### Distributed Solar: The Democratizaton of Energy

### Blogroll

- South Shore Recycling Cooperative
- Dollars per BBL: Energy in Transition
- Mike Bloomberg, 2020
- Mrooijer's Numbers R 4Us
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Prediction vs Forecasting: Knaub
- James' Empty Blog
- "Perpetual Ocean" from NASA GSFC
- Fear and Loathing in Data Science
- WEAPONS OF MATH DESTRUCTION

### climate change

- "Climate science is setttled enough"
- The beach boondoggle
- CLIMATE ADAM
- Spectra Energy exposed
- Climate impacts on retail and supply chains
- The Scientific Case for Modern Human-caused Global Warming
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH)
- An open letter to Steve Levitt
- Climate model projections versus observations
- Updating the Climate Science: What path is the real world following?

### Archives

# Category Archives: boosting

## HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model

Happy Vernal Equinox! This post has been updated today with some of the equations which correspond to the models. An assessment of whether or not there was a meaningful slowdown or “hiatus” in global warming, was recently discussed by Tamino … Continue reading

Posted in AMETSOC, anemic data, Bayesian, boosting, bridge to somewhere, cat1, changepoint detection, climate, climate change, climate data, climate disruption, climate models, complex systems, computation, data science, dynamical systems, geophysics, George Sughihara, global warming, hiatus, information theoretic statistics, machine learning, maths, meteorology, MIchael Mann, multivariate statistics, physics, prediction, Principles of Planetary Climate, rationality, reasonableness, regime shifts, sea level rise, time series
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## 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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