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Tag Archives: Berlin

Für alle ohne maske

Posted on 15 October 2020 by ecoquant

h/t Professor Christian Robert.

Posted in COVID-19, pandemic, SARS-CoV-2 | Tagged Berlin, COVID-19, face-mask, Germany, mask-enforcement, pandemic, pandemic-policy, SARS-CoV-2, street-advertising | Leave a comment
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    • WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
    • 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/
    • Earth Family Beta MIchael Osborne’s blog on Science and the like
    • Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
    • BioPython A collection of Python tools for quantitative Biology
    • Risk and Well-Being
    • Leadership lessons from Lao Tzu
    • Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
    • Giant vertical monopolies for energy have stopped making sense
    • Los Alamos Center for Bayesian Methods
    • Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
    • Dr James Spall's SPSA
    • "Perpetual Ocean" from NASA GSFC
    • "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.
    • Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
    • Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
    • Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
    • ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
    • South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
    • All about Sankey diagrams
    • WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
    • Mrooijer's Numbers R 4Us
    • Label Noise
    • Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
    • Rasmus Bååth's Research Blog Bayesian statistics and data analysis
    • The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
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    • Karl Broman
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    • Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
    • Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
    • All about ENSO, and lunar tides (Paul Pukite) Historically, ENSO has been explained in terms of winds. But recently — and Dr Paul Pukite has insisted upon this for a long time — the oscillation of ENSO has been explained as a large-scale slosh due to lunar tidal forcing.
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    • AP Statistics: Sampling, by Michael Porinchak Twin City Schools
    • Gavin Simpson
    • Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
    • Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
    • The Plastic Pick-Up: Discovering new sources of marine plastic pollution
    • 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
    • Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
    • Woods Hole Oceanographic Institution (WHOI)
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  • climate change

    • Grid parity map for Solar PV in United States
    • Climate impacts on retail and supply chains
    • "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
    • "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
    • An open letter to Steve Levitt
    • SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
    • Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
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    • Agendaists Eli Rabett’s coining of a phrase
    • Climate Change Reports By John and Mel Harte
    • Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
    • Wind sled Wind sled: A zero carbon way of exploring ice sheets
    • Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
    • Berkeley Earth Surface Temperature
    • Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
    • The Sunlight Economy
    • “The discovery of global warming'' (American Institute of Physics)
    • "Warming Slowdown?" (part 1 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. In two parts.
    • Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
    • "A field guide to the climate clowns"
    • “Ways to [try to] slow the Solar Century''
    • NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
    • Eli on the spectroscopic basis of atmospheric radiation physical chemistry
    • The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
    • Mrooijer's Global Temperature Explorer
    • David Appell's early climate science
    • Jacobson WWS literature index
    • Risk and Well-Being
    • Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
    • Solar Gardens Community Power
    • Nick Bower's "Scared Scientists"
    • weather blocking patterns
    • "Climate science is setttled enough"
    • `Who to believe on climate change': Simple checks By Bart Verheggen
    • The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
    • "Getting to the Energy Future We Want," Dr Steven Chu
    • Spectra Energy exposed
    • Mathematics and Climate Research Network The Mathematics and Climate Research Network (MCRN) engages mathematicians to collaborating on the cryosphere, conceptual model validation, data assimilation, the electric grid, food systems, nonsmooth systems, paleoclimate, resilience, tipping points.
    • “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
    • Rabett Run Incisive analysis of climate science versus deliberate distraction
    • Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
    • "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
    • SolarLove
    • The great Michael Osborne's latest opinions Michael Osborne is a genius operative and champion of solar energy. I have learned never to disregard ANYTHING he says. He is mentor of Karl Ragabo, and the genius instigator of the Texas renewable energy miracle.
    • All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
    • "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.
    • The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
    • Jacobson WWS literature index
    • On Thomas Edison and Solar Electric Power
    • The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
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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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