Distributed Solar: The Democratizaton of Energy
Blogroll
- Simon Wood's must-read paper on dynamic modeling of complex systems
- ggplot2 and ggfortify
- Brian McGill's Dynamic Ecology blog
- "Talking Politics" podcast
- In Monte Carlo We Trust
- London Review of Books
- All about ENSO, and lunar tides (Paul Pukite)
- Busting Myths About Heat Pumps
- AP Statistics: Sampling, by Michael Porinchak
- Hermann Scheer
climate change
- "When Did Global Warming Stop"
- Social Cost of Carbon
- SOLAR PRODUCTION at Westwood Statistical Studios
- Tell Utilities Solar Won't Be Killed
- RealClimate
- "Warming Slowdown?" (part 1 of 2)
- Solar Gardens Community Power
- James Powell on sampling the climate consensus
- `Who to believe on climate change': Simple checks
- "Mighty Microgrids" Webinar
Archives
Jan Galkowski
Tag Archives: splines
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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