Category Archives: Yale University Statistics Department

on nonlinear dynamics of hordes of people

I spent a bit of last week at a symposium honoring the work of Charney and Lorenz in fluid dynamics. I am no serious student of fluid dynamics. I have a friend, Klaus, an engineer, who is, and makes a … Continue reading

Posted in Anthropocene, bifurcations, biology, Carl Safina, causation, complex systems, dynamic generalized linear models, dynamic linear models, dynamical systems, ecological services, ecology, Emily Shuckburgh, finance, Floris Takens, fluid dynamics, fluid eddies, games of chance, Hyper Anthropocene, investments, Lenny Smith, Lorenz, nonlinear, numerical algorithms, numerical analysis, politics, population biology, population dynamics, prediction markets, Principles of Planetary Climate, public transport, Ray Pierrehumbert, risk, sampling networks, sustainability, Timothy Lenton, Yale University Statistics Department, zero carbon, ``The tide is risin'/And so are we'' | 1 Comment

Enough Already

“If you’re in a hole, stop digging.” “The Sky’s Limit: Why the Paris Climate Goals Require a Managed Decline of Fossil Fuel Production”

Posted in Anthropocene, Bloomberg New Energy Finance, bridge to nowhere, climate change, climate disruption, corporate litigation on damage from fossil fuel emissions, fossil fuel divestment, fossil fuels, games of chance, global warming, Hyper Anthropocene, investing, leaving fossil fuels in the ground, Mathematics and Climate Research Network, natural gas, population biology, population dynamics, Principles of Planetary Climate, quantitative ecology, science, the energy of the people, the green century, the tragedy of our present civilization, the value of financial assets, wind energy, wind power, Yale University Statistics Department, zero carbon

R and “big data”

On 2nd November 2015, Wes McKinney, the developer of the highly useful Python pandas module (and other things, including books), wrote an amusing blog post, “The problem with the data science language wars“. I by no means disagree with him. … Continue reading

Posted in Bayes, Bayesian, big data, bigmemory package for R, Jay Emerson, MCMC, numerics, Python 3, R, Yale University Statistics Department