Distributed Solar: The Democratizaton of Energy
Blogroll
- "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
- Ives and Dakos techniques for regime changes in series
- Beautiful Weeds of New York City
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- 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/
- 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/.
- Healthy Home Healthy Planet
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- distributed solar and matching location to need
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Carl Safina's blog One of the wisest on Earth
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Earle Wilson
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- International Society for Bayesian Analysis (ISBA)
- Leadership lessons from Lao Tzu
- 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
- Mertonian norms
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Slice Sampling
- What If
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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.”
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- 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.
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- John Cook's reasons to use Bayesian inference
- The Keeling Curve: its history History of the Keeling Curve and Charles David Keeling
- Number Cruncher Politics
- Risk and Well-Being
- American Statistical Association
- "The Expert"
- BioPython A collection of Python tools for quantitative Biology
- Awkward Botany
- Karl Broman
- 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.
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- 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”
- 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
- Mrooijer's Numbers R 4Us
- Ted Dunning
- 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.
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Dr James Spall's SPSA
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
climate change
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- The Sunlight Economy
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- `Who to believe on climate change': Simple checks By Bart Verheggen
- Exxon-Mobil statement on UNFCCC COP21
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Social Cost of Carbon
- 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.
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- 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.
- Jacobson WWS literature index
- Risk and Well-Being
- Thriving on Low Carbon
- “The discovery of global warming'' (American Institute of Physics)
- An open letter to Steve Levitt
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- Andy Zucker's "Climate Change and Psychology"
- Climate at a glance Current state of the climate, from NOAA
- Climate Change Reports By John and Mel Harte
- 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.
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- 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 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
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- 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.
- 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
- On Thomas Edison and Solar Electric Power
- 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%.
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Jacobson WWS literature index
- Dessler's 6 minute Greenhouse Effect video
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Reanalyses.org
- Warming slowdown discussion
- Climate Change Denying Organizations
- Bloomberg interactive graph on “What's warming the world''
- "A field guide to the climate clowns"
- Berkeley Earth Surface Temperature
- Skeptical Science
- Documenting the Climate Deniarati at work
- Wally Broecker on climate realism
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
Archives
Jan Galkowski
Category Archives: data science
a song in praise of data scientist Rebekah Jones
I linked to Rebekah Jones‘ keynote address at the August 2020 Data Science Conference on COVID-19 sponsored by the National Institute for Statistical Science. Below is a song in tribute to her, wishing her well. (h/t Bill McKibben) We’re doing … Continue reading
Posted in American Association for the Advancement of Science, American Mathematical Society, American Statistical Association, Boston Ethical Society, children as political casualties, Data for Good, data science, geographic, geographic information systems, International Society for Bayesian Statistics, journalism, mathematics, New England Statistical Society, pandemic, Rebekah Jones, Risky Talk, science, Significance, statistical ecology, statistics, the problem of evil, whistleblowing, ``The tide is risin'/And so are we''
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What happens when time sampling density of a series matches its growth
This is the newly updated map of COVID-19 cases in the United States, updated, presumably, because of the new emphasis upon testing: How do we know this is the recent of recent testing? Look at the map of active cases: … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, anti-intellectualism, anti-science, climate denial, corruption, data science, data visualization, Donald Trump, dump Trump, epidemiology, experimental science, exponential growth, forecasting, Kalman filter, model-free forecasting, nonlinear systems, open data, penalized spline regression, population dynamics, sampling algorithms, statistical ecology, statistical models, statistical regression, statistical series, statistics, sustainability, the right to know, the stack of lies
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R ecosystem package coronavirus
Dr Rami Krispin of the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) has just released the R package coronavirus, which “provides a daily summary of the Coronavirus (COVID-19) cases by state/province“, caused by 2019-nCoV. (update 2020-03-12 … Continue reading
Posted in data presentation, data science, epidemiology
