Distributed Solar: The Democratizaton of Energy
Blogroll
- Slice Sampling
- The Alliance for Securing Democracy dashboard
- Earle Wilson
- Leverhulme Centre for Climate Change Mitigation
- NCAR AtmosNews
- Healthy Home Healthy Planet
- Beautiful Weeds of New York City
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Dr James Spall's SPSA
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Woods Hole Oceanographic Institution (WHOI)
- American Association for the Advancement of Science (AAAS)
- 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
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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.
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- 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/.
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- BioPython A collection of Python tools for quantitative Biology
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Carl Safina's blog One of the wisest on Earth
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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.”
- 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/
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- 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/
- 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
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- 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.
- Ives and Dakos techniques for regime changes in series
- Gabriel's staircase
- Professor David Draper
- Dollars per BBL: Energy in Transition
- 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
- Risk and Well-Being
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- "Talking Politics" podcast David Runciman, Helen Thompson
- All about Sankey diagrams
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
climate change
- Jacobson WWS literature index
- Simple models of climate change
- "Getting to the Energy Future We Want," Dr Steven Chu
- The Sunlight Economy
- Spectra Energy exposed
- And Then There's Physics
- 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.
- 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.
- 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
- 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
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Exxon-Mobil statement on UNFCCC COP21
- The Scientific Case for Modern Human-caused Global Warming
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- 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
- Interview with Wally Broecker Interview with Wally Broecker
- `Who to believe on climate change': Simple checks By Bart Verheggen
- "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
- Thriving on Low Carbon
- Grid parity map for Solar PV in United States
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- “The discovery of global warming'' (American Institute of Physics)
- Documenting the Climate Deniarati at work
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Climate Change Reports By John and Mel Harte
- Climate at a glance Current state of the climate, from NOAA
- 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
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- An open letter to Steve Levitt
- Jacobson WWS literature index
- RealClimate
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- History of discovering Global Warming From the American Institute of Physics.
- James Powell on sampling the climate consensus
- MIT's Climate Primer
- Bloomberg interactive graph on “What's warming the world''
- weather blocking patterns
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Climate impacts on retail and supply chains
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Nick Bower's "Scared Scientists"
- Climate model projections versus observations
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
Archives
Jan Galkowski
Category Archives: Akaike Information Criterion
Series, symmetrized Normalized Compressed Divergences and their logit transforms
(Major update on 11th January 2019. Minor update on 16th January 2019.) On comparing things The idea of a calculating a distance between series for various purposes has received scholarly attention for quite some time. The most common application is … Continue reading
Posted in Akaike Information Criterion, bridge to somewhere, computation, content-free inference, data science, descriptive statistics, divergence measures, engineering, George Sughihara, information theoretic statistics, likelihood-free, machine learning, mathematics, model comparison, model-free forecasting, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerical algorithms, statistics, theoretical physics, thermodynamics, time series
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`Environmental science in a post-truth world’ (Lubchenco and Kammen)
Jane Lubchenco is a Professor at Oregon State University, and was administrator of the U.S. NOAA from 2009 through 2013, the U.S. Science Envoy for the Ocean at the State Department from 2014 to 2016, and the president of the … Continue reading
Posted in Akaike Information Criterion, American Association for the Advancement of Science, American Statistical Association, being carbon dioxide, Buckminster Fuller, climate, climate change, coastal communities, coasts, ecological services, ecology, environment, environmental law, evidence, global warming, Humans have a lot to answer for, Hyper Anthropocene, ignorance, Jane Lubchenco, marine biology, mass extinctions, population biology, population dynamics, quantitative biology, quantitative ecology, risk, science, Spaceship Earth, sustainability, T'kun Olam, temporal myopia, the tragedy of our present civilization
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Why smooth?
I’ve encountered a number of blog posts this week which seem not to understand the Bias-Variance Tradeoff in regard to Mean-Squared-Error. These arose in connection with smoothing splines, which I was studying in connection with multivariate adaptive regression splines, that … Continue reading
Posted in Akaike Information Criterion, American Statistical Association, Antarctica, carbon dioxide, climate change, denial, global warming, information theoretic statistics, likelihood-free, multivariate adaptive regression splines, non-parametric model, science denier, smoothing, splines, statistical dependence
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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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Cory Lesmeister’s treatment of Simson’s Paradox (at “Fear and Loathing in Data Science”)
(Updated 2016-05-08, to provide reference for plateaus of ML functions in vicinity of MLE.) Simpson’s Paradox is one of those phenomena of data which really give Statistics a substance and a role, beyond the roles it inherits from, say, theoretical … Continue reading
Posted in Akaike Information Criterion, approximate Bayesian computation, Bayes, Bayesian, evidence, Frequentist, games of chance, information theoretic statistics, Kalman filter, likelihood-free, mathematics, maths, maximum likelihood, Monte Carlo Statistical Methods, probabilistic programming, rationality, Rauch-Tung-Striebel, Simpson's Paradox, state-space models, statistical dependence, statistics, stochastics
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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 