Distributed Solar: The Democratizaton of Energy
Blogroll
- South Shore Recycling Cooperative
- All about ENSO, and lunar tides (Paul Pukite)
- The Alliance for Securing Democracy dashboard
- "Talking Politics" podcast
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- London Review of Books
- Ives and Dakos techniques for regime changes in series
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climate change
- "Warming Slowdown?" (part 2 of 2)
- Agendaists
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- Équiterre
- Mrooijer's Global Temperature Explorer
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH)
- Professor Robert Strom's compendium of resources on climate change
- Ray Pierrehumbert's site related to "Principles of Planetary Climate"
- weather blocking patterns
- The Scientific Case for Modern Human-caused Global Warming
Archives
Category Archives: capture-mark-recapture
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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