This information is accurate as of the fellowship year indicated for each fellow.
Nanny Wermuth's research centers on statistical methods used to describe structures among many variables and developmental processes—particularly but not exclusively processes in the social and life sciences. Important features of her work include the concentration on models that have simplified representation via graphs, the study of the properties of alternative model classes, and the derivation of implications of contemplated data-generating processes.
During her fellowship year, Wermuth will concentrate on studying models that may contain joint responses and joint intermediate variables. Beforehand, results for the simpler, fully triangular systems will be set out and proven in a new way. This will permit the design of simple algorithms to derive important implications of a given process, no matter which type of variables and which type of distributions of variables are involved.
Wermuth received her Diplom-Volkswirtin in economics from the University of Munich, her PhD in statistics from Harvard University, and a Habilitation as professor in medical statistics from the University of Mainz. Jointly with Sir David Cox of Oxford University, she received a Max-Planck research prize for internationally outstanding research in 1992 and published the book Multivariate Dependencies (Chapman and Hall, 1996). She has been elected a fellow of the International Statistical Institute, the American Statistical Society, and the Institute of Mathematical Statistics.