We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
We study the mixing time of some Markov Chains converging to critical physical models. These models are indexed by a parameter β and there exists some critical value βc where th...
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Probabilistic Computation Tree Logic (PCTL) is a wellknown modal logic which has become a standard for expressing temporal properties of finite-state Markov chains in the context...
Federico Ramponi, Debasish Chatterjee, Sean Summer...
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
This tutorial was held within the Maths Club at the University of Leeds
Topics covered (briefly):
Monte Carlo Integration
Markov Chain
Markov Chain Monte Carlo Sampling
Metrop...