Michigan State Symposium on mathematical statistics and applications: from time series and stochastics, to semi-and non-parametrics, and to high-dimensional models
The 2018 Michigan State Symposium on mathematical statistics and applications will be held at MSU from Sep 14-16, 2018. It is a conference designed around the scientific legacy of Prof. Hira L. Koul, who was a member of MSU’s department of statistics and probability for decades. The scientific areas which will be represented at the conference are all connected, often quite directly, to the work which Prof. Koul has produced. Topics covered will include : Semi- and non-parametric foundations of data science; Asymptotic theory of efficient and adaptive estimation; Inference for high-dimensional data; Inference for long-memory and other stochastic processes; Nonlinear Time Series analysis with applications to econometrics and finance; Robust multivariate methods; Survival analysis and its applications; and Sequential estimation and design. With ample time built into the schedule for discussions, the conference will give participants opportunities to engage in emerging and fruitful cross-group collaborations. It will bring together established and aspiring researchers from around the country and abroad, to explore frontiers of mathematical statistics.