Describe the abstract idea of a sampling distribution and how it reflects the sample to sample variability of a sample statistic or point estimate. Identify the ...
This repository contains a prototype implementation of the optimal sampling algorithms from: Feras A. Saad, Cameron E. Freer, Martin C. Rinard, and Vikash K. Mansinghka. Optimal Approximate Sampling ...
Note: Please see Projectile Data Lab's ../projectile-data-lab/doc/model.md for a detailed explanation of the physical and statistical models shared between the two ...
The Annals of Applied Probability, Vol. 9, No. 4 (Nov., 1999), pp. 1202-1225 (24 pages) This paper analyzes the performance of importance sampling distributions for computing expectations with respect ...
Abstract: We present a new SMT-based, probabilistic, syntax-guided method to discover numerical inductive invariants. The core idea is to initialize frequency distributions from the program's source ...
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