The COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data [PDF]
, 2017 Huiming Zhang, Kai Tan, Bo Li
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Interpretable trajectory inference with single-cell linear adaptive negative-binomial expression (scLANE) testing. [PDF]
Nucleic Acids ResLeary JR, Dong X, Bacher R.
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A Commentary on Chatterjee Et Al. (2018): A Corrected Framework for Group Sparsity in Zero-Inflated Negative Binomial Models. [PDF]
Stat MedIqbal A, Mallick H, Ogundimu EO.
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Random Parameter Negative Binomial Models of Interstate Accident Frequencies on Interchange Segment by Interchange Type/Region [PDF]
, 2014 Geunhee Lee, Minho Park, jeonghyun Roh
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Geographic disparities and predictors of suicide mortality risk in Florida: spatial scan statistics and negative binomial modeling. [PDF]
PeerJOnyuth H, Day C, Deb Nath N, Odoi A.
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A bivariate zero-inflated negative binomial model and its applications to biomedical settings. [PDF]
Stat Methods Med Res, 2023 Cho H, Liu C, Preisser JS, Wu D.
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The Impact of Extreme Weather on Dengue Fever in Guangzhou, China: A Zero-Inflated Negative Binomial Spatial Lag Analysis. [PDF]
GeohealthOuyang X, Shi F, Qiu Y, Deng G, Zhang S.
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Entanglement and Fisher Information for Atoms-Field System in the Presence of Negative Binomial States. [PDF]
Entropy (Basel), 2022 Berrada K +3 more
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Regional Disparities in Mortality Trends for Hypertensive Heart Disease With and Without Heart Failure in the United States: A Negative Binomial Modeling and Forecasting Analysis. [PDF]
CureusBrady HW +4 more
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