Robust inference in time series analysis is concerned with developing statistical methods that remain valid under departures from standard model assumptions, such as the presence of heteroskedasticity ...

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 ...

The Annals of Applied Statistics, Vol. 11, No. 4 (December 2017), pp. 2027-2051 (25 pages) Linear mixed models (LMMs) are among the most commonly used tools for genetic association studies. However, ...