Truncated Linear Regression

In traditional linear regression, we try to recover a hidden model parameter $\overrightarrow{w}\ast$ with samples $(\overrightarrow{x},y)$ of the form $y={\overrightarrow{w}}^{\ast T}\overrightarrow{x}+ϵ$, where $ϵ$ is sampled from some noise distribution.