Distributed Solar: The Democratizaton of Energy
Blogroll
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- London Review of Books
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- SASB Sustainability Accounting Standards Board
- 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/
- Number Cruncher Politics
- Beautiful Weeds of New York City
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Label Noise
- What If
- 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/
- Leadership lessons from Lao Tzu
- 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
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- International Society for Bayesian Analysis (ISBA)
- Harvard's Project Implicit
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- 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.
- Professor David Draper
- 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.
- Gabriel's staircase
- 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.
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- BioPython A collection of Python tools for quantitative Biology
- Earle Wilson
- Slice Sampling
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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.
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- John Cook's reasons to use Bayesian inference
- 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
- Healthy Home Healthy Planet
- Los Alamos Center for Bayesian Methods
- 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
- "Perpetual Ocean" from NASA GSFC
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- All about models
- Leverhulme Centre for Climate Change Mitigation
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Carl Safina's blog One of the wisest on Earth
- distributed solar and matching location to need
- Dr James Spall's SPSA
- "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.
- 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/.
- 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
- Subsidies for wind and solar versus subsidies for fossil fuels
climate change
- "A field guide to the climate clowns"
- David Appell's early climate science
- Earth System Models
- The Scientific Case for Modern Human-caused Global Warming
- Sea Change Boston
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- The Sunlight Economy
- Climate at a glance Current state of the climate, from NOAA
- RealClimate
- Interview with Wally Broecker Interview with Wally Broecker
- "Getting to the Energy Future We Want," Dr Steven Chu
- Climate impacts on retail and supply chains
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- 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.
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- "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.
- Agendaists Eli Rabett’s coining of a phrase
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- 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
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Ice and Snow
- Jacobson WWS literature index
- Documenting the Climate Deniarati at work
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- 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.
- Reanalyses.org
- Mrooijer's Global Temperature Explorer
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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.)
- "Climate science is setttled enough"
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Berkeley Earth Surface Temperature
- Spectra Energy exposed
- 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 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.
- Exxon-Mobil statement on UNFCCC COP21
- Climate Change Reports By John and Mel Harte
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- 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
- 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.
- "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
- Wally Broecker on climate realism
- 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
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- James Powell on sampling the climate consensus
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- An open letter to Steve Levitt
Archives
Jan Galkowski
Category Archives: dependent data
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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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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Procrustes tangent distance is better than SNCD
I’ve written two posts here on using a Symmetrized Normalized Compression Divergence or SNCD for comparing time series. One introduced the SNCD and described its relationship to compression distance, and the other applied the SNCD to clustering days at a … Continue reading
Posted in data science, dependent data, descriptive statistics, divergence measures, hydrology, Ian Dryden, information theoretic statistics, J.T.Kent, Kanti Mardia, non-parametric statistics, normalized compression divergence, quantitative ecology, R statistical programming language, spatial statistics, statistical series, time series
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Stream flow and P-splines: Using built-in estimates for smoothing
Mother Brook in Dedham Massachusetts was the first man-made canal in the United States. Dug in 1639, it connects the Charles River at Dedham, to the Neponset River in the Hyde Park section of Boston. It was originally an important … Continue reading
Posted in American Statistical Association, citizen data, citizen science, Clausius-Clapeyron equation, Commonwealth of Massachusetts, cross-validation, data science, dependent data, descriptive statistics, dynamic linear models, empirical likelihood, environment, flooding, floods, Grant Foster, hydrology, likelihood-free, meteorological models, model-free forecasting, non-mechanistic modeling, non-parametric, non-parametric model, non-parametric statistics, numerical algorithms, precipitation, quantitative ecology, statistical dependence, statistical series, stream flow, Tamino, the bootstrap, time series, water vapor
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Less evidence for a global warming hiatus, and urging more use of Bayesian model averaging in climate science
(This post has been significantly updated midday 15th February 2018.) I’ve written about the supposed global warming hiatus of 2001-2014 before: “‘Overestimated global warming over the past 20 years’ (Fyfe, Gillett, Zwiers, 2013)”, 28 August 2013 “Warming Slowdown?”, Azimuth, Part … Continue reading
Posted in American Statistical Association, Andrew Parnell, anomaly detection, Anthropocene, Bayesian, Bayesian model averaging, Berkeley Earth Surface Temperature project, BEST, climate change, David Spiegelhalter, dependent data, Dublin, GISTEMP, global warming, Grant Foster, HadCRUT4, hiatus, Hyper Anthropocene, JAGS, Markov Chain Monte Carlo, Martyn Plummer, Mathematics and Climate Research Network, MCMC, model-free forecasting, Niamh Cahill, Significance, statistics, Stefan Rahmstorf, Tamino
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What are the odds of net zero?
What’s the Question? A question was posed by a colleague a couple of months ago: What are the odds of a stock closing at the same price it opened? I found the question interesting, because, at first, it appeared to … Continue reading
`Letter to Lamar Smith’
On Ed Hawkins’ blog. The Committee on Science, Space & Technology of the US House of Representatives conducts regular evidence hearings on various science topics. On Wednesday 29th March, there is a hearing on “Climate science: assumptions, policy implications, and … Continue reading
Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, anemic data, anomaly detection, Anthropocene, Ben Santer, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, changepoint detection, climate, climate change, climate data, climate disruption, Climate Lab Book, climate zombies, dependent data, environment, fossil fuel divestment, geophysics, global warming, greenhouse gases, Humans have a lot to answer for, Hyper Anthropocene, leaving fossil fuels in the ground, meteorology, MIchael Mann, Our Children's Trust, physics, science, smoothing, statistical dependence, the right to be and act stupid, the right to know, the tragedy of our present civilization, the value of financial assets, time series
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 