# Tag Info

### What are good ways to statistically test for noise?

Much of this answer is copied from an answer I have given in this related question. If you have data with seasonal effects in it, you would usually fit a model with seasonal terms and then extract ...
• 102k
1 vote

### Measuring events in sales time series

What you normally do in such situations is to apply randomized A/B testing. I.e., you randomly separate your customers into two parts $g_A$ (the control group) and $g_B$ (the treatment group), and ...
• 8,694
1 vote

• 27.8k

### Aggregated time series or regression approach?

There's a problem with aggregating data (Approach 2) in this context: the survival estimate for an "average" set of covariate values isn't necessarily the average of survival estimates among ...
• 69.1k
1 vote
Accepted

### Can I use interrupted time series analysis on irregular reported medical data?

Electronic healthcare records provide longitudinal data that don't have the regular observation times of panel or standard time-series data. Even if formal methods of interrupted (regularly spaced) ...
• 69.1k
1 vote

### How to account for the pandemic in time-series forecasting?

If your time series exhibits 'anomalous behavior' in more recent observations, you necessarily have to remove or at least 'adjust' the data. Otherwise, your model performance will suffer for future ...

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