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0votes
1answer
102views

What method is recommended after outliers removal?

I have a data of mice reaction times. In every session, there are some trials in which the mouse "decides of a break" and responds after a long time to these specific trials. I was thinking ...
user135172's user avatar
0votes
1answer
107views

How to distinguish between normal fluctuation and outliers in ARIMA model?

I have a dataset about sales per day of certain products at the ITEM/DAY/STORE level , I've plotted the series and visually examined it for any outliers, volatility, or irregularities. And this is ...
ilni's user avatar
2votes
1answer
284views

Probabilistic Outlier Detection (edited + clarified)

Measured data $D \in \mathbb{R}^3$, every $d^i \in D$ is $d^i_{(x)}$, where the $x=[x_1, x_2]$. Simply said, the measured data are function of $x$. It is known, the dependency is linear, such as: $$...
Martin G's user avatar
1vote
1answer
65views

Taking advatage of the frequency of an outlier

I'm doing outlier detection (Conditional Outliers) on a multivariate time series. The outliers appear every 2 weeks $\pm$ 4 days. How can I incorporate this prior in my models, to reduce the number ...
Databoi's user avatar
-1votes
1answer
139views

Considering outliers in demand predictions

I have times series data with demand observations during months. I was wondering if, when computing demand predictions, I need to consider the outliers of the observations or not. What is your opinion ...
Bernheart's user avatar

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