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What are some of the RNN/LSTM models for handling mixed frequency/asynchronous time series data, such as macroeconomics, financial, precipitation, etc.?

So far I have found phased lstm from a similar question

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.

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