Distributed Solar: The Democratizaton of Energy
Blogroll
- Karl Broman
- BioPython
- Peter Congdon's Bayesian statistical modeling
- "The Expert"
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Hermann Scheer
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION
- Comprehensive Guide to Bayes Rule
- Woods Hole Oceanographic Institution (WHOI)
- Why It’s So Freaking Hard To Make A Good COVID-19 Model
climate change
- RealClimate
- James Powell on sampling the climate consensus
- Interview with Wally Broecker
- The great Michael Osborne's latest opinions
- AIP's history of global warming science: impacts
- "Warming Slowdown?" (part 2 of 2)
- All Models Are Wrong
- World Weather Attribution
- Climate Change Reports
- Simple box models and climate forcing
Archives
Tag Archives: statistics
Climate Scientist Michael Mann
Professor Michael Mann is a personal hero of mine, principally because he connected, for me, the world of time series and principal components with climate science, showing there might be some small thing I can contribute to the discussion, and … Continue reading
postdoc position in Bayesian Climate Uncertainty Modeling
Climate Uncertainty Quantification Postdoc Where You Will Work Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety … Continue reading
Posted in Bayesian, climate, environment, geophysics, mathematics, maths, meteorology, physics, statistics, stochastic algorithms
Tagged climate uncertainty, postdoc, statistics
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“Is Roger Rabbit running AccuWeather?”
Posted in climate, climate education, education, environment, geophysics, meteorology, physics, rationality, reasonableness, science
Tagged climate, communication, education, geophysics, science, statistics, weather
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My favorite definitions from Professor Andrew Gelman
Professor Gelman has a nice list of statistical definitions, educational like nearly everything he does or writes: The Folk Theorem: When you have computational problems, often there’s a problem with your model. Second-Order Availability Bias: Generalizing from correlations you see … Continue reading
Posted in education, maths, notes, rationality, statistics
Tagged fallacies, statistics
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On Dangers of Indiscriminate Clustering
K-means and other algorithms for clustering are widely used for determining associations based upon standardized series of attributes. While there are a number of clustering algorithms, including some robust ones, some not-so-robust, some non-parametric, and some model-based, all share two … Continue reading
