Distributed Solar: The Democratizaton of Energy
Blogroll
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- 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/.
- 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.
- Gavin Simpson
- 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.
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- London Review of Books
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Carl Safina's blog One of the wisest on Earth
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- 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.
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Karl Broman
- Mrooijer's Numbers R 4Us
- 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.”
- 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
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Label Noise
- International Society for Bayesian Analysis (ISBA)
- "The Expert"
- Harvard's Project Implicit
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Slice Sampling
- Earle Wilson
- 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
- Ives and Dakos techniques for regime changes in series
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- American Statistical Association
- NCAR AtmosNews
- Leadership lessons from Lao Tzu
- "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.
- 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.
- John Cook's reasons to use Bayesian inference
- All about models
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical 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/
- Beautiful Weeds of New York City
- Subsidies for wind and solar versus subsidies for fossil fuels
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Dollars per BBL: Energy in Transition
- distributed solar and matching location to need
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
climate change
- An open letter to Steve Levitt
- Social Cost of Carbon
- “Ways to [try to] slow the Solar Century''
- Nick Bower's "Scared Scientists"
- Climate Change Reports By John and Mel Harte
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Bloomberg interactive graph on “What's warming the world''
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- 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 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.
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Andy Zucker's "Climate Change and Psychology"
- 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.
- World Weather Attribution
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Sea Change Boston
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- RealClimate
- "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
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- "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 model projections versus observations
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Ice and Snow
- Climate impacts on retail and supply chains
- Earth System Models
- 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.
- Spectra Energy exposed
- SolarLove
- Wally Broecker on climate realism
- "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.
- "Getting to the Energy Future We Want," Dr Steven Chu
- 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 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
- MIT's Climate Primer
- Reanalyses.org
- Solar Gardens Community Power
- David Appell's early climate science
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- ATTP summarizes all that stuff about Committed Warming from 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.
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Risk and Well-Being
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Climate at a glance Current state of the climate, from NOAA
- Mrooijer's Global Temperature Explorer
- 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
Archives
Jan Galkowski
Category Archives: numerical linear algebra
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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The Johnson-Lindenstrauss Lemma, and the paradoxical power of random linear operators. Part 1.
Updated, 2018-12-04 I’ll be discussing the ramifications of: William B. Johnson and Joram Lindenstrauss, “Extensions of Lipschitz mappings into a Hilbert space, Contemporary Mathematics, 26:189–206, 1984. for several posts here. Some introduction and links to proofs and explications will be … Continue reading
Posted in clustering, data science, dimension reduction, information theoretic statistics, Johnson-Lindenstrauss Lemma, k-NN, Locality Sensitive Hashing, mathematics, maths, multivariate statistics, non-parametric model, numerical algorithms, numerical linear algebra, point pattern analysis, random projections, recommender systems, science, stochastic algorithms, stochastics, subspace projection methods
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When linear systems can’t be solved by linear means
Linear systems of equations and their solution form the cornerstone of much Engineering and Science. Linear algebra is a paragon of Mathematics in the sense that its theory is what mathematicians try to emulate when they develop theory for many … Continue reading
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