“Efficient prediction markets for continuous variables are possible using interval securities and a binary tree decomposition of the LMSR”
Designs the first computationally efficient prediction market for continuous outcome distributions using interval securities. Achieves logarithmic-time operations by decomposing the LMSR into a balanced binary tree, and extends to parallel submarkets at multiple resolutions with constant bounded loss.
Extensive technical background assumed