Results 71 to 80 of about 1,087,600 (300)

Zero-Inflated Data Analysis Using Graph Neural Networks with Convolution

Computers
Zero-inflated count data are characterized by an excessive frequency of zeros that cannot be adequately analyzed by a single distribution, such as Poisson or negative binomial.
Sunghae Jun
doaj   +1 more source

PENERAPAN REGRESI ZERO INFLATED GENERALIZED POISSON (ZIGP) PADA DATA OVERDISPERSION

E-Jurnal Matematika, 2019
Zero Inflated Generalized Poisson (ZIGP) is a regression model used to analyze Poisson distributed discrete data which contains mostly zero and tends to experience overdispersion (varians value greater than the mean value).
NI WAYAN AMANDA DEWI SULISTYANINGSIH, I KOMANG GDE SUKARSA, NI LUH PUTU SUCIPTAWATI   +2 more
doaj   +1 more source

Justification for considering zero-inflated models in crash frequency analysis

Transportation Research Interdisciplinary Perspectives, 2020
One common challenge of modeling intersection related crash data is the high proportion of sites with zero crashes. Extensive research has been done on appropriate methods to handle excess zeroes.
Timo Pew, Richard L. Warr, Grant G. Schultz, Matthew Heaton   +3 more
doaj   +1 more source

Bayesian Approaches to Zero Inflated Poisson Model [PDF]

Korean Journal of Applied Statistics, 2011
In this paper, we consider Bayesian approaches to zero inflated Poisson model, one of the popular models to analyze zero inflated count data. To generate posterior samples, we deal with a Markov Chain Monte Carlo method using a Gibbs sampler and an exact sampling method using an Inverse Bayes Formula(IBF).
Ji-Ho Lee, Tae-Ryon Choi, Yoon-Sung Wo
openaire   +1 more source

Navigating the Dichotomy of Uncertainty in Green Innovation and Digital Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Amid growing environmental pressures and rapid technological disruption, understanding how digitalization reshapes corporate sustainability strategies has become increasingly vital. Supply chain digitalization (SCD) plays a pivotal role in enhancing firms' adaptive capacity, operational transparency, and innovation efficiency.
Chengming Huang, Su Hanghang, Sultan Sikandar Mirza   +2 more
wiley   +1 more source

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

PLoS 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

Software defect prediction with zero-inflated Poisson models

CoRR, 2019
In this work we apply several Poisson and zero-inflated models for software defect prediction. We apply different functions from several R packages such as pscl, MASS, R2Jags and the recent glmmTMB. We test the functions using the Equinox dataset. The results show that Zero-inflated models, fitted with either maximum likelihood estimation or with ...
Daniel Rodríguez 0001, José Javier Dolado, Javier Tuya, Dietmar Pfahl   +3 more
openaire   +2 more sources

Consistent estimation of zero-inflated count models [PDF]

Applications 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.
Rainer Winkelmann, Kevin E. Staub
core  

Zero-inflated Poisson model (ZIP) for intestinal and urogenital schistosomiasis at ward level.

Zero-inflated Poisson model (ZIP) for intestinal and urogenital schistosomiasis at ward level.
Sake J. de Vlas (7181423), Humphrey D. Mazigo (10031872), Ente J. J. Rood (13171033), Linda van der Spek (17797708), George Kabona (8038988), Andreas Nshala (4491367), Jake D. Mathewson (17797705)   +6 more
core   +1 more source

Disclosure, Verification, and Value: The Impact of Climate Risk Disclosure on Institutional On‐Site Research and Economic Consequences

Business Strategy and the Environment, EarlyView.
ABSTRACT Based on signaling theory and information asymmetry theory, this study uses a sample of Chinese A share listed firms from 2012 to 2023 to examine the effect of climate risk disclosure (CRD) on institutional on‐site research and its economic consequences.
Sha Tang, Chante Jian Ding, Abdullahi D. Ahmed   +2 more
wiley   +1 more source