IIT Guwahati has released the Data Science & Artificial Intelligence subject this year. Download the GATE Data Science & ...

This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion. Unlike previous studies that ...

Abstract: This article addresses the challenges faced by Gm-APD detectors in lidar systems when detecting weak signals. We use a triggering model based on the negative binomial distribution, which ...

Deconvolution methods have traditionally focused on estimating cell-type proportions in bulk tissues with mRNA profiles. They often overlook the cell transcriptional proportion (i.e., transcriptional ...

1 School of Economics and Business Administration, Chongqing University, Chongqing, China 2 Gustavson School of Business, University of Victoria, Victoria, BC, Canada Introduction: High-Deductible ...

The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation study ...

Add a description, image, and links to the negative-binomial-distribution topic page so that developers can more easily learn about it.