Whether using Excel or Python, every data analyst is taught that "increasing the sample size improves accuracy." However, ...

Maximum likelihood (ML) inferences use taxon-environment relationships of taxa that are present and taxa that are absent from a site to estimate the most likely environmental conditions. The simplest ...

A new study presents two information-preserving maximum likelihood methods for analyzing Global Navigation Satellite System (GNSS) coordinate time series when colored noise is non-stationary and ...

The likelihood equation for a logistic regression model does not always have a finite solution. Sometimes there is a nonunique maximum on the boundary of the parameter space, at infinity. The ...

The rapid accumulation of genome sequence data has made phylogenetics an indispensable tool to various branches of biology. However, it has also posed considerable statistical and computational ...

Although epistasis is an important phenomenon in the genetics and evolution of complex traits, epistatic effects are hard to estimate. The main problem is due to the overparameterized epistatic ...

When you want to test whether the coefficient of a certain explanatory variable is zero in regression analysis, I think many ...