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``` r
install.packages("astsa")
#> Installing package into 'C:/Users/shwet/AppData/Local/R/win-library/4.3'
#> (as 'lib' is unspecified)
#> package 'astsa' successfully unpacked and MD5 sums check…
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# Models
## Arima
- [x] Functional
- [x] Reimplement
- [x] Methods
## ETS
- [x] Functional
- [x] Reimplement
- [x] Methods
## naive / rwf / snaive
- [x] Functional
- [x] Reimple…
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### Summary
I have a quick question relevant to using MELODIC with tedana within fMRIPrep. Do folks think it would be a problem to run the ICA on smoothed optimally combined data just to get th…
tsalo updated
3 years ago
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To enhance the predictive performance of our models (Linear Regression, Random Forest, Gradient Boosting, LSTM, ARIMA, SARIMA), we need to explore and implement various feature engineering strategies.…
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Hi,
I mentioned on the QE discourse that I was looking at porting some of the Python code to Julia and was told to open an issue.
Listed below are lectures that could potentially be ported ove…
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```python
from kats.models.theta import ThetaModel, ThetaParams
params = ThetaParams(m=7) # Weekly seasonality
m = ThetaModel(data_ts, params) # data_ts -> daily data points
m.fit()
```
gives t…
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A given pixel may have velocities from two frames on the same track, which are currently treated as independent.
Given that the underlying data is the same, we need to set some sort of correlation be…
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### What problem does this feature solve?
This feature will help us to visualise the value out of overall value,at what percent it is
### What does the proposed API look like?
The proposed API will…
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What is the overall set of questions? @juliabruneau
- Monthly overview of trends is a good, useful analysis that tells us basic dynamics.
- What is the metric to tell us if there is a long-term tre…