Distributed Solar: The Democratizaton of Energy
Blogroll
- NCAR AtmosNews
- Slice Sampling
- Simon Wood's must-read paper on dynamic modeling of complex systems
- John Cook's reasons to use Bayesian inference
- Tim Harford's “More or Less''
- BioPython
- Fear and Loathing in Data Science
- London Review of Books
- Prediction vs Forecasting: Knaub
- AP Statistics: Sampling, by Michael Porinchak
climate change
- Skeptical Science
- Jacobson WWS literature index
- US$165/tonne CO2: Sweden
- "A field guide to the climate clowns"
- "Mighty Microgrids" Webinar
- “Ways to [try to] slow the Solar Century''
- The Carbon Cycle
- HotWhopper: It's excellent.
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- Ray Pierrehumbert's site related to "Principles of Planetary Climate"
Archives
Jan Galkowski
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
ecoquant
