Sea Level Rise, after Church and White (2006)


Modeling done with a Bayesian Rauch-Tung-Striebel algorithm, estimating priors of variance for observations and state by using a stationary bootstrap for the series using Politis and Romano algorithm.

About hypergeometric

See http://www.linkedin.com/in/deepdevelopment/ and http://667-per-cm.net
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3 Responses to Sea Level Rise, after Church and White (2006)

  1. Pingback: illustrating particle filters and Bayesian fusion using successive location estimates on the unit circle | Hypergeometric

  2. Pingback: Warming is proportional to CUMULATIVE CARBON EMISSIONS, not emission intensity | Hypergeometric

  3. Pingback: HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model | Hypergeometric

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