### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Awkward Botany
- Rasmus Bååth's Research Blog
- Comprehensive Guide to Bayes Rule
- Logistic curves in market disruption
- South Shore Recycling Cooperative
- Why It’s So Freaking Hard To Make A Good COVID-19 Model
- Hermann Scheer
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al)
- Leverhulme Centre for Climate Change Mitigation
- Pat's blog

### climate change

- Climate Change Reports
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- SOLAR PRODUCTION at Westwood Statistical Studios
- HotWhopper: It's excellent.
- The Keeling Curve
- `Who to believe on climate change': Simple checks
- "Betting strategies on fluctuations in the transient response of greenhouse warming"
- Sir David King
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry

### Archives

### Jan Galkowski

# Category Archives: bigmemory package for R

## On Smart Data

One of the things I find surprising, if not astonishing, is that in the rush to embrace Big Data, a lot of learning and statistical technique has been left apparently discarded along the way. I’m hardly the first to point … Continue reading

Posted in Akaike Information Criterion, Bayes, Bayesian, Bayesian inversion, big data, bigmemory package for R, changepoint detection, data science, data streams, dlm package, dynamic generalized linear models, dynamic linear models, dynamical systems, Generalize Additive Models, generalized linear models, information theoretic statistics, Kalman filter, linear algebra, logistic regression, machine learning, Markov Chain Monte Carlo, mathematics, mathematics education, maths, maximum likelihood, MCMC, Monte Carlo Statistical Methods, multivariate statistics, numerical analysis, numerical software, numerics, quantitative biology, quantitative ecology, rationality, reasonableness, sampling, smart data, state-space models, statistical dependence, statistics, the right to know, time series
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## 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