Here are the slides I edited this week [from previous talks by Pierre and Epstein] for the INI Workshop on scalable inference, in connection with our recently completed and submitted paper on ABC with Wasserstein distances:
This entry was posted on July 7, 2017 at 12:44 pm and is filed under Statistics with tags ABC algorithm, dynamic model, empirical likelihood, INI, Isaac Newton Institute, non-i.i.d. data, summary statistics, Wasserstein distance. You can follow any responses to this entry through the RSS 2.0 feed.
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