Distributed Solar: The Democratizaton of Energy
Blogroll
- Dollars per BBL: Energy in Transition
- Earle Wilson
- American Association for the Advancement of Science (AAAS)
- The Mermaid's Tale
- Mrooijer's Numbers R 4Us
- Gabriel's staircase
- Survey Methodology, Prof Ron Fricker
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- John Cook's reasons to use Bayesian inference
- BioPython
climate change
- Earth System Models
- Climate Change: A health emergency … New England Journal of Medicine
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Tamino's Open Mind
- “Ways to [try to] slow the Solar Century''
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Simple models of climate change
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper)
- Professor Robert Strom's compendium of resources on climate change
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
Archives
Category Archives: V. M. R. Muggeo
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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