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Hi. I'm working on enhancing long sequence forecasting performance through finetuning. I have successfully replicated the zero-shot learning results shown in Table 22 and will use them as a baseline f…
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### Is your feature request related to a problem? Please describe.
The noncentral Wishart distribution is not available.
### Describe the solution you'd like.
I have implemented it in this gist:
…
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Hi!
I've been working on some projects recently where the majority of my work is python, but I'm calling to SageMath to get the polynomial rings of finite fields, which currently uses the NTL bindi…
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### Description
network analysis: temporal networks inlcuding multilevel vector autoregressive
### Purpose
To model directed associations and self-loops in panel and time series data
### Use-case…
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First off, thank you for all the hard work you have done in developing this package for R/stan. I am very excited to get to use it but I am having some trouble with computational speed. I wonder if I …
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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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Hi dafrie,
I thanks for your code, and your operations for datasets is helpful for me.
But I am very confused for timesteps=[1], why?
if timesteps=[1], the RNN only is usual MLP.
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Not a bug, but I was trying to analyze 30 years of hourly data with `xarray`, `dask`, and `mhkit` and having a lot of trouble getting things to run in a timely manner. I found that by simply re-writin…
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Bringing together notes for different cases of prediction results. This does not include conditional forecasting as in TSA, but includes non-linear and non-normal models.
example, simplest case OLS: …
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**edit** I found an earlier issue #2291 closing that as duplicate with less information)
In a twitter message, a user of statsmodels mentioned using tukey-hsd to compare models on test data (out-of…