Are you ready to order critical parts and products from a manufacturer the same way you order a cheeseburger from a fast-food restaurant? Leaders at industrial distributors soon could have to answer ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

The complex nature of microbiome data has made the differential abundance analysis challenging. Microbiome abundance counts are often skewed to the right and heteroscedastic (also known as ...

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada. This paper has three-fold objectives. Firstly, we ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

That unexpected ingredient is something called a plasticizer: a chemical used to make plastic more flexible and durable. Today, plasticizers—the most common of which are called phthalates—show up ...

I'm working on a Poisson regression example. I define the objective in JAX and then optimize it in two different ways: With jax.scipy.optimize With scipy.optimize I ...

This study presents the application of a new semi-analytical method of linear regression for Poisson count data to COVID-19 events. The regression is based on the maximum-likelihood solution for the ...

This is an excellent job. Currently, I would like to complete and implement some of my ideas through your library. I am learning how to use HMC to build BPINN, looking at forward examples of posts can ...