changes related to seizures: comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG [PDF]
, 2010 Background: Simultaneous EEG-fMRI can reveal haemodynamic changes associated with epileptic activity which may contribute to understanding seizure onset and propagation. Methods: Nine of 83 patients with focal epilepsy undergoing pre-surgical evaluation
Cannadathu, S. +9 more
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Parametric Statistics and the General Linear Model
Spreadsheets in Education, 2014 Too many students acquire statistical knowledge and techniques independent of each other. The purpose of this paper is to illustrate the many connections mathematically between parametric statistics and the General Linear Model.
John A Rochowicz Jr
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Sparse Regression with Multi-type Regularized Feature Modeling
, 2020 Within the statistical and machine learning literature, regularization techniques are often used to construct sparse (predictive) models. Most regularization strategies only work for data where all predictors are treated identically, such as Lasso ...
Antonio, Katrien +3 more
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