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Temperatures, Summers, Germany, ≈ 50.5N to 57.5N latitude
(Click on figure for larger image and use browser Back Button to return to blog.) Hat tip to Gregor Aisch, Adam Pearce, and Steve Hoey, and sourced from the mashup dataset and visuals by Lisa Charlotte Rost. Mr Aisch’s innovation … Continue reading
Procrustes tangent distance is better than SNCD
I’ve written two posts here on using a Symmetrized Normalized Compression Divergence or SNCD for comparing time series. One introduced the SNCD and described its relationship to compression distance, and the other applied the SNCD to clustering days at a … Continue reading
Posted in data science, dependent data, descriptive statistics, divergence measures, hydrology, Ian Dryden, information theoretic statistics, J.T.Kent, Kanti Mardia, non-parametric statistics, normalized compression divergence, quantitative ecology, R statistical programming language, spatial statistics, statistical series, time series
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Stream flow and P-splines: Using built-in estimates for smoothing
Mother Brook in Dedham Massachusetts was the first man-made canal in the United States. Dug in 1639, it connects the Charles River at Dedham, to the Neponset River in the Hyde Park section of Boston. It was originally an important … Continue reading
Posted in American Statistical Association, citizen data, citizen science, Clausius-Clapeyron equation, Commonwealth of Massachusetts, cross-validation, data science, dependent data, descriptive statistics, dynamic linear models, empirical likelihood, environment, flooding, floods, Grant Foster, hydrology, likelihood-free, meteorological models, model-free forecasting, non-mechanistic modeling, non-parametric, non-parametric model, non-parametric statistics, numerical algorithms, precipitation, quantitative ecology, statistical dependence, statistical series, stream flow, Tamino, the bootstrap, time series, water vapor
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Series, symmetrized Normalized Compressed Divergences and their logit transforms
(Major update on 11th January 2019. Minor update on 16th January 2019.) On comparing things The idea of a calculating a distance between series for various purposes has received scholarly attention for quite some time. The most common application is … Continue reading
Posted in Akaike Information Criterion, bridge to somewhere, computation, content-free inference, data science, descriptive statistics, divergence measures, engineering, George Sughihara, information theoretic statistics, likelihood-free, machine learning, mathematics, model comparison, model-free forecasting, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerical algorithms, statistics, theoretical physics, thermodynamics, time series
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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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Sampling: Rejection, Reservoir, and Slice
An article by Suilou Huang for catatrophe modeler AIR-WorldWide of Boston about rejection sampling in CAT modeling got me thinking about pulling together some notes about sampling algorithms of various kinds. There are, of course, books written about this subject, … Continue reading
Posted in accept-reject methods, American Statistical Association, Bayesian computational methods, catastrophe modeling, data science, diffusion processes, empirical likelihood, Gibbs Sampling, insurance, Markov Chain Monte Carlo, mathematics, Mathematics and Climate Research Network, maths, Monte Carlo Statistical Methods, multivariate statistics, numerical algorithms, numerical analysis, numerical software, numerics, percolation theory, Python 3 programming language, R statistical programming language, Radford Neal, sampling, slice sampling, spatial statistics, statistics, stochastic algorithms, stochastic search
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Erin Gallagher’s “#QAnon network visualizations”
See her most excellent blog post, a delve into true Data Science. (Click on figure to see a full-size image. It is large. Use your browser Back Button to return to this blog afterwards.) Hat tip to Bob Calder and … Continue reading
Posted in data science, jibber jabber, networks
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Senn’s `… never having to say you are certain’ guest post from Mayo’s blog
via S. Senn: Being a statistician means never having to say you are certain (Guest Post) See also: E. Cai’s blog post “Applied Statistics Lesson of the Day – The Matched Pairs Experimental Design”, from February 2014 A. Deaton, N. … Continue reading
Posted in abstraction, American Association for the Advancement of Science, American Statistical Association, cancer research, data science, ecology, experimental design, generalized linear mixed models, generalized linear models, Mathematics and Climate Research Network, medicine, sampling, statistics, the right to know
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Eli on “Tom [Karl]’s trick and experimental design“
A very fine post at Eli’s blog for students of statistics, meteorology, and climate (like myself) titled: Tom’s trick and experimental design Excerpt: This and the graph from Menne at the top shows that Karl’s trick is working. Although we … Continue reading
Posted in American Meteorological Association, American Statistical Association, AMETSOC, anomaly detection, climate, climate change, climate data, data science, evidence, experimental design, generalized linear mixed models, GISTEMP, GLMMs, global warming, model comparison, model-free forecasting, reblog, sampling, sampling networks
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“Hadoop is NOT ‘Big Data’ is NOT Analytics”
Arun Krishnan, CEO & Founder at Analytical Sciences comments on this serious problem with the field. Short excerpt: … A person who is able to write code using Hadoop and the associated frameworks is not necessarily someone who can understand … Continue reading
Is the answer to the democratization of Science doing more Citizen Science?
