Abstract: Big data analysis involves additional challenges when applying popular machine learning techniques because of the scalability issue. Hence, some innovative approaches to summarizing huge ...

The beta-binomial regression is a simple regression model for effect size comparisons in scRNA-seq perturb data. The method is suitable for both high and low moi perturb-seq data, including dual guide ...

1 Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London Ontario, Canada. 2 Department of Biostatistics, Epidemiology and ...

Quasi-Poisson and negative binomial regression models have equal numbers of parameters, and either could be used for overdispersed count data. While they often give similar results, there can be ...

Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.

1 Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada. 2 Department of Biostatistics, Epidemiology and Scientific ...

In order to forecast and make provisions for future demand of motorcycle in Akure, there is a need to understand factors driving motorcycle ownership, therefore, this study examines factors which ...