Cookbook - Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 4

This course teaches learners about lower bounds for statistical inference in distributed and constrained settings. The course covers topics such as simulation and inference, discrete inference, non-interactive inference, domain compression, and provides a discrete distribution example. The teaching method involves theoretical explanations and practical examples. This course is intended for individuals interested in advanced statistical inference techniques in distributed and constrained settings.