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Tag Archives: U.S. Navy

RADM David Titley, USN Oceanographer … the “reformed smoker” talk

Posted on 31 March 2014 by ecoquant
Posted in carbon dioxide, citizenship, climate, climate education, education, energy, engineering, environment, forecasting, geophysics, history, meteorology, oceanography, physics, politics, rationality, science, WHOI | Tagged U.S. Navy | Leave a comment
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    • Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
    • Dominic Cummings blog Chief advisor to the PM, United Kingdom
    • Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
    • Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
    • Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
    • Dollars per BBL: Energy in Transition
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
    • Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
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    • Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
    • OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
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    • Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
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    • WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
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    • "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
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  • Goodreads

  • 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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