Distributed Solar: The Democratizaton of Energy
Blogroll
- What If
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- NCAR AtmosNews
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Slice Sampling
- Ives and Dakos techniques for regime changes in series
- 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
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- International Society for Bayesian Analysis (ISBA)
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Dollars per BBL: Energy in Transition
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- 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/
- Mertonian norms
- London Review of Books
- SASB Sustainability Accounting Standards Board
- Carl Safina's blog One of the wisest on Earth
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Risk and Well-Being
- 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.
- The Alliance for Securing Democracy dashboard
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Los Alamos Center for Bayesian Methods
- Woods Hole Oceanographic Institution (WHOI)
- "The Expert"
- 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
- "Perpetual Ocean" from NASA GSFC
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- All about models
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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.
- BioPython A collection of Python tools for quantitative Biology
- 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/
- Label Noise
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Comprehensive Guide to Bayes Rule
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- 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/.
- Leverhulme Centre for Climate Change Mitigation
- 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.
climate change
- Climate Change Denying Organizations
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Wally Broecker on climate realism
- "A field guide to the climate clowns"
- 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.
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- On Thomas Edison and Solar Electric Power
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- Mrooijer's Global Temperature Explorer
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- weather blocking patterns
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- "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.
- Climate model projections versus observations
- 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.
- Warming slowdown discussion
- 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
- Dessler's 6 minute Greenhouse Effect video
- The Scientific Case for Modern Human-caused Global Warming
- 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.
- 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.
- Berkeley Earth Surface Temperature
- "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.
- David Appell's early climate science
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Agendaists Eli Rabett’s coining of a phrase
- History of discovering Global Warming From the American Institute of Physics.
- “The discovery of global warming'' (American Institute of Physics)
- Sea Change Boston
- Ice and Snow
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- An open letter to Steve Levitt
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Nick Bower's "Scared Scientists"
- Climate at a glance Current state of the climate, from NOAA
- Simple models of climate change
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Bloomberg interactive graph on “What's warming the world''
- Spectra Energy exposed
- Grid parity map for Solar PV in United States
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- `Who to believe on climate change': Simple checks By Bart Verheggen
- MIT's Climate Primer
- 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.
Archives
Jan Galkowski
Category Archives: count data 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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COVID-19 statistics, a caveat : Sources of data matter
There are a number of sources of COVID-19-related demographics, cases, deaths, numbers testing positive, numbers recovered, and numbers testing negative available. Many of these are not consistent with one another. One could hope at least rates would be consistent, but … Continue reading
Reanalysis of business visits from deployments of a mobile phone app
Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading
Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo
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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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