1. Nodelman, U., Shelton, C.R., Koller, D.: Learning continuous time Bayesian networks. In: Uncertainty in Artificial Intelligence (2003)
2. Gunawardana, A., Meek, C., Xu, P.: A model for temporal dependencies in event streams. In: Advances in Neural Information Processing Systems (2011)
3. Weiss, J., Natarajan, S., Page, D.: Multiplicative forests for continuous-time processes. In: Advances in Neural Information Processing Systems 25, pp. 467–475 (2012)
4. Brown, E.N., Kass, R.E., Mitra, P.P.: Multiple neural spike train data analysis: state-of-the-art and future challenges. Nature Neuroscience 7(5), 456–461 (2004)
5. Engle, R.: The econometrics of ultra-high-frequency data. Econometrica 68(1), 1–22 (2000)