Category Archives: Radford Neal

“Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog)

Posted on 4 May 2020 by ecoquant

Thorough review with documentation and technical criticism of claims of COVID-19 seasonality or its lack. Whichever way this comes down, the links are well worth the visit! Will the incidence of COVID-19 decrease in the summer? There is reason to … Continue reading →

Posted in COVID-19, differential equations, diffusion, diffusion processes, epidemiology, Lotka-Volterra systems, meteorology, pandemic, population biology, population dynamics, Radford Neal, SARS-CoV-2, statistics | Leave a comment

Sampling: Rejection, Reservoir, and Slice

Posted on 29 September 2018 by ecoquant

An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading →

Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search | Leave a comment