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Hello TensorFlow Probability Team,
I'm using the Structural Time Series (STS) module for time series forecasting, specifically with a model that includes a `LinearRegression` component for exogenou…
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a. Present your preferred ETS and ARIMA forecasting models for the Sales Tax variable based on a six-month “hold-out” sample where you forecast into the last six months of the data (that is, define yo…
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## Description
When I run TimeSeriesPredictor and fit the model, I didn't find out whether or where the fitted in-sample values are provided.
Can anyone help me with it? Thanks!
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TSMars is an application of MARS regression (Multivariate adaptive regression spline) models to Time Seris Forecasting.
https://en.wikipedia.org/wiki/Multivariate_adaptive_regression_spline
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### Title
Hypergraph Convolutional Recurrent Neural Network
### URL
(https://tmpfiles.org/dl/3316673/yirnn.pdf)
### Summary
The paper by Jaehyuk Yi and Jinkyoo Park introduces a hypergraph co…
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As an AIFES researcher I want to be able to have a testbed setup which allows me to easily and quickly iterate over different forecasting pipelines*, so I can compare many forecasting pipelines* and d…
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- PyTorch-Forecasting version: 0.10.2
- PyTorch version: 1.8.2
- Python version: 3.9.12
- Operating System: Windows, Linux Ubuntu Subsystem
### Expected behavior
I executed the example code f…
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https://arxiv.org/abs/1910.13051
This approach feels very unique compared to the majority of forecasting models which are either using Transformers or DNNs while also being much faster.
It's for…
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**Is your feature request related to a problem? Please describe.**
So far, when detrending, we can use linear regression with polynomial features. I would like something more flexible, i.e. fiting li…
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### Describe the feature you want to add to this project
Hi,
There are already good tutorials for time series forecasting, but they mainly focus on statistical model.
Is it possible to create one…