Talk:Finding relations between variables in time series

Categorization

Currently this page is sorted in as a tool, though it's rather a meta-article. I wonder whether it would make more sense to file it under Topic instead but would love to hear second opinions on this! - Gedankenstuecke (talk) 12:53, 30 November 2021 (UTC)

if you think thats better then do it DG (talk)

I've moved it to a topic page and also restructured/renamed the page slightly to fit into the topic dimension. - Gedankenstuecke (talk) 08:56, 2 December 2021 (UTC)

potential sources of solutions

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. I jut think it was not done as well as it could be. no mention of unit root for example. "Analytics code is available upon request from the corresponding author."

source dump

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/lecture-notes/MIT6_S897S19_lec14.pdf

https://www.microsoft.com/en-us/research/group/alice/ just let microsoft do it. https://econml.azurewebsites.net/spec/motivation.html

https://github.com/cuge1995/awesome-time-series

https://github.com/youngdou/awesome-time-series-analysis

https://github.com/ejain/n-of-1-ml

https://github.com/yzhao062/anomaly-detection-resources#32-time-series-outlier-detection

https://github.com/gianlucatruda/quantified-sleep analysis before designing an intervention

https://www.gwern.net/Causality

https://papers.nips.cc/paper/2019/file/42a6845a557bef704ad8ac9cb4461d43-Paper.pdf

https://ml4qs.org/ hoogendoorn and funke

to test algorithm generate data https://old.reddit.com/r/rstats/comments/nhenrm/recommend_r_packages_to_generate_data/ but is it time series? https://www.cs.cmu.edu/afs/cs/project/jair/pub/volume13/cheng00a-html/node15.html

https://academic.oup.com/jamia/article/24/1/198/2631444

https://physionet.org/about/tutorial/#exploreanalyse

extra... https://forum.quantifiedself.com/search?q=matlab https://www.google.com/search?q=non+independence+of+observations https://www.google.com/search?q=time+series+distributions https://www.google.com/search?q=time+series+kernel+binning

maybe ask here again https://old.reddit.com/r/AskStatistics/ maybe datasets https://old.reddit.com/r/datasets/search?q=time+health+subreddit%3Adatasets&include_over_18=on&sort=relevance&t=all