Distributed Solar: The Democratizaton of Energy
Blogroll
- Slice Sampling
- Professor David Draper
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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
- 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
- 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
- "The Expert"
- Leverhulme Centre for Climate Change Mitigation
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Los Alamos Center for Bayesian Methods
- John Cook's reasons to use Bayesian inference
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Healthy Home Healthy Planet
- Label Noise
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- London Review of Books
- 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 Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- James' Empty Blog
- Earle Wilson
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- BioPython A collection of Python tools for quantitative Biology
- Ives and Dakos techniques for regime changes in series
- Carl Safina's blog One of the wisest on Earth
- Ted Dunning
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- 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 Alliance for Securing Democracy dashboard
- Gabriel's staircase
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- 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”
- SASB Sustainability Accounting Standards Board
- 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.
- Beautiful Weeds of New York City
- "Talking Politics" podcast David Runciman, Helen Thompson
- Awkward Botany
- Dollars per BBL: Energy in Transition
- Leadership lessons from Lao Tzu
- What If
- Mertonian norms
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Subsidies for wind and solar versus subsidies for fossil fuels
- Number Cruncher Politics
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
climate change
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- 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
- MIT's Climate Primer
- Grid parity map for Solar PV in United States
- On Thomas Edison and Solar Electric Power
- World Weather Attribution
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- 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.
- Spectra Energy exposed
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- "A field guide to the climate clowns"
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- 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.
- And Then There's Physics
- Agendaists Eli Rabett’s coining of a phrase
- Dessler's 6 minute Greenhouse Effect video
- Interview with Wally Broecker Interview with Wally Broecker
- David Appell's early climate science
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- "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.
- Mrooijer's Global Temperature Explorer
- "Climate science is setttled enough"
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Documenting the Climate Deniarati at work
- Sea Change Boston
- Risk and Well-Being
- Reanalyses.org
- Bloomberg interactive graph on “What's warming the world''
- "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.
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Thriving on Low Carbon
- "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
- History of discovering Global Warming From the American Institute of Physics.
- 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.
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- The Sunlight Economy
- RealClimate
- Wally Broecker on climate realism
- 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.
- `Who to believe on climate change': Simple checks By Bart Verheggen
- 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%.
- Exxon-Mobil statement on UNFCCC COP21
- SolarLove
- Jacobson WWS literature index
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
1 Comment
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
Leave a comment
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
Leave a comment
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
1 Comment
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
Leave a comment
ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 