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Shervin Khazaeli
Canada
เข้าร่วมเมื่อ 21 พ.ย. 2013
Bayesian Dynamic Linear Models (BDLM) for Time Series Data Analysis
In this video, I will explain how to use a particular probabilisitic modelling (BDLM) in order to predict/explain time series data.
The presentation is a part of the course project for the course "Large-scale data analysis and decision making" at HEC Montreal.
The presentation is a part of the course project for the course "Large-scale data analysis and decision making" at HEC Montreal.
มุมมอง: 4 775
Thanks @Shervin for this intresting vidio,
Very enlightening! Thank you very much for this awesome video!
did you write your presentation in latex? can you share what package you use to write it? how does the package handle the animation like how you show the equations step by step by clicking? I also like the outline bar on the top:-)
Yes I used Beamer. It's a class package of the LaTeX. You can send me your email and i'll send you the full package. Also, i offer the Beamer presentation on Udemy. You can take the course. Since it's a paid course, add it to your wish list and when the course is offered for free (usually 3 days) you can take it and you'll have a lifetime access. www.udemy.com/course/presentation-design-masterclass-latex/
very detailed explanation. thank you for this video
This is an amazing introduction to using PyBATs, thanks.
You can also check BDLM package for time series analysis on GitHub: github.com/CivML-PolyMtl/OpenBDLM
Thank you for this video. It has helped understand this form of time series modelling much better.
You can check our recent work as well. We combine the State-Space model with Reinforcement Learning to detect anomalies. th-cam.com/video/IjIjWPllDJA/w-d-xo.html