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math.ST2022★ 2 cited
Shuffled total least squares
Qian Wang, Daniel Sussman
Linear regression with shuffled labels and with a noisy latent design matrix arises in many correspondence recovery problems. We propose a total least-squares approach to the probl…
stat.ME2022
Unbiased estimation for additive exposure models
Kelly Kung, Daniel L. Sussman
Causal inference methods have been applied in various fields where researchers want to estimate treatment effects. In traditional causal inference settings, one assumes that the ou…