Distributed Solar: The Democratizaton of Energy
Blogroll
- John Cook's reasons to use Bayesian inference
- What If
- Los Alamos Center for Bayesian Methods
- Gavin Simpson
- 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.
- Healthy Home Healthy Planet
- All about Sankey diagrams
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Leverhulme Centre for Climate Change Mitigation
- London Review of Books
- 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
- 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.
- American Association for the Advancement of Science (AAAS)
- 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
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- 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/
- 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.”
- "The Expert"
- 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.
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- Mrooijer's Numbers R 4Us
- Earle Wilson
- 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.
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- "Talking Politics" podcast David Runciman, Helen Thompson
- BioPython A collection of Python tools for quantitative Biology
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Beautiful Weeds of New York City
- 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
- SASB Sustainability Accounting Standards Board
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Karl Broman
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- distributed solar and matching location to need
- Leadership lessons from Lao Tzu
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Dr James Spall's SPSA
- "Perpetual Ocean" from NASA GSFC
- Label Noise
- 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.
- American Statistical Association
- 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
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Mertonian norms
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Giant vertical monopolies for energy have stopped making sense
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
climate change
- Risk and Well-Being
- Warming slowdown discussion
- "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.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- 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
- "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.
- “Ways to [try to] slow the Solar Century''
- Nick Bower's "Scared Scientists"
- Simple models of climate change
- 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
- "Getting to the Energy Future We Want," Dr Steven Chu
- 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.
- Solar Gardens Community Power
- Wally Broecker on climate realism
- "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.
- MIT's Climate Primer
- Spectra Energy exposed
- Dessler's 6 minute Greenhouse Effect video
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- An open letter to Steve Levitt
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Model state level energy policy for New Englad Bob Massie’s proposed energy policy for Massachusetts, an admirable model for energy policy anywhere in New England
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Thriving on Low Carbon
- Exxon-Mobil statement on UNFCCC COP21
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- History of discovering Global Warming From the American Institute of Physics.
- 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.
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Earth System Models
- Climate model projections versus observations
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Mrooijer's Global Temperature Explorer
- James Powell on sampling the climate consensus
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- "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.)
- World Weather Attribution
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Interview with Wally Broecker Interview with Wally Broecker
- On Thomas Edison and Solar Electric Power
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- 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.
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate 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.
- And Then There's Physics
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
Archives
Jan Galkowski
Category Archives: splines
Calculating Derivatives from Random Forests
(Comment on prediction intervals for random forests, and links to a paper.) (Edits to repair smudges, 2020-06-28, about 0945 EDT. Closing comment, 2020-06-30, 1450 EDT.) There are lots of ways of learning about mathematical constructs, even about actual machines. One … Continue reading
Posted in bridge to somewhere, Calculus, dependent data, dynamic generalized linear models, dynamical systems, ensemble methods, ensemble models, filtering, forecasting, hierarchical clustering, linear regression, model-free forecasting, Monte Carlo Statistical Methods, non-mechanistic modeling, non-parametric model, non-parametric statistics, numerical algorithms, prediction, R statistical programming language, random forests, regression, sampling, splines, statistical learning, statistical series, statistics, time derivatives, time series
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Phase plane plots of COVID-19 deaths
There are many ways of presenting analytical summaries of new series data for which the underlying mechanisms are incompletely understood. With respect to series describing the COVID-19 pandemic, Tamino has used piecewise linear models. I have mentioned how I prefered … Continue reading
“Lockdown WORKS”
Originally posted on Open Mind:
Over 2400 Americans died yesterday from Coronavirus. Here are the new deaths per day (“daily mortality”) in the USA since March 10, 2020 (note: this is an exponential plot) As bad as that news is,…
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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“All models are wrong. Some models are useful.” — George Box
(Image courtesy of the Damien Garcia.) As a statistician and quant, I’ve thought hard about that oft-cited Boxism. I’m not sure I agree. It’s not that there is such a thing as a perfect model, or correct model, whatever in … Continue reading
Posted in abstraction, American Association for the Advancement of Science, astronomy, astrophysics, mathematics, model-free forecasting, numerics, perceptions, physical materialism, physics, rationality, reason, reasonableness, science, spatial statistics, splines, statistics, the right to know, theoretical physics, time series
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Gavin Simpson updates his temperature analysis
See the very interesting discussion at his blog, From the bottom of the heap. It would be nice to see some information theoretic measures on these results, though.
Posted in AMETSOC, Anthropocene, astrophysics, Berkeley Earth Surface Temperature project, carbon dioxide, changepoint detection, climate, climate change, climate data, climate disruption, climate models, ecology, environment, evidence, Gavin Simpson, Generalize Additive Models, geophysics, global warming, HadCRUT4, hiatus, Hyper Anthropocene, information theoretic statistics, Kalman filter, maths, meteorology, numerical analysis, R, rationality, reasonableness, splines, time series
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 