3 papers
stat.ML2020
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions
Lili Zheng, Garvesh Raskutti, Rebecca Willett +1
High-dimensional autoregressive point processes model how current events trigger or inhibit future events, such as activity by one member of a social network can affect the future…
stat.ML2018
Estimating Network Structure from Incomplete Event Data
Benjamin Mark, Garvesh Raskutti, Rebecca Willett
Multivariate Bernoulli autoregressive (BAR) processes model time series of events in which the likelihood of current events is determined by the times and locations of past events.…
stat.ML2018
Network Estimation from Point Process Data
Benjamin Mark, Garvesh Raskutti, Rebecca Willett
Consider observing a collection of discrete events within a network that reflect how network nodes influence one another. Such data are common in spike trains recorded from biologi…