2 citations · 2 across the 2 of their papers we have counts for
3 papers
math.ST2026
On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
Chao Gao, Christopher Harshaw, Fredrik Sävje +1
Researchers use interference models based on exposure mappings to facilitate estimation of causal effects in randomized experiments with interference. To test the veracity of such…
econ.EM2026
Coupling Designs for Randomized Experiments with Complex Treatments
Max Cytrynbaum, Fredrik Sävje
We describe a new family of experimental designs that extends the principle of stratified randomization to settings with continuous, constrained multivariate, and other irregular t…
stat.ME2021★ 2 cited
Randomization does not imply unconfoundedness
Fredrik Sävje
A common assumption in causal inference is that random treatment assignment ensures that potential outcomes are independent of treatment, or in one word, unconfoundedness. This pap…