The Poisson binomial distribution is extended by introducing correlation and dependence. Gaussian and shifted gamma factor models are integrated with the Poisson binomial distribution framework. Monte ...

Poisson: Binomial: l i = [r i log(p i) + (n i-r i) log(1-p i)] Multinomial: For the binomial, multinomial, and Poisson distribution, terms involving binomial coefficients or factorials of the observed ...

Webster applied a Poisson-Binomial distribution with a Weibull model to predict the incidence of 222 common diseases for approximately 500,000 individuals within the UK Biobank cohort, taking into ...

Poisson’s distribution for Markoff chains. Proceedings of the National Academy of Sciences of the United States of America, 3:202–207, 1950. ... E. Omey, J. Santos, and S. Van Gulck. A markov-binomial ...

Webster applied a Poisson-Binomial distribution with a Weibull model to predict the incidence of 222 common diseases for approximately 500,000 individuals within the UK Biobank cohort, taking into ...

Webster applied a Poisson-Binomial distribution with a Weibull model to predict the incidence of 222 common diseases for approximately 500,000 individuals within the UK Biobank cohort, taking into ...

Quasi-Likelihood Functions For binomial and Poisson distributions, the scale parameter has a value of 1. The variance of Y is for the binomial distribution and for the Poisson distribution.