Showing posts with label PyTorchcode. Show all posts
Showing posts with label PyTorchcode. Show all posts

PyTorch : A Simple MLP model for Univariate Time Series Forecasting

This post explains how to implement a simple MLP model for a univariate time series forecasting using PyTorch. The estimation of the PyTorch model is slightly different from the Keras model, so it's worth focusing on how it differs.

Tentative Topics (Keeping Track to Avoid Forgetting)

Segmented Nelson-Siegel model
Shifting Endpoints Nelson-Siegel model
Nadaraya-Watson estimator
Locally weighted scatterplot smoothing (LOWESS)
Time-Varying Parameter Vector Autoregressions (TVP-VAR)
Time-varying or Dynamic Copula
Bayesian VAR
Adrian-Crump-Moench (ACM) term premium model
GARCH-EVT-Copula approach