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### Description
When translating
```modelica
model TestModel "test model"
Real T;
input Real Tref1 "reference Temperature";
parameter Real alpha1 = 10;
parameter Real T0 = 0 "start …
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What's the use of this .txt file.
I am new to python so if you can share the links of the datasets used i think i can uderstand the code in a better way
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This is a causal inference technique for time series that employs complexity estimators based on lossless data compression algorithms. Relevant publications:
https://peerj.com/articles/cs-196/
https…
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hi, thanks for your sharing. For the segmentation, why the dual causality loss is not used?
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For example, if an internal transition causes an input transition, this is erroneous.
Are there further checks of this style?
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STPA has a pretty significant list of causality guidewords, and it would be great to add them to the occurrence property definition. It'll be tricky, though, because the guidewords may need to be ins…
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maybe useful (I didn't look at it)
Roy, Anindya, Tucker S. McElroy, and Peter Linton. 2014. “Estimation of Causal Invertible VARMA Models.” arXiv:1406.4584 [Math, Stat], June. http://arxiv.org/abs/…
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I am not sure if I can ask here, or email the authors of the paper.... I really do not know with whom to discuss this, but I will try my luck here.
After reading the DICE paper, my understanding is…
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Hi,
Great package. One question/clarification -
I have a discontinuoud time series data. It is alarm data from telecom network where alarms comes suddenly in bursts and then nothing happens fo…
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See forked project on own github.
try out / test see if anything can be added (be good for this project I reckon, to add to some open source tech on this topic).
See if this can be helpful