Climate Science: What You Need To Know

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Climate Science: What You Need To Know

Posted on 11 December 2014 by ecoquant

From Phil Plait’s Bad Astronomy blog.

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← Liddell and Kruschke, on conditional logistic Bayesian estimation

Bloomberg on why gasoline consumption isn’t soaring with drop in oil prices →

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Kalman filtering and smoothing; dynamic linear models

Also, see datasets and R examples to accompany this excellent text.

I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
Professor Donald Knuth, 1974
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