### Distributed Solar: The Democratizaton of Energy

### Blogroll

- In Monte Carlo We Trust
- Musings on Quantitative Paleoecology
- AP Statistics: Sampling, by Michael Porinchak
- Giant vertical monopolies for energy have stopped making sense
- Subsidies for wind and solar versus subsidies for fossil fuels
- "Consider a Flat Pond"
- Pat's blog
- The Keeling Curve: its history
- Number Cruncher Politics
- John Kruschke's "Dong Bayesian data analysis" blog

### climate change

- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper)
- World Weather Attribution
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- weather blocking patterns
- Professor Robert Strom's compendium of resources on climate change
- Isaac Held's blog
- Simple box models and climate forcing
- Exxon-Mobil statement on UNFCCC COP21
- The Keeling Curve

### Archives

### Jan Galkowski

# Category Archives: Yoav Freund

## high dimension Metropolis-Hastings algorithms

If attempting to simulate from a multivariate standard normal distribution in a large dimension, when starting from the mode of the target, i.e., its mean γ, leaving the mode γis extremely unlikely, given the huge drop between the value of the density at the mode γ and at likely realisations Continue reading

Posted in Bayes, Bayesian, Bayesian inversion, boosting, chance, Christian Robert, computation, ensembles, Gibbs Sampling, James Spall, Jerome Friedman, Markov Chain Monte Carlo, mathematics, maths, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical software, numerics, optimization, reasonableness, Robert Schapire, SPSA, state-space models, statistics, stochastic algorithms, stochastic search, stochastics, Yoav Freund
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