### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Ives and Dakos techniques for regime changes in series
- Simon Wood's must-read paper on dynamic modeling of complex systems
- Fear and Loathing in Data Science
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Charlie Kufs' "Stats With Cats" blog
- Beautiful Weeds of New York City
- SASB
- Healthy Home Healthy Planet
- What If

### climate change

- AIP's history of global warming science: impacts
- Warming slowdown discussion
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- “Ways to [try to] slow the Solar Century''
- "A field guide to the climate clowns"
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Berkeley Earth Surface Temperature
- Équiterre
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Climate change: Evidence and causes

### Archives

### Jan Galkowski

# 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

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

*Overleaf*

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.

Posted in collaboration, LaTeX, Overleaf, ShareLaTeX
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