Distributed Solar: The Democratizaton of Energy
Blogroll
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- 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/
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- American Statistical Association
- 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.”
- John Kruschke's "Dong Bayesian data analysis" blog Expanding and enhancing John’s book of same title (now in second edition!)
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- John Cook's reasons to use Bayesian inference
- Giant vertical monopolies for energy have stopped making sense
- Dr James Spall's SPSA
- Ives and Dakos techniques for regime changes in series
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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.
- Earle Wilson
- BioPython A collection of Python tools for quantitative Biology
- All about models
- London Review of Books
- All about Sankey diagrams
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- NCAR AtmosNews
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Label Noise
- Beautiful Weeds of New York City
- 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.
- Mrooijer's Numbers R 4Us
- Carl Safina's blog One of the wisest on Earth
- SASB Sustainability Accounting Standards Board
- Healthy Home Healthy Planet
- 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/.
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- International Society for Bayesian Analysis (ISBA)
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- 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.
- Number Cruncher Politics
- Gabriel's staircase
- 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
- American Association for the Advancement of Science (AAAS)
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- Dollars per BBL: Energy in Transition
- James' Empty Blog
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- 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.
- Mertonian norms
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- 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/
climate change
- MIT's Climate Primer
- Reanalyses.org
- Wally Broecker on climate realism
- Thriving on Low Carbon
- Jacobson WWS literature index
- Simple models of climate change
- weather blocking patterns
- Spectra Energy exposed
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- 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
- Climate model projections versus observations
- David Appell's early climate science
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- 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.
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- 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
- "A field guide to the climate clowns"
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Earth System Models
- 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.
- Ice and Snow
- History of discovering Global Warming From the American Institute of Physics.
- "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.
- Sea Change Boston
- The Sunlight Economy
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Social Cost of Carbon
- Solar Gardens Community Power
- Grid parity map for Solar PV in United States
- The Scientific Case for Modern Human-caused Global Warming
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Exxon-Mobil statement on UNFCCC COP21
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- An open letter to Steve Levitt
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- "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.)
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- 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.
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Berkeley Earth Surface Temperature
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Climate impacts on retail and supply chains
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
Archives
Jan Galkowski
Category Archives: cumulants
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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Cumulants and the Cornish-Fisher Expansion
“Consider the following.” (Bill Nye the Science Guy) There are random variables drawn from the same kind of probability distribution, but with different parameters for each. In this example, I’ll consider random variables , that is, each drawn from a … Continue reading
ecoquant
667 per centimeter : climate science, quantitative biology, statistics, and energy policy 