Results 31 to 40 of about 52,825 (304)

Structural zeroes and zero-inflated models.

open access: yesShanghai archives of psychiatry, 2014
In psychosocial and behavioral studies count outcomes recording the frequencies of the occurrence of some health or behavior outcomes (such as the number of unprotected sexual behaviors during a period of time) often contain a preponderance of zeroes because of the presence of 'structural zeroes' that occur when some subjects are not at risk for the ...
HE, Hua   +3 more
openaire   +2 more sources

Higgs inflation in the Palatini formulation with kinetic terms for the metric

open access: yesThe Open Journal of Astrophysics, 2019
We consider scalar field inflation in the Palatini formulation of general relativity. The covariant derivative of the metric is then non-zero. From the effective theory point of view it should couple to other fields.
Syksy Räsänen
doaj   +2 more sources

CONSISTENT ESTIMATION OF ZERO‐INFLATED COUNT MODELS [PDF]

open access: yesHealth Economics, 2012
ABSTRACTApplications of zero‐inflated count data models have proliferated in health economics. However, zero‐inflated Poisson or zero‐inflated negative binomial maximum likelihood estimators are not robust to misspecification. This article proposes Poisson quasi‐likelihood estimators as an alternative. These estimators are consistent in the presence of
Staub, Kevin E, Winkelmann, Rainer
openaire   +4 more sources

Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.

open access: yesPLoS ONE
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies.
Gadir Alomair
doaj   +1 more source

Estimation Parameters And Modelling Zero Inflated Negative Binomial

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2016
Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti   +1 more
doaj   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto   +12 more
wiley   +1 more source

Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates [PDF]

open access: yes, 2006
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter.
Erhardt, Vinzenz   +2 more
core   +1 more source

Approximation of Zero-Inflated Poisson Credibility Premium via Variational Bayes Approach

open access: yesRisks, 2022
While both zero-inflation and the unobserved heterogeneity in risks are prevalent issues in modeling insurance claim counts, determination of Bayesian credibility premium of the claim counts with these features are often demanding due to high ...
Minwoo Kim, Himchan Jeong, Dipak Dey
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi   +17 more
wiley   +1 more source

Patent Keyword Analysis Using Bayesian Zero-Inflated Model and Text Mining

open access: yesStats
Patent keyword analysis is used to analyze the technology keywords extracted from collected patent documents for specific technological fields. Thus, various methods related to this type of analysis have been researched in the industrial engineering ...
Sunghae Jun
doaj   +1 more source

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