Distributed Solar: The Democratizaton of Energy
Blogroll
- James' Empty Blog
- 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
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- "Perpetual Ocean" from NASA GSFC
- The Alliance for Securing Democracy dashboard
- Leadership lessons from Lao Tzu
- 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”
- Earle Wilson
- Mrooijer's Numbers R 4Us
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Karl Broman
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Giant vertical monopolies for energy have stopped making sense
- Awkward Botany
- 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.
- 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
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- London Review of Books
- 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
- 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.
- Slice Sampling
- What If
- Carl Safina's blog One of the wisest on Earth
- 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.
- Number Cruncher Politics
- distributed solar and matching location to need
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Gavin Simpson
- "The Expert"
- SASB Sustainability Accounting Standards Board
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- "Talking Politics" podcast David Runciman, Helen Thompson
- 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.
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- 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
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Professor David Draper
- 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/
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- 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
- All about models
- Beautiful Weeds of New York City
- 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.
- Subsidies for wind and solar versus subsidies for fossil fuels
- Harvard's Project Implicit
climate change
- Climate Change Reports By John and Mel Harte
- Climate impacts on retail and supply chains
- weather blocking patterns
- Reanalyses.org
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- 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.
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- David Appell's early climate science
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Documenting the Climate Deniarati at work
- RealClimate
- 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.
- Risk and Well-Being
- Climate at a glance Current state of the climate, from NOAA
- Bloomberg interactive graph on “What's warming the world''
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- The Sunlight Economy
- Spectra Energy exposed
- Jacobson WWS literature index
- 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
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Skeptical Science
- MIT's Climate Primer
- 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
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Climate Change Denying Organizations
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- On Thomas Edison and Solar Electric Power
- SolarLove
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Warming slowdown discussion
- Climate model projections versus observations
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Nick Bower's "Scared Scientists"
- Thriving on Low Carbon
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- An open letter to Steve Levitt
- 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.
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- Interview with Wally Broecker Interview with Wally Broecker
- Earth System Models
- 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%.
- Professor Robert Strom's compendium of resources on climate change Truly excellent
Archives
Jan Galkowski
Category Archives: Bayesian computational methods
“Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions”
J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
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Reanalysis of business visits from deployments of a mobile phone app
Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading
Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo
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cdetools package for R: Dalmasso, et al [updated]
Just hit the “arXiv streets”: N. Dalmasso, T. Pospisil, A. B. Lee, R. Izbicki, P. E. Freeman, A. I. Malz, “Conditional Density Estimation Tools in Python and R with applications to photometric redshifts and likelihood-free cosmological inference”, arXiv.org > astro-ph … Continue reading
“Ten Fatal Flaws in Data Analysis” (Charles Kufs)
Professor Kufs has a fun book, Stats with Cats, and a blog. He also has a blog post tiled “Ten Fatal Flaws in Data Analysis” which, in general, I like. But the presentation has some shortcomings, too, which I note … Continue reading
Sampling: Rejection, Reservoir, and Slice
An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading
Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search
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A quick note on modeling operational risk from count data
The blog statcompute recently featured a proposal encouraging the use of ordinal models for difficult risk regressions involving count data. This is actually a second installment of a two-part post on this problem, the first dealing with flexibility in count … Continue reading
Posted in American Statistical Association, Bayesian, Bayesian computational methods, count data regression, dichotomising continuous variables, dynamic generalized linear models, Frank Harrell, Frequentist, Generalize Additive Models, generalized linear mixed models, generalized linear models, GLMMs, GLMs, John Kruschke, maximum likelihood, model comparison, Monte Carlo Statistical Methods, multivariate statistics, nonlinear, numerical software, numerics, premature categorization, probit regression, statistical regression, statistics
Tagged dichotomising continuous variables, dichotomizing continuous variables, premature categorization, splines
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ecoquant
