2018
Particle Filtering and Inference for Limit Order Books in High Frequency Finance
ICASSP 2018accepted
This paper investigates the on-line analysis of high-frequency financial order book data using Bayesian modelling techniques. Order book data involves evolving queues of orders at different prices, and here we propose that the order book shape is proportional to a gamma or inverse-gamma density func…