Independent Dissident. I don’t follow “The Science” (TM). I follow the Data. –“When there is no such thing as truth, you can’t define reality. & when you can’t define reality, the only thing that matters is power.” — Maajid Nawaz
Don’t follow the herd, follow your own internal compass
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"Veritas vos liberabit"
"The comes a time when one must take a position that is neither safe, nor politic, nor popular, but one must take it because it is right." -- Dr. Martin Luther King
"Rättvisa handlar inte om lika utfall, utan om lika spelregler" -- Alice Teodorescu
“The mediocre teacher tells. The good teacher explains. The superior teacher demonstrates. The great teacher inspires.” ― William Arthur Ward
When the facts change, I change my mind. What do you do, sir?" -- John Maynard Keynes
""Don't attribute to stupidity what can be adequately explained by a contract." -- Anonymous
"Without deviations from the norm, progress is not possible" -- Frank Zappa
"I must study politics and war that my sons may have liberty to study mathematics and philosophy and they in turn must study those subjects so that their children can study painting, poetry, music, architecture, statuary, tapestry, and porcelain." -- John Adams, Americas II president
"In a time of universal deceit - telling the truth is a revolutionary act." -- George Orwell
"The only thing necessary for the triumph of evil is for good men to do nothing." -- Edmund Burke
"Being normal is being merely average" -- Shawn Achor
“It is difficult to get a man to understand something, when his salary depends on his not understanding it.” -- Upton Sinclair
"I do not agree with what you have to say, but I'll defend to the death your right to say it." -- VoltaireSystems view
"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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Tag Archives: Scipy
A great tutorial on the FFT using Python, Numpy,Scipy & Matplotlib
Great FFT tutorial from Real Python
Corona : slowing down…?
Some further analysis on Corona, with data up and including yesterday. First, let’s look at the global spread: The first of these plots has linear (lin/lin) scale, and should be familiar from any of the many sites that post data … Continue reading
Posted in Bayes, Data Analytics, Epidemics, Numpy, Pandas, Probability, PYMC, Python, Research, Society, Statistics, Sverige
Tagged Bayes, Data Analysis, Epidemics, Matplotlib, Numpy, Pandas, Probability, Python, Research, Scipy, Society, Statistics
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Tour de Ski Final climb – does age matter for performance ?
In an earlier post, I analyzed data from the Marcialonga Ski race. Marcialonga is one of the classic long distance ski races, where both elite’ as well as amateurs compete together. In fact, the vast majority of the competitors in … Continue reading
Posted in Bayes, Data Analytics, Math, Numpy, Pandas, Probability, PYMC, Python, SNA, sports, Statistics
Tagged Bayes, Matplotlib, Numpy, Probability, PYMC, Python, Scipy, sports, Statistics
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Using Bayesian Inference to predict and bet on Italian Serie A Fotball
As my old timer readers know, I’be been using Bayesian Inference to predict and bet on various sporting events, such as FIFA World Cup, and IIHF World Championships. With some success. When the Italian premier division started for about a … Continue reading
Posted in Bayes, Data Analytics, Gambling, Machine Learning, Numpy, Probability, PYMC, Python, Simulation, Statistics
Tagged Bayes, Gambling, Machine Learning, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, Simulation, sports, Statistics, Technology
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Bayesian Multi-predictor Regression – Valet2018
[Continuing my exploration of the Swedish election results, but I thought this might be of interest also for those of you not very interested in the Swedish elections, simply because the potential MatStat’s insights – thus, the text is in … Continue reading
Posted in Bayes, Big Data, Data Analytics, Data Driven Management, Numpy, Politik, Probability, PYMC, Python, Research, Society, Statistics, Sverige
Tagged Bayes, Data Analysis, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, Statistics, Val2018
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PYMC – Markov Chain Monte Carlo regression – canonical example
Posted in Bayes, Data Analytics, Numpy, Probability, PYMC, Python, Statistics
Tagged Bayes, Markov Chain Monte Carlo, Matplotlib, Numpy, Probability, PYMC, Python, Scipy, Statistics
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Val2018 Bayesian Inference – sammanfattning
Nu är ju inte den slutgiltiga rösträkningen klar, men resultatet ur ett statistiskt / matematiskt perspektiv är ändå så stabilt att jag väljer att summera mina resultat redan nu. I graferna nedan har jag använt mig av samtliga opinionsinstituts prognoser … Continue reading
Posted in Bayes, Data Analytics, Functional Stupidity, Politik, Probability, PYMC, Society, Statistics, Sverige
Tagged Bayes, Matplotlib, Numpy, Pandas, Politik, Probability, PYMC, Python, Scipy, Society, Statistics, Sverige, Val2018
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Scientific Gambling – Ice Hockey World Championships starting tomorrow
The tournament is starting tomorrow with four games. From now on, future posts on this topic on the public Facebook group Scientific Gambling on Ice Hockey World Championships 2018 only. So, I you want to continue following how my Bayesian Inference engine … Continue reading
Posted in Bayes, Big Data, Data Analytics, Data Driven Management, Gambling, HOCKEY-2018, Math, Numpy, Probability, PYMC, Python, Statistics
Tagged Bayes, Data Analysis, Gambling, HOCKEY-2018, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, sports, Statistics
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Scientific Gambling – how do betting shops make money….?
Betting shops are commercial businesses, that is, they want to and must make money in order to survive. Like any other business. So take a casino as an example: they make money – in the long run – by having … Continue reading
Posted in Bayes, Data Analytics, Gambling, HOCKEY-2018, Math, Numpy, Probability, PYMC, Pystan, Python, Simulation, Statistics
Tagged Bayes, Data Analysis, Gambling, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, sports, Statistics
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Scientific gambling – How to identify potentially profitable odds/plays ?
In all sports gambling, success or failure is determined by a number of factors, luck not being the least of them, since in any sport there are loads of “Unknown Unknowns“, which we could also call “Uncertainty”. And then there … Continue reading
Posted in Bayes, Data Analytics, Data Driven Management, Gambling, HOCKEY-2018, Math, Numpy, Probability, PYMC, Python, Statistics
Tagged Bayes, Gambling, HOCKEY-2018, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, sports, Statistics
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systems perestroika - éminence grise 