Distributed Solar: The Democratizaton of Energy
Blogroll
climate change
- Updating the Climate Science: What path is the real world following?
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Dessler's 6 minute Greenhouse Effect video
- Warming slowdown discussion
- "Betting strategies on fluctuations in the transient response of greenhouse warming"
- Climate impacts on retail and supply chains
- "A field guide to the climate clowns"
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- weather blocking patterns
- Professor Robert Strom's compendium of resources on climate change
Archives
Jan Galkowski
Category Archives: Simpson’s Paradox
Cory Lesmeister’s treatment of Simson’s Paradox (at “Fear and Loathing in Data Science”)
(Updated 2016-05-08, to provide reference for plateaus of ML functions in vicinity of MLE.) Simpson’s Paradox is one of those phenomena of data which really give Statistics a substance and a role, beyond the roles it inherits from, say, theoretical … Continue reading
Posted in Akaike Information Criterion, approximate Bayesian computation, Bayes, Bayesian, evidence, Frequentist, games of chance, information theoretic statistics, Kalman filter, likelihood-free, mathematics, maths, maximum likelihood, Monte Carlo Statistical Methods, probabilistic programming, rationality, Rauch-Tung-Striebel, Simpson's Paradox, state-space models, statistical dependence, statistics, stochastics
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