View source for Talk:Finding relations between variables in time series

== potential sources of solutions ==
Convert time series into bunch of splines? Especially MARS! https://www.google.com/search?client=firefox-b-1-d&q=splines+time+series

https://andrewncarr.gumroad.com/l/everydaydata

https://stats.stackexchange.com/questions/tagged/time-series 
wow really so much I forgot! Anomalies and Events and Periodicity!
mentions QS : https://stats.stackexchange.com/questions/17623/how-to-detect-a-significant-change-in-time-series-data-due-to-a-policy-change/17661

https://hermandevries.nl/2020/09/23/relationships-between-hrv-sleep-and-physical-activity-in-personal-data/ suggested by gedankenstuek

 http://beautifuldata.net/2015/01/how-to-analyze-smartphone-sensor-data-with-r-and-the-breakoutdetection-package/
http://beautifuldata.net/2015/01/how-to-analyze-smartphone-sensor-data-with-r-and-the-breakoutdetection-package/#comment-37605 for raw sensor data.


https://www.nature.com/articles/s41398-021-01445-0 personalized time series machine learning it is. Fairly commonly recommended procedures to Data scientists. I suspect faults from not takeing into account issues with time series; no mention of unit root for example. "Analytics code is available upon request from the corresponding author."

https://forum.quantifiedself.com/t/interventions-to-improve-sleep/9599/15 just linear lasso but lag and other issues discussed.

https://github.com/fasiha/ebisu#the-math intense math for flashcard prediction and timing adjustment!

https://old.reddit.com/r/CausalInference/
https://www.reddit.com/r/CausalInference/comments/ti18wz/personalized_nof1_or_singlecasesubject_causal/

https://www.physiq.com/ "physIQ is the only company that uses FDA-cleared, AI-based analytics to “learn” and detect even the most subtle changes in an individual’s own unique physiology 24/7."

https://play.google.com/store/apps/details?id=edu.brown.selfe&hl=en_CA&referrer=utm_source%3Dgoogle%26utm_medium%3Dorganic%26utm_term%3D%22self-e%22+app formal elf experiment support app from brown. definitely not advanced analytics but still


do not forget https://en.wikipedia.org/wiki/Multimodal_distribution is also a source

https://correlaid.org/en/ where to headhunt data scientists