Results 51 to 60 of about 42,459 (144)
Zero-Inflated Text Data Analysis Using Imbalanced Data Sampling and Statistical Models
ComputersText data often exhibits high sparsity and zero inflation, where a substantial proportion of entries in the document–keyword matrix are zeros. This characteristic presents challenges to traditional count-based models, which may suffer from reduced ...
Sunghae Jun
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Analysis of the Railway Accident-Related Damages in South Korea
Applied Sciences, 2020 Railway accidents are critical issues characterized by a large number of injuries and fatalities per accident due to massive public transport systems. This study proposes a new approach for evaluating the damages resulting from railway accidents using ...
Man Sik Park +3 more
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Bayesian Neural Networks with Regularization for Sparse Zero-Inflated Data Modeling
InformationZero inflation is pervasive across text mining, event log, and sensor analytics, and it often degrades the predictive performance of analytical models. Classical approaches, most notably the zero-inflated Poisson (ZIP) and zero-inflated negative binomial
Sunghae Jun
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Bayesian Variable Selection for Zero-inflated Longitudinal Count Data
Revstat Statistical JournalIn this paper, we consider Bayesian variable selection in the special cases of the zero-inflated power series model, viz., zero-inflated Poisson and negative binomial models for zero-inflated longitudinal count data.
Nawar Alsalim, Taban Baghfalaki
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Patent Keyword Analysis Using Bayesian Zero-Inflated Model and Text Mining
StatsPatent 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
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A Poisson-Gamma Model for Zero Inflated Rainfall Data
Journal of Probability and Statistics, 2018 Rainfall modeling is significant for prediction and forecasting purposes in agriculture, weather derivatives, hydrology, and risk and disaster preparedness.
Nelson Christopher Dzupire +2 more
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Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications
Genome Biology, 2018 Dropout events in single-cell RNA sequencing (scRNA-seq) cause many transcripts to go undetected and induce an excess of zero read counts, leading to power issues in differential expression (DE) analysis.
Koen Van den Berge +8 more
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Simulation Study of Bayesian Zero Inflated Poisson Regression
Cauchy: Jurnal Matematika Murni dan AplikasiBayesian merupakan salah satu metode estimasi parameter yang dapat diaplikasikan pada ukuran sampel yang kecil. Zero Inflated Poisson merupakan salah satu metode untuk menganalisis data Poisson yang mengalami overdispersion.
Candra Rezzing Weni Utomo +2 more
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bizicount: Bivariate Zero-Inflated Count Copula Regression Using R
Journal of Statistical SoftwareTwo common issues arise in regression modelling of bivariate count data: (i) dependence across outcomes, and (ii) excess zero counts (i.e., zero inflation).
John M. Niehaus +3 more
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Tests for zero-inflation and overdispersion
, 2008 We propose a new methodology to detect zero-inflation and overdispersion based on the comparison of the expected sample extremes among convexly ordered distributions. The method is very flexible and includes tests for the proportion of structural zeros in zero-inflated models, tests to distinguish between two ordered parametric families and a new ...
Baillo, A. +2 more
openaire +2 more sources