Distributed Solar: The Democratizaton of Energy
Blogroll
- Los Alamos Center for Bayesian Methods
- Label Noise
- "Talking Politics" podcast David Runciman, Helen Thompson
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- London Review of Books
- American Statistical Association
- Mertonian norms
- The Alliance for Securing Democracy dashboard
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Dollars per BBL: Energy in Transition
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Professor David Draper
- John Cook's reasons to use Bayesian inference
- 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.
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- James' Empty Blog
- Karl Broman
- 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.
- Leadership lessons from Lao Tzu
- Woods Hole Oceanographic Institution (WHOI)
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- 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/
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- NCAR AtmosNews
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- distributed solar and matching location to need
- What If
- 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.
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Carl Safina's blog One of the wisest on Earth
- Healthy Home Healthy Planet
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Comprehensive Guide to Bayes Rule
- SASB Sustainability Accounting Standards Board
- Beautiful Weeds of New York City
- 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/
- Risk and Well-Being
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- 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
- American Association for the Advancement of Science (AAAS)
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
climate change
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Documenting the Climate Deniarati at work
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- "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
- 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.
- Grid parity map for Solar PV in United States
- “The discovery of global warming'' (American Institute of Physics)
- James Powell on sampling the climate consensus
- Dessler's 6 minute Greenhouse Effect video
- Climate Change Reports By John and Mel Harte
- Climate model projections versus observations
- 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.
- Thriving on Low Carbon
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- "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 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
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Mrooijer's Global Temperature Explorer
- 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%.
- History of discovering Global Warming From the American Institute of Physics.
- Berkeley Earth Surface Temperature
- Social Cost of Carbon
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- 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.
- 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
- Bloomberg interactive graph on “What's warming the world''
- “Ways to [try to] slow the Solar Century''
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Reanalyses.org
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Skeptical Science
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Climate at a glance Current state of the climate, from NOAA
- Earth System Models
- Warming slowdown discussion
- David Appell's early climate science
- Risk and Well-Being
- Wally Broecker on climate realism
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- "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.
- "A field guide to the climate clowns"
- Exxon-Mobil statement on UNFCCC COP21
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Ice and Snow
- 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.
- On Thomas Edison and Solar Electric Power
Archives
Jan Galkowski
Category Archives: generalized linear models
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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Senn’s `… never having to say you are certain’ guest post from Mayo’s blog
via S. Senn: Being a statistician means never having to say you are certain (Guest Post) See also: E. Cai’s blog post “Applied Statistics Lesson of the Day – The Matched Pairs Experimental Design”, from February 2014 A. Deaton, N. … Continue reading
Posted in abstraction, American Association for the Advancement of Science, American Statistical Association, cancer research, data science, ecology, experimental design, generalized linear mixed models, generalized linear models, Mathematics and Climate Research Network, medicine, sampling, statistics, the right to know
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On Smart Data
One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading
Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
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Generating supports for classification rules in black box regression models
Inspired by the extensive and excellent work in approximate Bayesian computation (see also), especially that done by Professors Christian Robert and colleagues (see also), and Professor Simon Wood (see also), it occurred to me that the complaints regarding lack of … Continue reading
Posted in approximate Bayesian computation, Bayes, Bayesian, Bayesian inversion, generalized linear models, machine learning, numerical analysis, numerical software, probabilistic programming, rationality, reasonableness, state-space models, statistics, stochastic algorithms, stochastic search, stochastics, support of black boxes
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Is Earth Much More Sensitive to CO2 Than Thought?
“Take notice that carbon dioxide 50 million years ago may not have been as high as we once thought it was. We may reach that level in the next century, and so the climate change from that increase could be pretty severe, pretty dramatic. CO2 and other climate forcings may be more important for global warming than we realized.” Continue reading
Posted in Anthropocene, Carbon Cycle, carbon dioxide, climate, climate change, climate data, climate disruption, differential equations, diffusion processes, dynamic linear models, dynamical systems, environment, fossil fuels, generalized linear models, geophysics, global warming, Hyper Anthropocene, Principles of Planetary Climate, risk, science
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Southern Oscillation (SOI) correlated with Outgoing Longwave Radiation (OLR)
To the climate community this is nothing at all new, but I spotted these time series today and thought they would make a nice exhibit on how something people have direct control over, greenhouse gas emissions, affect a “teleconnection mechanism” … Continue reading
Posted in AMETSOC, bifurcations, carbon dioxide, climate, climate change, climate disruption, climate models, Dan Satterfield, differential equations, dynamic linear models, dynamical systems, ENSO, environment, forecasting, generalized linear models, geophysics, global warming, greenhouse gases, IPCC, Mathematica, mathematics, maths, meteorology, NCAR, NOAA, numerical software, oceanography, open data, physics, population biology, Principles of Planetary Climate, rationality, reasonableness, science, Spaceship Earth, state-space models, thermodynamics, time series
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