2 citations · 5 across the 4 of their papers we have counts for
4 papers
Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing
Daniel Tang
Many countries are currently gearing up to use smart-phone apps to perform contact tracing as part of the effort to manage the COVID-19 pandemic and prevent resurgences of the dise…
Finding the maximum-a-posteriori behaviour of agents in an agent-based model
Daniel Tang
In this paper we consider the problem of finding the most probable set of events that could have led to a set of partial, noisy observations of some dynamical system. In particular…
Data assimilation in Agent-based models using creation and annihilation operators
Daniel Tang
Agent-based models are a powerful tool for studying the behaviour of complex systems that can be described in terms of multiple, interacting ``agents''. However, because of their i…
Efficient algorithms for modifying and sampling from a categorical distribution
Daniel Tang
Probabilistic programming languages and other machine learning applications often require samples to be generated from a categorical distribution where the probability of each one…