A few days after reading my Doctoral Thesis. (4th March 2022)
I would like to share with the scientific and business community what my working model has been.
My Thesis is based on Data Science, in particular, I have researched in Statistical Learning, Clustering and Time Series. I have tried to follow the London School of Economics (The London School of Economics and Political Science (LSE)) doctoral model, in particular, the PhD in Statistics in the area of "Time series and statistical learning" (https://lnkd.in/d8kdK6hG -Students/PhD-MPhil/PhD-in-Statistics).
This branch is very innovative in the field of Data Science, the LSE researchers are young and with recent research LSE Department of Statistics. Personally, I understand that many of my referents have studied and done their research there. Their resumes endorse them by creating new lines of research (https://lnkd.in/dHczmjRY).
My research interests are Time Series and Statistical Learning. For anyone interested, you can contact me and analyse positions.
In the image, there is a work scheme followed in the Thesis entitled: "Big Data and Information Theory for Decision-Making: An Application to the Tourism Demand".
It has been a humble project but with great enthusiasm. If you think you can contribute scientifically to the paper called: "Spatio-temporal clustering: Neighborhoods based on median seasonal entropy" https://lnkd.in/dsQVVPzg
I will be happy to receive comments and study possible contributions.
Greetings.
Miguel Angel
CV: https://drive.google.com/file/d/1JG9XOcaKUo3csfJ2LRPflsXL3b7DU7Fx/view
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