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Educate-Inspire-Change
Empty Suit
Definition: An amateur who's been given the power to set the goals & objectives for professionals to follow, and thinks of himself as a strong leader.Ethics
"Veritas vos liberabit"
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"Our organization was designed for a problem that no longer existed; we had brought an industrial age force to an information-age conflict." --Stan McChrystal- A/B Testing
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Top Posts & Pages past few days
- Corona Sweden - time to batten down the hatches...?
- Corona - estimated true mortality rate presented using a Nomogram
- Great Circle Navigation
- Capturing NMEA sentences over WiFi using Python
- Corona - Sweden, The Anomaly: pure luck or are we doing something right...?
- Parsing NMEA 0183 sentences in Python
- Corona - ratio of daily deaths caused by Corona, by country
- Python,Pandas, Statsmodels: Linear Regression - dealing with categorical data
- Image processing with Python, Numpy & Scipy - image convolution
- A great illustration of the Swedish Corona strategy
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Category Archives: Data Analytics
Corona Sweden – time to batten down the hatches…?
[Instructions on how to read the graph here] Second day in row now when the Expected Number of daily deaths for Sweden is way above where it should be, given how the growth process has evolved thus far. That is, … Continue reading
Posted in Bayes, Data Analytics, Epidemics, Probability, PYMC, Statistics, Sverige
Tagged Bayes, Epidemics, MCMC, Probability, PYMC, Statistics, Sweden
2 Comments
Corona – Expected Daily Deaths
Below Expected Daily Deaths distributions for: [‘India’,’Italy’,’Spain’,’Sweden’,’US’, ‘Korea, South’,’Netherlands’,’Canada’,’Germany’,’New York’] Info on how to read the plots can be found here.
Posted in Bayes, Data Analytics, Epidemics, Probability, PYMC, Statistics
Tagged Bayes, Epidemics, MCMC, Probability, PYMC, Statistics
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Corona death numbers increasing – reason to panic…?
[UPDATE 2020–04-02 Added Violinplot for US. Graphs for a bunch of other countries, plus New York State, can be found here] I’ve noticed that as soon as the number of reported confirmed or the number of reported deaths jump upwards … Continue reading
Posted in Bayes, Data Analytics, Epidemics, PYMC
Tagged Bayes, Data Analysis, MCMC, Probability, PYMC
4 Comments
Corona – estimated true mortality rate 2020-04-01
Look here for instruction on how to read the Nomogram.
Corona US states – gdp influence on spread
Looks like GDP has an inpact on both number of confirmed and number of dead. Perhaps a spurious correlation, or then again, perhaps not… Below graphs show regression for confirmed_per_million and deaths_per_million, over gdp, for US states [I’ve removed District … Continue reading
Posted in Bayes, Data Analytics, Epidemics, Probability, PYMC, Statistics
Tagged Bayes, Data Analysis, Epidemics, Probability, PYMC, Statistics
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Corona New York – it’s *really* extreme..!
New York is hit very hard by Corona, we know that. But exactly how hard…? Turns out it’s extremely hard: the number of confirmed corona cases per million habitants in New York is 6 (!) standard deviations over US mean…! … Continue reading
Posted in Bayes, Data Analytics, Epidemics, PYMC, Society, Statistics
Tagged Bayes, Data Analysis, Epidemics, PYMC, Society
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Corona – New York compared to 10 Countries
New York has been hit hard by Corona. However, it seems that the growth rate as well as the death rate are now quickly slowing down.
Posted in Data Analytics, Epidemics, Society, Statistics
Tagged Data Analysis, Epidemics, Society, Statistics
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Bayesian Inference – Corona (Technical)
[This is a technical post. Those of you mainly interested in the daily Corona numbers may want to skip this] Now, after about a month of basically full time Data Analysis of the Corona statistics, perhaps it’s a good point … Continue reading
Posted in Bayes, Data Analytics, Epidemics, Probability, PYMC, Statistics
Tagged Bayes, Epidemics, MCMC, Probability, PYMC, Statistics
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Corona – estimation of true mortality rate, as of 2020-03-29
Courtesy of my friend Joe Marasco, here’s an update to the Nomogram previously explained here.
