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stat.ME2021
Efficient Bayesian model selection for coupled hidden Markov models with application to infectious diseases
Jake Carson, Trevelyan J. McKinley, Peter Neal +1
Performing model selection for coupled hidden Markov models (CHMMs) is highly challenging, owing to the large dimension of the hidden state process. Whilst in principle the hidden…
stat.ME2015★ 12 cited
Inferring network structure from interventional time-course experiments
Simon E. F. Spencer, Steven M. Hill, Sach Mukherjee
Graphical models are widely used to study biological networks. Interventions on network nodes are an important feature of many experimental designs for the study of biological netw…