### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Professor David Draper
- The Mermaid's Tale
- Ted Dunning
- South Shore Recycling Cooperative
- SASB
- Brendon Brewer on Overfitting
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- Why "naive Bayes" is not Bayesian
- Brian McGill's Dynamic Ecology blog
- Ives and Dakos techniques for regime changes in series

### climate change

- `The unchained goddess'
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- ATTP summarizes all that stuff about Committed Warming
- Interview with Wally Broecker
- James Powell on sampling the climate consensus
- Sea Change Boston
- Climate impacts on retail and supply chains
- The beach boondoggle
- Paul Beckwith

### Archives

### Jan Galkowski

# Category Archives: GLMs

## A quick note on modeling operational risk from count data

The blog statcompute recently featured a proposal encouraging the use of ordinal models for difficult risk regressions involving count data. This is actually a second installment of a two-part post on this problem, the first dealing with flexibility in count … Continue reading

Posted in American Statistical Association, Bayesian, Bayesian computational methods, count data regression, dichotomising continuous variables, dynamic generalized linear models, Frank Harrell, Frequentist, Generalize Additive Models, generalized linear mixed models, generalized linear models, GLMMs, GLMs, John Kruschke, maximum likelihood, model comparison, Monte Carlo Statistical Methods, multivariate statistics, nonlinear, numerical software, numerics, premature categorization, probit regression, statistical regression, statistics
Tagged dichotomising continuous variables, dichotomizing continuous variables, premature categorization, splines
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## Phytoplankton-delineated oceanic eddies near Antarctica

Excerpt, from NASA: Phytoplankton are the grass of the sea. They are floating, drifting, plant-like organisms that harness the energy of the Sun, mix it with carbon dioxide that they take from the atmosphere, and turn it into carbohydrates and … Continue reading

Posted in AMETSOC, Antarctica, Arctic, bacteria, Carbon Cycle, complex systems, differential equations, diffusion, diffusion processes, dynamic linear models, dynamical systems, Emily Shuckburgh, environment, fluid dynamics, geophysics, GLMs, John Marshall, marine biology, Mathematics and Climate Research Network, NASA, numerical analysis, numerical software, oceanic eddies, oceanography, physics, phytoplankton, science, thermohaline circulation, WHOI, Woods Hole Oceanographic Institution
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