StatScale Workshop Outline 2021
Thursday 22nd April
0930 - 1015 Piotr Fryzlewicz (LSE)
Title: Narrowest Significance Pursuit: inference for multiple change-points in linear models
1015 - 1045 Oliver Feng (University of Cambridge)
Title: Nonparametric, tuning-free estimation of S-shaped functions
1045 - 1115 BREAK
1115 - 1145 Hyeyoung Maeng (Lancaster University)
Title: Collective anomaly detection in High-dimensional VAR Models
1145 - 1215 Ilmun Kim (University of Cambridge)
Title: Minimax optimality of permutation tests
1215 - 1400 LUNCH
1400 - 1445 Yi Yu (University of Warwick)
Title: Localising change points in general graphs
1445 - 1515 Chao Zheng (University of Southampton)
Title: Nonparametric changepoint estimation for high-dimensional data
1515 - 1545 BREAK
1545 - 1615 Florian Pein (University of Cambridge)
Title: Robust change-point regression
1615 - 1700 Ines Wilms (University of Maastricht)
Title: Tree-based Node Aggregation in Sparse Graphical Models
Friday 23rd April
0900 – 0930 Tom Berrett (University of Warwick)
Title: Online nonparametric changepoint detection under local privacy constraints
0930 – 1000 Gaetano Romano (Lancaster University) and Kim Ward (Lancaster University)
Title: FOCuS: a CUSUM statistics for fast online changepoint detection
1000 - 1030 Yoav Zemel (University of Cambridge)
Title: On estimation of log concave densities in Wasserstein distance
1030 - 1100 BREAK
1100 - 1130 Martin Tveten (University of Oslo)
Title: Scalable changepoint and anomaly detection in cross-correlated data
1130 – 1215 Nicolas Verzelen (INRAE)
Title: Optimal univariate change-point detection and Localization
1215 Workshop Close