What are some of the RNN/LSTM models for handling mixed frequency/asynchronous time series data, such as macroeconomics, financial, precipitation, etc.?
Masking missing timesteps link
I have also tried dynamic factor models, however they do not scale well for daily features.
I would appreciate any advice on working with mixed frequency data.