webinars

Advances in Difference-in-Differences in Econometrics

2021-09-30

Advances in Difference-in-Differences in Econometrics The eighth “One World webinar” organized by YoungStatS will take place on December 15th, 2021. The difference-in-differences design is a quasi-experimental identification strategy for estimating causal effects which has become the single most…

nonparametric-statistics

Optimal disclosure risk assessment

Federico Camerlenghi, Stefano Favaro, Zacharie Naulet and Francesca Panero / 2021-09-30

Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Consider a microdata sample \({X}_n=(X_{1},\ldots,X_{n})\) of size \(n\) from a finite population of size \(\bar{n}=n+\lambda n\), with \(\lambda>0\), such that each sample…

high-dimensional-data

Depth Quantile Functions

Gabriel Chandler and Wolfgang Polonik / 2021-07-01

Figure 1: Depth quantile functions for the wine data (d=13), class 2 vs class 3. Blue curves correspond to between class comparisons, red/pink correspond to within class comparisons. A common technique in modern statistics is the so-called kernel trick, where data is mapped into a (usually)…

webinars

Concentration Inequalities in Machine Learning

2021-06-30

The fifth “One World webinar” organized by YoungStatS will take place on September 15th, 2021. Selected young European researchers active in the areas of probability and machine learning will present their recent contributions. The webinar is joint cooperation between the Young Researchers Committee…

bayesian-statistics

Optional stopping with Bayes factors: possibilities and limitations

Rianne de Heide / 2021-06-10

In recent years, a surprising number of scientific results have failed to hold up to continued scrutiny. Part of this ‘replicability crisis’ may be caused by practices that ignore the assumptions of traditional (frequentist) statistical methods (John, Loewenstein, and Prelec 2012). One of these…

spatiotemporal-data

Spatiotemporal modeling and real-time prediction of origin-destination traffic demand

Xiaochen Xian, Honghan Ye, Xin Wang and Kaibo Liu / 2021-06-09

Introduction In the past decades, intelligent transportation system (ITS) has brought advanced technology that enables a data-rich environment and unprecedented opportunities for traffic prediction, which is considered as one of the most prevalent issues facing ITS (Li et al., 2015). We discuss the…