1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2019★ 1 cited
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Rui Meng, Braden Soper, Herbert Lee +3
We propose multivariate nonstationary Gaussian processes for jointly modeling multiple clinical variables, where the key parameters, length-scales, standard deviations and the corr…
stat.ME2019★ 1 cited
Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling
Rui Meng, Soper Braden, Jan Nygard +2
Hidden Markov jump processes are an attractive approach for modeling clinical disease progression data because they are explainable and capable of handling both irregularly sampled…