Distributed Solar: The Democratizaton of Energy
Blogroll
- 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.”
- Dr James Spall's SPSA
- 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.
- Subsidies for wind and solar versus subsidies for fossil fuels
- SASB Sustainability Accounting Standards Board
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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/
- Awkward Botany
- Leverhulme Centre for Climate Change Mitigation
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Beautiful Weeds of New York City
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Woods Hole Oceanographic Institution (WHOI)
- 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.
- International Society for Bayesian Analysis (ISBA)
- American Statistical Association
- Label Noise
- Comprehensive Guide to Bayes Rule
- Gabriel's staircase
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Earle Wilson
- 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/.
- Gavin Simpson
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- All about Sankey diagrams
- 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
- Los Alamos Center for Bayesian Methods
- 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/
- "The Expert"
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Mrooijer's Numbers R 4Us
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Risk and Well-Being
- All about models
- 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.
- Professor David Draper
- NCAR AtmosNews
- BioPython A collection of Python tools for quantitative Biology
- 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”
- Ted Dunning
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Harvard's Project Implicit
- Leadership lessons from Lao Tzu
- American Association for the Advancement of Science (AAAS)
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
climate change
- "Getting to the Energy Future We Want," Dr Steven Chu
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- “Ways to [try to] slow the Solar Century''
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- 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.
- 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
- Grid parity map for Solar PV in United States
- 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.
- "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.
- An open letter to Steve Levitt
- Risk and Well-Being
- Climate Change Denying Organizations
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- "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 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.
- Bloomberg interactive graph on “What's warming the world''
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Mrooijer's Global Temperature Explorer
- 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.
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Dessler's 6 minute Greenhouse Effect video
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Nick Bower's "Scared Scientists"
- Exxon-Mobil statement on UNFCCC COP21
- Interview with Wally Broecker Interview with Wally Broecker
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- weather blocking patterns
- 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.
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Earth System Models
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- History of discovering Global Warming From the American Institute of Physics.
- Skeptical Science
- Climate Change Reports By John and Mel Harte
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Social Cost of Carbon
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- 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
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Documenting the Climate Deniarati at work
- On Thomas Edison and Solar Electric Power
- Jacobson WWS literature index
- Climate model projections versus observations
- Reanalyses.org
- Jacobson WWS literature index
- 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 at a glance Current state of the climate, from NOAA
- The Sunlight Economy
- Professor Robert Strom's compendium of resources on climate change Truly excellent
Archives
Jan Galkowski
Category Archives: filtering
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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ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 