J. Dehning et al., Science 369, eabb9789 (2020). DOI: 10.1126/science.abb9789 Source code and data. Note: This is not a classical approach to assessing strength of interventions using either counterfactuals or other kinds of causal inference. Accordingly, the argument for the … Continue reading
Posted in American Association for the Advancement of Science, American Statistical Association, Bayesian, Bayesian computational methods, causal inference, causation, changepoint detection, coronavirus, counterfactuals, COVID-19, epidemiology, SARS-CoV-2, state-space models, statistical series, time series
via Code for causal inference: Interested in astronomical applications From Professor Ewan Cameron at his Another Astrostatistics Blog.
I love it. Professor Tony Seba, Stanford, 1 week ago. It means anyone who continues to invest in or support the fossil fuels hegemony will be fundamentally disappointed by the markets. And it serves them right. By efficiency, or momentum, … Continue reading
Posted in American Statistical Association, anti-intellectualism, anti-science, Bloomberg New Energy Finance, BNEF, bridge to nowhere, Buckminster Fuller, Carbon Tax, Carbon Worshipers, causation, central banks, children as political casualties, citizen science, citizenship, clean disruption, climate, climate business, climate change, climate data, climate disruption, climate economics, Climate Lab Book, Climate Science Legal Defense Fund, coastal communities, coastal investment risks, coasts, Commonwealth of Massachusetts, Constitution of the Commonwealth of Massachusetts, consumption, corporate responsibility, corporations, corruption, critical slowing down, ctDNA, Cult of Carbon, David Archer, David Spiegelhalter, decentralized electric power generation
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''
I was asked by ATTP at their blog: hypergeometric, Which bit of what Dikran said do you disagree with? It certainly seems reasonable to me; if you want to explain how something could cause something else, you need to use … Continue reading