### Distributed Solar: The Democratizaton of Energy

### Blogroll

- AP Statistics: Sampling, by Michael Porinchak
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION
- Gavin Simpson
- "Consider a Flat Pond"
- Quotes by Nikola Tesla
- Why "naive Bayes" is not Bayesian
- Mertonian norms
- Tim Harford's “More or Less''
- Leadership lessons from Lao Tzu
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"

### climate change

- Climate impacts on retail and supply chains
- Skeptical Science
- Mrooijer's Global Temperature Explorer
- Updating the Climate Science: What path is the real world following?
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example
- Andy Zucker's "Climate Change and Psychology"
- MIT's Climate Primer
- Earth System Models
- "When Did Global Warming Stop"
- `Who to believe on climate change': Simple checks

### Archives

# Category Archives: sampling algorithms

## 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
1 Comment

## 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
1 Comment

## “Ten Fatal Flaws in Data Analysis” (Charles Kufs)

Professor Kufs has a fun book, Stats with Cats, and a blog. He also has a blog post tiled “Ten Fatal Flaws in Data Analysis” which, in general, I like. But the presentation has some shortcomings, too, which I note … Continue reading