Talk:Finding relations between variables in time series

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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 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.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

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

https://cran.r-project.org/web/views/TimeSeries.html