Data Analytics Research Seminar

Incoming seminars


Claire Boyer (LPSM, Sorbonne Université)

The direct implementation of physics-informed kernel estimators can be tedious, and practitioners often resort to physics-informed neural networks (PINNs) instead. We offer some food for thought and statistical insight into the proper use of PINNs.


Matteo Barigozzi (Università di Bologna)


Matteo Barigozzi and Luca Trapin


Davide La Vecchia (University of Geneva)


Céline Duval (Université de Lille)


Peter Radchenko (University of Sydney)


Gilles Stoltz (Université Paris-Saclay)


Past seminars 2023-2024

Sirio Legramanti (University of Bergamo)

Motivated by real-world data about subscriptions to the public transportation system of Bergamo (Italy) and its surroundings, we propose a method to incorporate properly transformed spatial covariates into a state-of-the-art stochastic block model, while inferring the weight of covariates. (Joint work with Valentina Ghidini and Raffaele Argiento)


Badr-Eddine Chérief-Abdellatif (LPSM, CNRS)


Nikolaus Schweizer (Tilburg University)


(Joint work with Anne Balter and Johannes M. Schumacher)

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4264811


Artem Prokhorov (University of Sidney)

https://doi.org/10.1016/j.jbankfin.2022.106735 


Gábor Lugosi (Universitat Pompeu Fabra)


Archive 2013-2023

2022-2023

Lu Yu (CREST-ENSAE)


Nicolas Schreuder (Genova University) 

- A minimax framework for quantifying risk-fairness trade-off in regression (with E. Chzhen), Ann. Statist. 50(4): 2416-2442(Aug.2022).

- Fair learning with Wasserstein barycenters for non-decomposable performance measures (with S. Gaucher and E. Chzhen), arXiv preprint arXiv:2209.00427.

Alfred Galichon (NYU)  

- https://arxiv.org/abs/2204.00362.

- http://humcap.uchicago.edu/RePEc/hka/wpaper/Chiappori_Fiorio_Galichon_etal_2022_assortative-matching-income.pdf.

Guillaume A. Pouliot (The University of Chicago)  

Dion Bongaert (RSM Erasmus University)  

Cesare Robotti (Warwick Business School)  

2021-2022






2018-2019

Prof. Taoufik Bouezmarni (Laval University)

Extended Lorenz curves for general random variables

Prof. Matei Demetrescu (Kiel University)

Nonlinear Predictability of Stock Returns? Parametric vs. non parametric inference in predictive regressions 

Prof. Arijit Chakrabarty (Indian Statistical Institute, Kolkata)

Spectra of Adjacency and Laplacian Matrices of inhomogeneous Erdös-Rényi Graphs

2017-2018 Program:

Organizers: Prof. Luc Bauwens, CORE - UCL, Fellow of the Institute of Advanced Studies UCP Université Paris-Seine, Guillaume Chevillon, ESSEC Business School, Prof. Jeroen Rombouts, ESSEC Business School


Prof. Xavier D’haultfoeuille (ENSAE - CREST)

Testing Rational Expectations Using Data Combination

Prof. Artem Prokhorov (University of Sydney)

On Semiparametric Estimation using Bernstein Copulas

2016-2017 Program: 

Prof. Aurore Delaigle (University of Melbourne)                                               

Analyzing Partially  Observed Functional Data

Prof. Valentina Corradi (University of Surrey)

Improved Tests for robust forecast comparison

Prof. Jean-David Fermanian (CREST)

The behavior of dealers and clients on the European corporate bond market: the case of Multi-dealer-to-client platforms

Prof. Bas Werker (Tilburg University)

Arbitrage Pricing Theory for Idiosyncratic Variance Factors

Prof. Karim ABADIR (Imperial College London)

Macro and financial markets: The memory of an elephant

Prof. Joerg Breitung (University of Cologne)

Multivariate tests for asset price bubbles

Internet of Things & Predictive Analytics                                                                

Reda Gomery (Deloitte), Marc Van Der Laan (AT&T), Thomas Watteyne (INRIA), Georges Uzbelger (IBM)

Prof. Juhyun Park, (Lancaster University)

Estimation of functional sparsity in nonparametric varying coefficient models

Yu-Wei Hsieh (University of Southern California)                                                                    

Seminar on the Econometrics of  Matching models                                                                           

2015-2016 Program

Prof. Christophe CROUX (Katholieke Universiteit Leuven)
Sparse Cointegration
Prof. Nikolay GOSPODINOV (Federal Reserve Bank of Atlanta)
Spurious Inference in Reduced-Rank Asset-Pricing Models
Prof. Otilia BOLDEA (Tilburg University)

Break-point Estimation in Panel data with fixed effects 

Prof. Cristina DAVINO (Università de Macerata, Italy) -Quantile Regression an overview of properties and applications

2014-15 Program

SUBPAGES (1): 2013-14 PROGRAM OF ECONOMETRICS & STATISTICS SEMINARS