Cluster-robust inference and estimation methods have emerged as indispensable tools in empirical research, enabling statisticians and economists to draw valid conclusions from data exhibiting ...

Robust control allows policymakers to formulate policies that guard against model misspecification. The principal tools used to solve robust control problems are state-space methods (see Hansen and ...

WASHINGTON — A new congressionally mandated report from the National Academies of Sciences, Engineering, and Medicine recommends that federal agencies, states, and school districts develop robust ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Ajinkya Pal (left), Sydney Reiber, Stephen Dempsey and Ciaran Lahive are part of a team of researchers from the BOTTLE consortium at NREL that is developing a robust method to break down composite ...

It has never been straightforward to probe the secrets of quantum systems. Quantum systems are powerful but extremely hard to ...