791 citations · 2.5k across the 58 of their papers we have counts for
4 papers · 2 filters
SLANTS: Sequential Adaptive Nonlinear Modeling of Vector Time Series
Qiuyi Han, Jie Ding, Edoardo Airoldi +1
We propose a method for adaptive nonlinear sequential modeling of vector-time series data. Data is modeled as a nonlinear function of past values corrupted by noise, and the underl…
Identification and estimation of treatment and interference effects in observational studies on networks
Laura Forastiere, Edoardo M. Airoldi, Fabrizia Mealli
Causal inference on a population of units connected through a network often presents technical challenges, including how to account for interference. In the presence of local inter…
Non-standard conditionally specified models for non-ignorable missing data
Alexander M Franks, Edoardo M Airoldi, Donald B Rubin
Data analyses typically rely upon assumptions about missingness mechanisms that lead to observed versus missing data. When the data are missing not at random, direct assumptions ab…
Observational studies with unknown time of treatment
Guillaume W. Basse, Alexander Volfovsky, Edoardo M. Airoldi
Time plays a fundamental role in causal analyses, where the goal is to quantify the effect of a specific treatment on future outcomes. In a randomized experiment, times of treatmen…