Distributed Solar: The Democratizaton of Energy
Blogroll
- Woods Hole Oceanographic Institution (WHOI)
- Karl Broman
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- BioPython A collection of Python tools for quantitative Biology
- Number Cruncher Politics
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- "Perpetual Ocean" from NASA GSFC
- 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
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- "The Expert"
- 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.”
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- 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
- All about models
- Gavin Simpson
- 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
- 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/
- Dollars per BBL: Energy in Transition
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- "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.
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- What If
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- American Statistical Association
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Healthy Home Healthy Planet
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- distributed solar and matching location to need
- Comprehensive Guide to Bayes Rule
- Ted Dunning
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Dr James Spall's SPSA
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- Gabriel's staircase
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Los Alamos Center for Bayesian Methods
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Awkward Botany
- Earle Wilson
- 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/
- 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”
- Subsidies for wind and solar versus subsidies for fossil fuels
- London Review of Books
- Leadership lessons from Lao Tzu
- Carl Safina's blog One of the wisest on Earth
climate change
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Jacobson WWS literature index
- History of discovering Global Warming From the American Institute of Physics.
- weather blocking patterns
- Bloomberg interactive graph on “What's warming the world''
- Solar Gardens Community Power
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- 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.
- Skeptical Science
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Reanalyses.org
- Sea Change Boston
- Ice and Snow
- World Weather Attribution
- Warming slowdown discussion
- 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
- `Who to believe on climate change': Simple checks By Bart Verheggen
- MIT's Climate Primer
- US$165/tonne CO2: Sweden Sweden has a Carbon Dioxide tax of US$165 per tonne at present. CO2 tax was imposed in 1991. GDP has grown 60%.
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- "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
- "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.
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The Sunlight Economy
- Climate at a glance Current state of the climate, from NOAA
- "Getting to the Energy Future We Want," Dr Steven Chu
- Dessler's 6 minute Greenhouse Effect video
- "Climate science is setttled enough"
- An open letter to Steve Levitt
- "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 net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- 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.
- Social Cost of Carbon
- Nick Bower's "Scared Scientists"
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Wally Broecker on climate realism
- Jacobson WWS literature index
- Risk and Well-Being
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Earth System Models
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- “The discovery of global warming'' (American Institute of Physics)
- 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
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
Archives
Jan Galkowski
Category Archives: maximum likelihood
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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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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Six cases of models
The previous post included an attempt to explain land surface temperatures as estimated by the BEST project using a dynamic linear model including regressions on both quarterly CO2 concentrations and ocean heat content. The idea was to check the explanatory … Continue reading
Posted in AMETSOC, anemic data, Anthropocene, astrophysics, Bayesian, Berkeley Earth Surface Temperature project, BEST, carbon dioxide, climate, climate change, climate data, climate disruption, climate models, dlm package, dynamic linear models, dynamical systems, environment, fossil fuels, geophysics, Giovanni Petris, global warming, greenhouse gases, Hyper Anthropocene, information theoretic statistics, maths, maximum likelihood, meteorology, model comparison, numerical software, Patrizia Campagnoli, Rauch-Tung-Striebel, Sonia Petrone, state-space models, stochastic algorithms, stochastic search, SVD, 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 