Professor Christian Robert remarks on the amazing Gibbs sampler. Implicitly he’s also underscoring the power of properly done Bayesian computational analysis. For here we have a problem with a posterior distribution having two strong modes, so a point estimate, like a mean would be completely wrong, yet that’s what MLE would give you. Gibbs hangs in there, acknowledging both modes.
Distributed Solar: The Democratizaton of Energy
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climate change
- Jacobson WWS literature index
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- Updating the Climate Science: What path is the real world following?
- Skeptical Science
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- ATTP summarizes all that stuff about Committed Warming
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- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
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