Distributed Solar: The Democratizaton of Energy
Blogroll
climate change
- "Betting strategies on fluctuations in the transient response of greenhouse warming"
- ATTP summarizes all that stuff about Committed Warming
- `The unchained goddess'
- Updating the Climate Science: What path is the real world following?
- HotWhopper: It's excellent.
- Nick Bower's "Scared Scientists"
- Documenting the Climate Deniarati at work
- SolarLove
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Social Cost of Carbon
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Jan Galkowski
Category Archives: Scargle
Bayesian blocks via PELT in R
The Bayesian blocks algorithm of Scargle, Jackson, Norris, and Chiang has an enthusiastic user community in astrostatistics, in data mining, and among some in machine learning. It is a dynamic programming algorithm (see VanderPlas referenced below) and, so, exhibits optimality … Continue reading
Posted in American Statistical Association, AMETSOC, anomaly detection, astrophysics, Cauchy distribution, changepoint detection, engineering, geophysics, multivariate statistics, numerical analysis, numerical software, numerics, oceanography, population biology, population dynamics, Python 3, quantitative biology, quantitative ecology, R, Scargle, spatial statistics, square wave approximation, statistics, stepwise approximation, time series, Woods Hole Oceanographic Institution
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