Reliable inference in infectious disease modeling requires careful treatment of both model structure and the relationship between latent infection dynamics and observed data. Likelihood functions, ...

Machine learning is centered on creating models that predict accurately. Evaluation metrics offer a way to gauge a model's efficiency, which allows us to refine or even switch algorithms based on ...

This repository contains code to generate a R package ("contamMix") that implements a mixture-model used to estimate contamination in ancient mitochondrial DNA using MCMC. The model is detailed in ...

This repo provides a class MHP for doing basic experimentation with a Hawkes process. It works for both uni- and multivariate processes, and implements both synthetic sequence generation and parameter ...

Remember that convergence is rarely guaranteed for non-linear estimates. If your problem never converges, it may not be a bug in Stata and it may not be worthwhile letting it run forever. It may be ...

Abstract: The problem of clock offset estimation in a two-way timing message exchange regime is considered when the likelihood function of the observation time stamps is Gaussian, exponential, or ...

Abstract: The proper use of distributed scatterer (DS) can improve both the density and quality of synthetic aperture radar (SAR) interferometry (InSAR) measurements. A critical step in DS ...

Spatial population genetic data often exhibits ‘isolation-by-distance,’ where genetic similarity tends to decrease as individuals become more geographically distant. The rate at which genetic ...

Laboratory tests are an important component in the diagnostic process. From an analytical point of view, most tests have reached high technical standards resulting in quantitative results with very ...