HARK
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Deep learning model estimation
Once we have a general model language/object in HARK, and a robust monte carlo simulator (see #1296) it would be good to have a suite of estimation methods.
@JLDC has developed a "Deep Simulated Moments" technique (presented at DSE 2023) and is working on a Julia implementation.
It would be nice if HARK had a Python port of this method.
https://www.jldc.ch/publication/2023_deep-simulated-moments/ "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks" https://github.com/JLDC/DeepSimulatedMoments.jl