3 papers
stat.ME2026
Dynamic causal inference with time series data
Tanique Schaffe-Odeleye, KÅsaku Takanashi, Vishesh Karwa +2
We generalize the potential outcome framework to time series with an intervention by defining causal effects on stochastic processes. Interventions in dynamic systems alter not onl…
math.ST2025
On the admissibility of Horvitz-Thompson estimator for estimating causal effects under network interference
Vishesh Karwa, Edoardo M. Airoldi
The Horvitz-Thompson (H-T) estimator is widely used for estimating network causal effects. We study its optimality properties by embedding it in the class of all linear estimators.…
stat.ME2025
Non-asymptotic goodness-of-fit tests and model selection in valued stochastic blockmodels
Félix Almendra-Hernández, Miles Bakenhus, Vishesh Karwa +2
A valued stochastic blockmodel (SBM) is a general way to view networked data in which nodes are grouped into blocks and links between them are measured by counts or labels. This fa…