STATISTICS COLLOQUIUM
Yuping Zhang
Associate Professor
Department of Statistics
University of Connecticut
Statistical Learning and Inference for Biological Networks
Networks play important roles in elucidating biological systems and complex diseases. It is necessary to develop new methods for network learning and inference based on high-dimensional, heterogeneous and complex biological data generated by modern high-throughput biotechnologies. This talk will feature two new methodologies: 1) a statistical framework for joint learning of multiple heterogeneous exponential Markov Random Fields and its associated variational inference and theory, and 2) statistical inference of network disturbances leveraging topologies and multi-view biological data.
For more information, contact: Tracy Burke at tracy.burke@uconn.edu