The Rule of 135

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← Massachusetts Senate, Climate and Clean Energy Tour (Senator Marc Pacheco, and others), testimony

Dikran Marsupial’s excellent bit on hypothesis testing applied to climate, or how it should be applied, if at all →

The Rule of 135

Posted on 29 May 2017 by ecoquant

From SingingBanana.

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About ecoquant

See http://www.linkedin.com/in/deepdevelopment/ and https://667-per-cm.net/about

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This entry was posted in Conway's Game of Life, dynamical systems, finite-state machines, mathematical publishing, mathematics, mathematics education, maths, Patterson's Worm, random walks, state-space models, statistical dependence, statistics. Bookmark the permalink.

← Massachusetts Senate, Climate and Clean Energy Tour (Senator Marc Pacheco, and others), testimony

Dikran Marsupial’s excellent bit on hypothesis testing applied to climate, or how it should be applied, if at all →

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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
author