I have been following, with keen interest, the post and comment thread pertaining to “Democratising science” at the blog I monitor daily, … and Then There’s Physics. I think the core subject being discussed is a little different from my … Continue reading
Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, astronomy, astrophysics, biology, citizen data, citizen science, citizenship, data science, ecology, education, environment, evidence, life purpose, local self reliance, marine biology, mathematics, mathematics education, maths, moral leadership, new forms of scientific peer review, open source scientific software, science, science education, statistics, the green century, the right to know
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A new feature: Technical publications of the week
I’m beginning a new style of column, called technical publications of the week. While I can’t promise these will be weekly, I will, from time to time, highlight technical publications I’ve recently read which I consider to be noteworthy. I … Continue reading
Posted in Anthropocene, big data, climate change, climate disruption, data science, data streams, earthquakes, geophysics, global warming, Hyper Anthropocene, Locality Sensitive Hashing, LSH, MinHash, numerical algorithms, numerical analysis, random projections, seismology, subspace projection methods, SVD, the right to be and act stupid, the tragedy of our present civilization, the value of financial assets
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Why scientific measurements need to be adjusted
There is an excellent piece in Ars Technica about why scientific measurements need to be adjusted, and the implications of this for climate data. It is written by Scott K Johnson and is called “Thorough, not thoroughly fabricated: The truth … Continue reading
Posted in American Association for the Advancement of Science, American Meteorological Association, American Statistical Association, AMETSOC, Berkeley Earth Surface Temperature project, Canettes Blues Band, citizen data, climate data, data science, environment, evidence, geophysics, GISTEMP, HadCRUT4, mathematics education, meteorological models, obfuscating data, open data, physics, science, spatial statistics, Tamino, the right to know, the tragedy of our present civilization, Variable Variability
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Sleeping Giant Awakening
Originally posted on Climate Denial Crock of the Week:
https://twitter.com/johnmyers/status/809097380456865792 Wikipedia: Isoroku Yamamoto’s sleeping giant quotation is a quote by the Japanese Admiral Isoroku Yamamoto regarding the 1941 attack on Pearl Harbor by forces of Imperial Japan. The quotation is portrayed at the very end of…
Posted in adaptation, American Association for the Advancement of Science, American Meteorological Association, American Solar Energy Society, American Statistical Association, AMETSOC, Anthropocene, California, Carbon Worshipers, citizen data, citizen science, climate, climate change, climate data, climate disruption, data science, Donald Trump, ecology, Ecology Action, geophysics, global warming, Hyper Anthropocene, ignorance, Jerry Brown, science, sustainability, the right to be and act stupid, the right to know, the stack of lies, the tragedy of our present civilization
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Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION: A Review
(Revised and updated Monday, 24th October 2016.) Weapons of Math Destruction, Cathy O’Neil, published by Crown Random House, 2016. This is a thoughtful and very approachable introduction and review to the societal and personal consequences of data mining, data science, … Continue reading
Posted in citizen data, citizen science, citizenship, civilization, compassion, complex systems, criminal justice, Daniel Kahneman, data science, deep recurrent neural networks, destructive economic development, economics, education, engineering, ethics, Google, ignorance, Joseph Schumpeter, life purpose, machine learning, Mathbabe, mathematics, mathematics education, maths, model comparison, model-free forecasting, numerical analysis, numerical software, open data, optimization, organizational failures, planning, politics, prediction, prediction markets, privacy, rationality, reason, reasonableness, risk, silly tech devices, smart data, sociology, Techno Utopias, testing, the value of financial assets, transparency
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NextGen VOICES: `On data’, `On setbacks’, and `On discovery’
Science Magazine has a periodic column called Science in brief and occasionally that column features a set of what they call “NextGen VOICES”, meaning young scientists. They gather the survey using Twitter (of course) via the hashtag #NextGenSci. For the … Continue reading
“Holy crap – an actual book!”
