April 24, 2014 Dr. Mohsen Pourahmadi Professor Department of Statistics, Texas A&M University Title: Thresholded Generalized Principal Component Regression: Forecasting with Many Predictors Abstract: Multiple time series, panel data and many other modern data matrices have dependence in their rows and columns, and the classical principal component analysis for low-rank approximation of such data matrices does not […]
April 15, 2014 Dr. Mikyoung Jun Professor of Statistics, Texas A&M Title: A class of Matern-like covariance functions for smooth processes on a sphere Abstract: There have been noticeable advancements in developing parametric covariance models for spatial and spatio-temporal data with various applications to environmental problems. However, literature on covariance models for processes […]
April 22, 2014 Dr. Maria-Pia Victoria-Feser Professor of Statistics, University of Geneva Title: A Prediction Divergence Criterion for Model Selection Abstract: The problem of model selection is a crucial part of any statistical analysis. In fact, model selection methods become inevitable in an increasingly large number of applications involving partial theoretical knowledge and […]
April 8, 2014 Anirban Bhattacharya Assistant Professor of Statistics, Texas A&M University Title: Tensor decompositions and sparse log-linear models. Abstract: Contingency table analysis routinely relies on log linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a low rank tensor factorization of the probability mass function for multivariate categorical […]
April 1, 2014 Dr. Ramalingam Saravanan Professor of Atmospheric Science, Texas A&M University Title: Modeling and Predicting Atlantic Hurricane Activity Abstract: Hurricane activity in the Atlantic region exhibits variability on a range of timescales. Both statistical and fluid dynamical models are used to make seasonal predictions of hurricane activity. The talk will discuss the major […]