Distributed Solar: The Democratizaton of Energy
Blogroll
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- 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
- NCAR AtmosNews
- Carl Safina's blog One of the wisest on Earth
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Ted Dunning
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Mrooijer's Numbers R 4Us
- 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.”
- Subsidies for wind and solar versus subsidies for fossil fuels
- American Statistical Association
- Karl Broman
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- "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.
- Healthy Home Healthy Planet
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Slice Sampling
- 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.
- International Society for Bayesian Analysis (ISBA)
- All about models
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Risk and Well-Being
- Earle Wilson
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Number Cruncher Politics
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Gabriel's staircase
- John Cook's reasons to use Bayesian inference
- 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)
- Awkward Botany
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- London Review of Books
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- 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/
- Giant vertical monopolies for energy have stopped making sense
- 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.
- "Perpetual Ocean" from NASA GSFC
- Los Alamos Center for Bayesian Methods
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Ives and Dakos techniques for regime changes in series
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
climate change
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- "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.
- World Weather Attribution
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Climate at a glance Current state of the climate, from NOAA
- “Ways to [try to] slow the Solar Century''
- Bloomberg interactive graph on “What's warming the world''
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Reanalyses.org
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- 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.
- Exxon-Mobil statement on UNFCCC COP21
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Interview with Wally Broecker Interview with Wally Broecker
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Andy Zucker's "Climate Change and Psychology"
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Social Cost of Carbon
- "A field guide to the climate clowns"
- Warming slowdown discussion
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Wally Broecker on climate realism
- Climate Change Denying Organizations
- 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
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Sunlight Economy
- “The discovery of global warming'' (American Institute of Physics)
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- "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.
- 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.
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Climate impacts on retail and supply chains
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- RealClimate
- Sea Change Boston
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- weather blocking patterns
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
- Spectra Energy exposed
- Solar Gardens Community Power
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
Archives
Jan Galkowski
Tag Archives: prediction intervals
Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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