A Major Advance in Parallel Statistical Computing
A Major Advance in Parallel Statistical Computing
A new algorithm developed by Giacomo Zanella and Sebastiano Grazzi of Bocconi’s Department of Decision Sciences and BIDSA research center can make complex statistical simulations up to 100 times faster.
Published in Biometrika, their research introduces an innovative method for using parallel computing more efficiently, with important applications ranging from artificial intelligence and epidemiology to precision medicine.
The Department of Decision Sciences warmly congratulates Giacomo and Sebastiano on this outstanding achievement!