Distributed Solar: The Democratizaton of Energy
Blogroll
climate change
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper)
- Model state level energy policy for New Englad
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "Mighty Microgrids" Webinar
- "Warming Slowdown?" (part 2 of 2)
- The beach boondoggle
- Tell Utilities Solar Won't Be Killed
- Rabett Run
Archives
Jan Galkowski
Category Archives: slice sampling
Sampling: Rejection, Reservoir, and Slice
An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading
Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search
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