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Hi,
I wonder why the approximation functions PAA and DFT are applied to the rows? In my opinion based on what I found in the papers and dissertation of Patrick Schäfer, this should be applied to th…
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see also #4046
random notes because results are all over the literature, and it's often difficult to find a specific item
- multivariate copulas, formulas for Frank, Gumbel and Cook-Johnson
S…
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The current implementation of [`default_multivariate_normal_fn`](https://github.com/tensorflow/probability/blob/v0.9.0/tensorflow_probability/python/layers/util.py#L202) looks like (excluding doc-stri…
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This is a re-post of an [issue in ert-examples](https://github.com/equinor/ert-internal-examples/issues/116), because testing properties of the update should be done in ERT or IES repositories. When i…
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Hi, first of all thank you so much for your job! I am trying to implement the second part of Deeplog model concerning the parameter value vector anomaly detection and test in on the HDFS dataset used…
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Here it is said that the narrowly distributed temperature readings represent a more accurate thermometer, when I think it is intended to mean a more precise one. The book previously established that w…
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### 🐛 Describe the bug
Ref https://github.com/pytorch/pytorch/issues/106110
Size-like SymInts currently let us definitively answer that an unbacked SymInt does not equal 0 or 1, in cases where the…
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- [ ] Cluster . Clusterize the information creating different groups or type of entities
- [ ] What are the probability to not be a Lead?
- [ ] Hyphotesis creation, a discriminator to refuse what ar…
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**What's the need?**
random.multivariate_normal works great for but is limited to sampling real vectors. Today, if ones would like to generate from complex multivariate distribution from (mu, Omega),…
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I need to generate a random covariance matrix for a multivariate complex normal distribution test. I used the `scipy.stats.random_correlation` function to generate the covariance in the real case. W…