Distributed Solar: The Democratizaton of Energy
Blogroll
- Simon Wood's must-read paper on dynamic modeling of complex systems
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess
- GeoEnergy Math
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Survey Methodology, Prof Ron Fricker
- Prediction vs Forecasting: Knaub
- "Talking Politics" podcast
- "Perpetual Ocean" from NASA GSFC
- International Society for Bayesian Analysis (ISBA)
- Brendon Brewer on Overfitting
climate change
- Sea Change Boston
- Mrooijer's Global Temperature Explorer
- The Keeling Curve
- Professor Robert Strom's compendium of resources on climate change
- `The unchained goddess'
- Simple box models and climate forcing
- Documenting the Climate Deniarati at work
- Jacobson WWS literature index
- Climate model projections versus observations
- MIT's Climate Primer
Archives
Jan Galkowski
Category Archives: counterfactuals
“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
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“Code for causal inference: Interested in astronomical applications”
via Code for causal inference: Interested in astronomical applications From Professor Ewan Cameron at his Another Astrostatistics Blog.
Posted in American Association for the Advancement of Science, American Statistical Association, astronomy, astrostatistics, causal inference, causation, counterfactuals, epidemiology, experimental design, experimental science, multivariate statistics, prediction, propensity scoring, quantitative biology, quantitative ecology, reproducible research, rhetorical mathematics, rhetorical science, rhetorical statistics, science, statistical ecology, statistical models, statistical regression, statistics
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