Real-world network datasets often contain a wealth of complex topological information. In the face of these data, researchers often employ methods to extract reduced networks containing the most important structures or pathways, sometimes known as ‘skeletons’ or ‘backbones’. Numerous such methods have been developed. Yet data are often noisy or incomplete, with unknown numbers of missing or spu...

The measurement of blood pressure in the physician's office is subject to a number of observer errors and also to the "white-coat effect." Automatic devices that measure blood pressure without a human observer in the room can eliminate many of these problems. We argue for greater use of these devices in the physician's office.

This paper draws parallels between the principal components analysis of factorless high‐dimensional nonstationary data and classical spurious regression. We show that a few such absorb nearly all variation. The corresponding scree plot suggests contain factors, which is corroborated by standard panel information criteria. Furthermore, Dickey–Fuller tests unit root hypothesis applied to estimate...