Social Network Analysis

Efficiency Assessment of Approximated Spatial Predictions for Large Datasets

Yiping Hong, Postdoctoral Research Fellow, Statistics

Oct 22, 12:00 - 13:00

KAUST

mathematics applied statistics Social Network Analysis

Our suggested criteria are more useful for the determination of tuning parameters for sophisticated approximation methods of spatial model fitting. To illustrate this, we investigate the trade-off between the execution time, estimation accuracy, and prediction efficiency for the TLR method with intensive simulation studies and suggest proper settings of the TLR tuning parameters.

Critical Phenomena in Financial Markets and Social Networks

Prof. Christof Schmidhuber, ZHAW School of Engineering

Feb 27, 16:00 - 17:00

B9 L2 R2322

Financial Market Social Network Analysis Critical Phenomena Arbitrageurs

Analogies between financial markets and critical phenomena have long been observed empirically. So far, no convincing theory has emerged that can explain these empirical observations. Here, we take a step towards such a theory by modeling financial markets as a lattice gas.