Originally posted on mathbabe:
Yo, everyone! The final version of my book now exists, and I have exactly one copy! Here’s my editor, Amanda Cook, holding it yesterday when we met for beers: Here’s my son holding it: He’s offered…
Posted in American Association for the Advancement of Science, Buckminster Fuller, business, citizen science, citizenship, civilization, complex systems, confirmation bias, data science, data streams, deep recurrent neural networks, denial, economics, education, engineering, ethics, evidence, Internet, investing, life purpose, machine learning, mathematical publishing, mathematics, mathematics education, maths, moral leadership, multivariate statistics, numerical software, numerics, obfuscating data, organizational failures, politics, population biology, prediction, prediction markets, privacy, quantitative biology, quantitative ecology, rationality, reason, reasonableness, rhetoric, risk, Schnabel census, smart data, sociology, statistical dependence, statistics, the right to be and act stupid, the right to know, the value of financial assets, transparency, UU Humanists
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data.table
R provides a helpful data structure called the “data frame” that gives the user an intuitive way to organize, view, and access data. Many of the functions that you would us… Source: Intro to The data.table Package
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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“Catching long tail distribution” (Ted Dunning)
One of the best presentations on what can happen if someone takes a naive approach to network data. It also highlights what is, to my mind, the greatly underappreciated t-distribution, which is typically only used in connection with frequentist Student … Continue reading
Climate Denial Fails Pepsi Challenge
Originally posted on Climate Denial Crock of the Week:
Stephen Lewandowsky specializes in conducting research that pulls back the curtain climate denial psychology. He’s done it again. Washington Post: Researchers have designed an inventive test suggesting that the arguments commonly used…
Posted in American Association for the Advancement of Science, American Statistical Association, card draws, card games, chance, climate, climate change, climate data, climate education, confirmation bias, data science, denial, disingenuity, education, false advertising, fear uncertainty and doubt, fossil fuels, games of chance, geophysics, global warming, ignorance, mathematics, mathematics education, maths, obfuscating data, rationality, reasonableness, risk, science, science education, sociology, the right to know
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Of my favorite things …
(Clarifying language added 4 Apr 2016, 12:26 EDT.) I just watched an episode from the last season of Star Trek: The Next Generation entitled “Force of Nature.” As anyone who pays the least attention to this blog knows, opposing human … Continue reading
Posted in Anthropocene, bridge to somewhere, bucket list, Buckminster Fuller, Carl Sagan, climate, climate change, climate disruption, climate education, compassion, data science, Earle Wilson, ecology, Ecology Action, environment, evolution, geophysics, George Sughihara, global warming, Hyper Anthropocene, life purpose, mathematics, mathematics education, maths, numerical analysis, optimization, philosophy, physical materialism, physics, population biology, population dynamics, proud dad, quantitative biology, quantitative ecology, rationality, reasonableness, science, sociology, statistics, stochastic algorithms
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HadCRUT4 and GISTEMP series filtered and estimated with simple RTS model
Happy Vernal Equinox! This post has been updated today with some of the equations which correspond to the models. An assessment of whether or not there was a meaningful slowdown or “hiatus” in global warming, was recently discussed by Tamino … Continue reading
Posted in AMETSOC, anemic data, Bayesian, boosting, bridge to somewhere, cat1, changepoint detection, climate, climate change, climate data, climate disruption, climate models, complex systems, computation, data science, dynamical systems, geophysics, George Sughihara, global warming, hiatus, information theoretic statistics, machine learning, maths, meteorology, MIchael Mann, multivariate statistics, physics, prediction, Principles of Planetary Climate, rationality, reasonableness, regime shifts, sea level rise, time series
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p-values and hypothesis tests: the Bayesian(s) rule
The American Statistical Association of which I am a longtime member issued an important statement today which will hopefully move statistical practice in engineering and especially in the sciences away from the misleading practice of using p-values and hypothesis tests. … Continue reading
Posted in approximate Bayesian computation, arXiv, Bayes, Bayesian, Bayesian inversion, bollocks, Christian Robert, climate, complex systems, data science, Frequentist, information theoretic statistics, likelihood-free, Markov Chain Monte Carlo, MCMC, Monte Carlo Statistical Methods, population biology, rationality, reasonableness, science, scientific publishing, statistical dependence, statistics, stochastics, Student t distribution
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ecoquant
