Distributed Solar: The Democratizaton of Energy
Blogroll
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Beautiful Weeds of New York City
- Mrooijer's Numbers R 4Us
- Leverhulme Centre for Climate Change Mitigation
- 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/
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- The Alliance for Securing Democracy dashboard
- Professor David Draper
- Awkward Botany
- Karl Broman
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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
- 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.”
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Earle Wilson
- Healthy Home Healthy Planet
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- "Talking Politics" podcast David Runciman, Helen Thompson
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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/
- 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
- 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.
- 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/.
- SASB Sustainability Accounting Standards Board
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- "Perpetual Ocean" from NASA GSFC
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- 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
- Subsidies for wind and solar versus subsidies for fossil fuels
- Comprehensive Guide to Bayes Rule
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Dollars per BBL: Energy in Transition
- John Cook's reasons to use Bayesian inference
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- 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
- Harvard's Project Implicit
- Ted Dunning
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Gavin Simpson
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- 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.
- Mertonian norms
- 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”
- 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.
climate change
- Spectra Energy exposed
- The Sunlight Economy
- Wally Broecker on climate realism
- Climate Change Reports By John and Mel Harte
- RealClimate
- Interview with Wally Broecker Interview with Wally Broecker
- Dessler's 6 minute Greenhouse Effect video
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "Climate science is setttled enough"
- Agendaists Eli Rabett’s coining of a phrase
- 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
- SolarLove
- James Powell on sampling the climate consensus
- 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.
- "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
- Grid parity map for Solar PV in United States
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Documenting the Climate Deniarati at work
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Andy Zucker's "Climate Change and Psychology"
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- World Weather Attribution
- Paul Beckwith Professor Beckwith is, in my book, one of the most insightful and analytical observers on climate I know. I highly recommend his blog, and his other informational products.
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Reanalyses.org
- Earth System Models
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- 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.
- Exxon-Mobil statement on UNFCCC COP21
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- `Who to believe on climate change': Simple checks By Bart Verheggen
- 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
- Mrooijer's Global Temperature Explorer
- MIT's Climate Primer
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- 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.
- Skeptical Science
- 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.
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- "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.)
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- 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
- Climate Change Denying Organizations
- Jacobson WWS literature index
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- History of discovering Global Warming From the American Institute of Physics.
Archives
Jan Galkowski
Category Archives: Akaike Information Criterion
Series, symmetrized Normalized Compressed Divergences and their logit transforms
(Major update on 11th January 2019. Minor update on 16th January 2019.) On comparing things The idea of a calculating a distance between series for various purposes has received scholarly attention for quite some time. The most common application is … Continue reading
Posted in Akaike Information Criterion, bridge to somewhere, computation, content-free inference, data science, descriptive statistics, divergence measures, engineering, George Sughihara, information theoretic statistics, likelihood-free, machine learning, mathematics, model comparison, model-free forecasting, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerical algorithms, statistics, theoretical physics, thermodynamics, time series
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`Environmental science in a post-truth world’ (Lubchenco and Kammen)
Jane Lubchenco is a Professor at Oregon State University, and was administrator of the U.S. NOAA from 2009 through 2013, the U.S. Science Envoy for the Ocean at the State Department from 2014 to 2016, and the president of the … Continue reading
Posted in Akaike Information Criterion, American Association for the Advancement of Science, American Statistical Association, being carbon dioxide, Buckminster Fuller, climate, climate change, coastal communities, coasts, ecological services, ecology, environment, environmental law, evidence, global warming, Humans have a lot to answer for, Hyper Anthropocene, ignorance, Jane Lubchenco, marine biology, mass extinctions, population biology, population dynamics, quantitative biology, quantitative ecology, risk, science, Spaceship Earth, sustainability, T'kun Olam, temporal myopia, the tragedy of our present civilization
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Why smooth?
I’ve encountered a number of blog posts this week which seem not to understand the Bias-Variance Tradeoff in regard to Mean-Squared-Error. These arose in connection with smoothing splines, which I was studying in connection with multivariate adaptive regression splines, that … Continue reading
Posted in Akaike Information Criterion, American Statistical Association, Antarctica, carbon dioxide, climate change, denial, global warming, information theoretic statistics, likelihood-free, multivariate adaptive regression splines, non-parametric model, science denier, smoothing, splines, statistical dependence
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On Smart Data
One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading
Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
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Cory Lesmeister’s treatment of Simson’s Paradox (at “Fear and Loathing in Data Science”)
(Updated 2016-05-08, to provide reference for plateaus of ML functions in vicinity of MLE.) Simpson’s Paradox is one of those phenomena of data which really give Statistics a substance and a role, beyond the roles it inherits from, say, theoretical … Continue reading
Posted in Akaike Information Criterion, approximate Bayesian computation, Bayes, Bayesian, evidence, Frequentist, games of chance, information theoretic statistics, Kalman filter, likelihood-free, mathematics, maths, maximum likelihood, Monte Carlo Statistical Methods, probabilistic programming, rationality, Rauch-Tung-Striebel, Simpson's Paradox, state-space models, statistical dependence, statistics, stochastics
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ecoquant
