Category Archives: Big Data

Global Warming – soon in a place near you

Just downloaded hourly temperature data from SMHI, the Swedish Meteorological & Hydrological Institute, taken on Svenska Högarna, one of the islands in the remote Stockholm Archipelago, for the years 1949 – 2018. The plots below present max/min/mean daily temps for … Continue reading

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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

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Poor Man’s Climate Change exploration

The Swedish Meteorological & Hydrological Institute (SMHI) provide Open Data, that is, some of its huge databases on all things weather. I downloaded data on temperature from an observation post furthest out in the Stockholm archipelago, daily data on temperatures … Continue reading

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Convolutional Neural Networks with KERAS – Image recognition

A quick test shot with KERAS, inspired by this tutorial using the MNIST dataset of more than 60000 images of hand written digits. Task at hand: correctly identify as many as possible of these 28 x 28 images, looking like … Continue reading

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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

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Scientific Gambling on Ice Hockey Worlds – Bets for games of May 5th

Summary I’m using mathematical & statistical methods, more specifically, Bayesian Inference, Markov Chain Monte Carlo, simulation and Probabilistic Programming, attempting to predict the game outcomes of the upcoming Ice Hockey World Championships, starting May 4th. Based on the findings of … Continue reading

Posted in AI, Bayes, Big Data, Business, Data Analytics, Data Driven Management, Gambling, HOCKEY-2018, Math, Numpy, Probability, PYMC, Python, Statistics | Tagged , , , , , , , , , , , , , | Leave a comment

Predicting the outcome of World Championships in Ice Hockey using Bayesian Inference

Just for fun, I thought I’d implement a Bayesian “statistical inference engine” for some sports tournament. For whatever reason, I came to choose ice hockey world championships, training my inference engine on data from the 2016 tournament, and testing its … Continue reading

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Linear Regression – comparing Bayesian with Frequentist approach

[This post was inspired by Richard McElreath] One of the nice characteristics of Bayesian methods is that you are always dealing with full distributions. On the other hand, in a Frequentist (tratitional) approach, you will mostly deal with point estimators, … Continue reading

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Eurostat Statistics part V: hospital beds per capita

[Datasource: Eurostat]

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Profiling & targeted marketing for business & politics: the power of Data Analytics

So, Cambridge Analytica and Facebook are now under fire for alleged misconduct in the latest US presidential campaign – however, the strategies and tactics employed by Cambridge analytica are not new, just a bit more refined than the tactics used … Continue reading

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