Category Archives: LaTeX

Phase Plane plots of COVID-19 deaths with uncertainties

I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading

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Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms | Tagged | Leave a comment

Overleaf: `#FuturePub London returned to a full house!’, 10 April 2019

I have switched from basic desktop MikTex to Overleaf for most of my day-to-day needs. They recently had a FuturePub session in London. I’m enthusiastic about their capability and degree of support, especially in their documentation.

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Posted in collaboration, LaTeX, Overleaf, ShareLaTeX | Leave a comment