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I have a dataset of oil temperatures. The time series consist of 100 hours of measurement at every second. There is an anomaly in the data that I would like to detect using Hidden Markov Models (HMM). In Matlab I used `hmmgenerate`

, however I'm not able to link my data to the assumed probabilities. Instead random states and sequences are generated. Could anyone help me?

I'm not familiar with Matlab HMM, but from looking at the documentation, perhaps hmmtrain would better suit your objective? https://www.mathworks.com/help/stats/hmmtrain.html

– Hobbes – 2017-02-03T16:02:57.040Welcome to DataScience SE. If you can post some code and some output it would be helpful for people. – Stereo – 2017-02-03T20:48:01.630