STATSCALE PREVIOUS SEMINARS
Talks 2023
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10th March - Marvin Borsch (University of Cologne)
Title: Consistent Estimation of Multiple Breakpoints in Dependence Measures
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24th February 2023 - Haotian Xu (Pennsylvania State University)
Title: Online network change point detection with missing values
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10th February 2023 - Zifeng Zhao (University of Notre Dame)
Title: High-Dimensional Dynamic Pricing under Non-Stationarity: Learning and Earning with Change-Point Detection
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27th January 2023 - Shubhadeep Chakraborty (University of Washington / Bristol Myers Squibb)
Title: High-dimensional change-point detection using generalized homogeneity metrics
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Talks 2022
2nd December 2022 - Euan McGonigle (University of Bristol)
Title: Nonparametric Change Point Detection for Multivariate Time Series
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18th November 2022 - Xianyang Zhang (Texas A&M University)
Title: Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis
4th November 2022 - Chao Gao (University of Chicago)
Title: Detection and Recovery of Sparse Signal Under Correlation
21st October 2022 - Alessia Caponera (École Polytechnique Fédérale de Lausanne)
Title: Statistical inference for time-varying functional autoregressive processes on the sphere
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10th June 2022 - Renate Meyer (University of Auckland)
Title: Bayesian Spectral Analysis with Applications to Gravitational Wave Astronomy
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27th May 2022 - Ichiro Takeuchi (Nagoya University)
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13th May 2022 - Philipp Klein (Otto von Guericke University Magdeburg)
Title: Anomaly detection based on MOSUM statistics in large image data
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22nd April 2022- Daren Wang (Notre Dame)
Optimal High-dimensional Change Point Testing in Regression Settings
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18th March 2022 - Lan Luo (University of Iowa)
Real-Time Regression Analysis with Streaming Health Datasets
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4th March 2022 - Bouchra Nasri (University of Montreal)
Change-Point Problems For Multivariate Time Series Using Pseudo-Observations
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25th February 2022 - Yajun Mei (Georgia Tech)
Bandit multi-stream sequential change-point detection
4th February 2022 - Karl Hallgren (Imperial College London)
Bayesian changepoint models motivated by cyber security applications
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21st January 2022 - Jacob Bien (University of Southern California)
Mixture of Multivariate Regressions Modeling for Oceanographic Flow Cytometry Data
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Talks 2021
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3 December 2021 - Housen Li (University of Göttingen)
Distributional limits of graph cuts on discretized samples
19 November 2021 - Guo Yu (University of California, Santa Barbara)
Reluctant interaction modeling in generalized linear models
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5 November 2021- Francesco Sanna Passino (Imperial College London)
Mutually exciting point process graphs for modelling dynamic networks
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22 October 2021- Ichiro Takeuchi (Nagoya Institute of Technology)
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2 July 2021 - Kevin Lin (University of Pennsylvania)
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18 June 2021 - Runmin Wang (Southern Methodist University)
Dating the Break in High Dimensional Data
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4 June 2021 - Abolfazl Safikhani (University of Florida)
Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models
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21th May 2021 - Hao Ni (University College London)
Sig-Wasserstein Generative models to generate realistic synthetic time series
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7th May 2021 - Lynna Chu (Iowa State University)
Sequential Change-point Detection for High-Dimensional and non-Euclidean Data
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26th March 2021 - Hao Chen (UC Davis)
A universal event detection framework for neuropixels data
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12th March 2021 - Sumanta Basu (Cornell University)
Learning Financial Networks with Graphical Models of Time Series Data
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26th February 2021 - Eric Kolaczyk (Boston University)
How hard is it to work with a network `average'?
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12th February 2021 - Matteo Barigozzi (Università di Bologna)
Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm
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29th January 2021 - Holger Dette (Ruhr-Universitaet Bochum)
Testing Relevant Hypotheses in Functional Time Series via Self-Normalization
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Talks 2020
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4th December 2020 - Priyanga Dilini Talagala (University of Moratuwa)
Anomaly Detection in Streaming Time Series Data
20th November 2020 - Florian Pein (University of Cambridge)
About the loss function for cross-validation in change-point regression
6th November 2020 - Alex Aue (UC Davis)
Random matrix theory aids statistical inference in high dimensions
23rd October 2020 - Yoav Zemel (University of Cambridge)
Probabilistic approximations to optimal transport
9th October 2020 - Solt Kovacs (ETH Zurich)
17th July 2020 - Tobias Kley (University of Bristol)
A new approach for open-end sequential change point monitoring
3rd July, 2020 - Claudia Kirch (Otto-von-Guericke University)
Functional change point detection for fMRI data
19th June, 2020 - Martin Tveten (Dept. of Mathematics, University of Oslo)
Scalable changepoint and anomaly detection in cross-correlated data
5th June, 2020 - Yudong Chen (University of Cambridge)
High-dimensional, multiscale online changepoint detection
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