
Distributed Solar: The Democratizaton of Energy

Blogroll
- Gavin Simpson
- Woods Hole Oceanographic Institution (WHOI)
- 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
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- "Perpetual Ocean" from NASA GSFC
- American Association for the Advancement of Science (AAAS)
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- All about models
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Leadership lessons from Lao Tzu
- James' Empty Blog
- Number Cruncher Politics
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Comprehensive Guide to Bayes Rule
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Beautiful Weeds of New York City
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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.
- 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”
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- American Statistical Association
- London Review of Books
- Professor David Draper
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- What If
- International Society for Bayesian Analysis (ISBA)
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Slice Sampling
- Harvard's Project Implicit
- Los Alamos Center for Bayesian Methods
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Dollars per BBL: Energy in Transition
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Awkward Botany
- Karl Broman
- 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 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.
- 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.”
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
climate change
- 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.
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Risk and Well-Being
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- 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.
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- "Getting to the Energy Future We Want," Dr Steven Chu
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Mrooijer's Global Temperature Explorer
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- “The discovery of global warming'' (American Institute of Physics)
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Grid parity map for Solar PV in United States
- History of discovering Global Warming From the American Institute of Physics.
- "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.)
- "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.
- On Thomas Edison and Solar Electric Power
- James Powell on sampling the climate consensus
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Jacobson WWS literature index
- Ice and Snow
- Simple models of climate change
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- The Scientific Case for Modern Human-caused Global Warming
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- And Then There's Physics
- Climate model projections versus observations
- 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.
- David Appell's early climate science
- RealClimate
- Thriving on Low Carbon
- Nick Bower's "Scared Scientists"
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- 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
- "A field guide to the climate clowns"
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- An open letter to Steve Levitt
- Climate at a glance Current state of the climate, from NOAA
- “Ways to [try to] slow the Solar Century''
- Reanalyses.org
- Bloomberg interactive graph on “What's warming the world''
- 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.
- Documenting the Climate Deniarati at work
- Climate Change Denying Organizations
Archives
Jan Galkowski
Category Archives: count data regression
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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COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
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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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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