Distributed Solar: The Democratizaton of Energy
Blogroll
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- 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/
- Ives and Dakos techniques for regime changes in series
- 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/.
- Leadership lessons from Lao Tzu
- Risk and Well-Being
- 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
- 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
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Dr James Spall's SPSA
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Awkward Botany
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- What If
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Los Alamos Center for Bayesian Methods
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Woods Hole Oceanographic Institution (WHOI)
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- 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.
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- American Association for the Advancement of Science (AAAS)
- "Perpetual Ocean" from NASA GSFC
- Earle Wilson
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- All about Sankey diagrams
- 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.
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Carl Safina's blog One of the wisest on Earth
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Gabriel's staircase
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- International Society for Bayesian Analysis (ISBA)
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- 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
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- distributed solar and matching location to need
- Harvard's Project Implicit
- 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/
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Giant vertical monopolies for energy have stopped making sense
- Karl Broman
- Mrooijer's Numbers R 4Us
- John Cook's reasons to use Bayesian inference
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Leverhulme Centre for Climate Change Mitigation
- All about models
climate change
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- 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.
- 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.
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- "A field guide to the climate clowns"
- "Warming Slowdown?" (part 1 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. In two parts.
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- SolarLove
- The Scientific Case for Modern Human-caused Global Warming
- "Getting to the Energy Future We Want," Dr Steven Chu
- Exxon-Mobil statement on UNFCCC COP21
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Thriving on Low Carbon
- "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- "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.
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Ice and Snow
- Documenting the Climate Deniarati at work
- The Sunlight Economy
- Warming slowdown discussion
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- 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%.
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- weather blocking patterns
- Jacobson WWS literature index
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Reanalyses.org
- Wally Broecker on climate realism
- James Powell on sampling the climate consensus
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- "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.
- 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
- Spectra Energy exposed
- Mrooijer's Global Temperature Explorer
- 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.
- Simple models of climate change
- And Then There's Physics
- 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.
- Nick Bower's "Scared Scientists"
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- On Thomas Edison and Solar Electric Power
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Sea Change Boston
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- 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.
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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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 