Distributed Solar: The Democratizaton of Energy
Blogroll
- Team Andrew Weinberg
- In Monte Carlo We Trust
- Leverhulme Centre for Climate Change Mitigation
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- Logistic curves in market disruption
- Dollars per BBL: Energy in Transition
- Quotes by Nikola Tesla
- Slice Sampling
- Label Noise
- Pat's blog
climate change
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Climate at a glance
- Mrooijer's Global Temperature Explorer
- "Warming Slowdown?" (part 2 of 2)
- "Mighty Microgrids" Webinar
- Isaac Held's blog
- Dessler's 6 minute Greenhouse Effect video
- Risk and Well-Being
- Earth System Models
- CLIMATE ADAM
Archives
Jan Galkowski
Category Archives: Andrew Harvey
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
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 prediction intervals
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