statistical inference

Time Series Clustering: Pattern Recognition, Forecasting, and Amortized Inference

Ángel López Oriona, Postdoctoral Research Fellow, Statistics

May 14, 12:00 - 13:00

B9 R2325

Time Series Pattern Recognition forecasting statistical inference

This talk presents innovative time series clustering techniques, highlighting a quantile-based approach for analyzing locally stationary data, a predictive framework for enhanced forecasting, and the use of amortized inference to overcome traditional algorithmic limitations.

Fully Decentralized Inference for Spatial Data Using Low-Rank Models

Jianwei Shi, Postdoctoral Research Fellow, Statistics

May 7, 12:00 - 13:00

B9 R2325

statistical inference decentralized systems Geospatial Data geospatial statistics optimization

This talk introduces a novel, fully decentralized optimization framework to enable scalable parameter inference in large spatial low-rank models, supported by both theoretical guarantees and empirical validation.