Seminar series in High Dimensional and Functional Data
Objectives
The main objective is to have an informal platform for interaction, discussion and learning about high dimensional and functional data, where we can go beyond a formal seminar series.
The group’s activities revolve around the interaction and discussion of day-to-day work of the group members; work in progress presentations; discussion and presentation of open research questions and ideas; and it operates as a reading group as well.
Previous meetings
15th May, 2023. Hypothesis testing on high-dimensional spheres, Davy Paindaveine, ECARES & Department of Mathematics, Université Libre de Bruxelles.
27th March, 2023. “High Dimensional Generalised Penalised Least Squares“, Katerina Chrysikou, King’s Business School, King’s College London.
23rd February, 2023. “A bipartite ranking approach to the two-sample problem“, Myrto Limnios, Copenhagen Causality Lab of the University of Copenhagen.
16th January, 2023. “Simultaneous Confidence Bands and Fair Causal Inference for Functional Data”, Dominik Liebl & Tim Mensinger, University of Bonn.
5th December, 2022. “Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics”, Sonja Greven, Humboldt-Universität zu Berlin.
21st November, 2022. “Debiased inference on heterogeneous quantile treatment effects with regression rank-scores”, Alexander Giessing, University of Washington.
7th November, 2022. “Learning Gaussian representations for graphs and documents in a multi-objective context”, Antoine Gourru, University of Saint-Étienne.
24th October, 2022. “Flexible nonparametric Bayesian density regression via dependent Dirichlet process mixture models and penalised splines”, Vanda Inacio, University of Edinburgh.
3th October, 2022. “Physics-informed spatial and functional data over non-Euclidean domains”, Laura Sangalli, Politecnico Di Mulano.
18th July, 2022. “Dimension reduction for data with heterogeneous missingness”, Karla Ramirez Palacios, University of Edinburgh.
4th July, 2022 “Dimension reduction for data with heterogeneous missingness”, Yurong Ling, UCL.
6th June, 2022. “Selecting the number of factors for Multivariate Time Seriesa”, ANGELA Caro, UC3M.
6th June, 2022. “A unified framework for Joint Sparse Clustering and Alignment of Functional data”, Valeria Vitelli, University of Oslo.
23rd May, 2022. “HD(F?)D from NIR spectroscopy”, Tom Fearn, UCL.
9th May, 2022. “Wasserstein Principal Component Analysis for probability measures”, Mario Beraha, Università di Torino.
11th April, 2022. “Bayesian modeling and visualization of functional data”, Emmanuel Bernieri, University of Edinburgh
11th April, 2022. “Multilevel Bayesian Quadrature”, Kaiyu Li, UCL
28th March, 2022. “Bayesian Vector Autoregressive Model via Tensor Decomposition”, Yiyong Luo, UCL
14th March, 2022. “Causal Discovery Under a Confounder Blanket”, David Watson, Kings College London
21st February, 2022. “Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation”, Ioanna Manolopoulou, UCL
16th February, 2022. “PAC-Bayesian Computation: Learning and certification strategies for randomised classification algorithms”, Omar Rivasplata, UCL