• Contact Info
Publications in VIVO
 

Corcoran, Jem Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Corcoran's research is focused on fast accurate Markov chain Monte Carlo (MCMC) algorithms with applications to problems in high-dimensional Bayesian network inference, target tracking, statistical mechanics, high-energy physics, and rarefied gas dynamics. Most recently, she has been involved in real time detection of rapid changes in synchronous flocking behavior and the development of perfect simulation algorithms for finding equilibriums in chemical kinetic networks.

keywords

  • Monte Carlo algorithms, Multi-Target Tracking, Recovering Bayesian Networks from Data and from Discretized Data, Particle Filtering , Direct Simulation Monte Carlo for Rarefied Gas Dynamics

Publications

selected publications

Teaching

courses taught

  • APPM 4560 Markov Processes, Queues, and Monte Carlo Simulations (Spring 2019)
  • APPM 5560 Markov Processes, Queues, and Monte Carlo Simulations (Spring 2019)
  • APPM 6950 Master's Thesis (Spring 2019)
  • APPM 7900 Independent Study (Spring 2019)
  • APPM 8990 Doctoral Dissertation (Spring 2019)
  • APPM 5720 Open Topics in Applied Mathematics (Fall 2018)
  • APPM 6950 Master's Thesis (Fall 2018)
  • APPM 7400 Topics in Applied Mathematics (Fall 2018)
  • APPM 8990 Doctoral Dissertation (Fall 2018)
  • APPM 8990 Doctoral Dissertation (Summer 2018)
  • APPM 4720 Open Topics in Applied Mathematics (Spring 2018)
  • APPM 5720 Open Topics in Applied Mathematics (Spring 2018)
  • APPM 6950 Master's Thesis (Spring 2018)
  • APPM 7900 Independent Study (Spring 2018)
  • APPM 8990 Doctoral Dissertation (Spring 2018)

Background

Other Profiles