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Performing T-tests to Compare Autocorrelated Time Series Data Collected from Direct-Reading Instruments
Patrick O’Shaughnessy & Joseph E. Cavanaugh
A unified view of linear AR(1) models
G.K. Grun…
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It's common practice to do feature analysis when building tabular classification models using methods like SHAP, to debug modelling issues, help explain model outputs to business stakeholders, etc.
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How can we use DFM for dimensionality reduction as specified in the following paper: https://www.researchgate.net/publication/227702453_Estimating_common_trends_in_multivariate_time_series_using_dynam…
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https://www.datacamp.com/tracks/sql-server-developer
- [x] Introduction to SQL Server
- [ ] Introduction to Relational Databases in SQL
- [ ] Intermediate SQL Server
- [ ] Time Series Analysis in SQL…
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First off, thanks JHU for exposing the data behind the dashboard. As an open data advocate, JHU's example should be encouraged and celebrated!
However, the data needs a little data-wrangling for i…
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Hi Tue, this is an interesting project, I am studying time series data analysis using ML techniques. It will be great if you could share the dataset here.
Thanks!
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hello i am trying to use the time_bucket_gapfill function but it does not work as expected.
i created a query like describe in this blog article:
https://blog.timescale.com/blog/sql-functions-for-…
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Add logic to stat analysis to compute forecast consistency measures.
1. Organize time series with fixed valid time for decreasing lead time, e.g. revision series.
2. Find revisions in summary stat…
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Hey guys,
Are you aware of use cases of UMAP to decompose univariate time series? I was thinking if it would be possible to do something like the spectral decomposition analysis, that essentially a…