Distributed Solar: The Democratizaton of Energy
Blogroll
- Darren Wilkinson's introduction to ABC
- Why It’s So Freaking Hard To Make A Good COVID-19 Model
- SASB
- Tim Harford's “More or Less''
- distributed solar and matching location to need
- Prediction vs Forecasting: Knaub
- WEAPONS OF MATH DESTRUCTION, reviews
- NCAR AtmosNews
- Simon Wood's must-read paper on dynamic modeling of complex systems
- Number Cruncher Politics
climate change
- AIP's history of global warming science: impacts
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- MIT's Climate Primer
- History of discovering Global Warming
- Exxon-Mobil statement on UNFCCC COP21
- Tamino's Open Mind
- The great Michael Osborne's latest opinions
- Tell Utilities Solar Won't Be Killed
- HotWhopper: It's excellent.
- Spectra Energy exposed
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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ecoquant
