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
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Ted Dunning
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- SASB Sustainability Accounting Standards Board
- American Association for the Advancement of Science (AAAS)
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Beautiful Weeds of New York City
- Earle Wilson
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- 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
- Gabriel's staircase
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- distributed solar and matching location to need
- All about models
- Ives and Dakos techniques for regime changes in series
- 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.”
- Label Noise
- American Statistical Association
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- London Review of Books
- "The Expert"
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- All about Sankey diagrams
- 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
- 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.
- Carl Safina's blog One of the wisest on Earth
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- "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.
- Mertonian norms
- The Alliance for Securing Democracy dashboard
- Woods Hole Oceanographic Institution (WHOI)
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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.
- John Cook's reasons to use Bayesian inference
- 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”
- NCAR AtmosNews
- 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.
- 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.
- "Talking Politics" podcast David Runciman, Helen Thompson
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- 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
- Leadership lessons from Lao Tzu
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- International Society for Bayesian Analysis (ISBA)
- Harvard's Project Implicit
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
climate change
- 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.
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- Climate at a glance Current state of the climate, from NOAA
- Berkeley Earth Surface Temperature
- Mrooijer's Global Temperature Explorer
- Risk and Well-Being
- An open letter to Steve Levitt
- 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
- Thriving on Low Carbon
- Reanalyses.org
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Documenting the Climate Deniarati at work
- And Then There's Physics
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- The Sunlight Economy
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Exxon-Mobil statement on UNFCCC COP21
- MIT's Climate Primer
- Dessler's 6 minute Greenhouse Effect video
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- "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.
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- “Ways to [try to] slow the Solar Century''
- 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.
- Agendaists Eli Rabett’s coining of a phrase
- "Climate science is setttled enough"
- David Appell's early climate science
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- 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
- Interview with Wally Broecker Interview with Wally Broecker
- Bloomberg interactive graph on “What's warming the world''
- Jacobson WWS literature index
- “The discovery of global warming'' (American Institute of Physics)
- RealClimate
- Grid parity map for Solar PV in United States
- Simple models of climate change
- History of discovering Global Warming From the American Institute of Physics.
- Climate impacts on retail and supply chains
- "A field guide to the climate clowns"
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- 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
- Climate model projections versus observations
Archives
Jan Galkowski
Category Archives: 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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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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New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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ecoquant
