Articles by YoungStatS

Universal estimation with Maximum Mean Discrepancy (MMD)

January 12, 2022 | YoungStatS

This is an updated version of a blog post on RIKEN AIP Approximate Bayesian Inference team webpage: https://team-approx-bayes.github.io/blog/mmd/ INTRODUCTION A very old and yet very exciting problem in statistics is the definition of a universal estimator \(\hat{\theta}\). An estimation procedure that would work all ...
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Inclusion Process and Sticky Brownian Motions

December 23, 2021 | YoungStatS

Inclusion Process and Sticky Brownian Motions The ninth “One World webinar” organized by YoungStatS will take place on February 9th, 2022. Inclusion process (IP) is a stochastic lattice gas where particles perform random walks subjected to mutual ...
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Frozen percolation on the binary tree is nonendogenous

November 24, 2021 | YoungStatS

In frozen percolation on a graph, there is a barrier located on each edge. Initially, the barriers are closed and they are assigned i.i.d. uniformly distributed activation times. At its activation time, a barrier opens, provided it is not frozen. At a fixed set \(\Xi\) of freezing times, ...
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Optimal disclosure risk assessment

September 29, 2021 | YoungStatS

Disclosure risk for microdata 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 ...
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Advancements in Symbolic Data Analysis

September 29, 2021 | YoungStatS

Advancements in Symbolic Data Analysis The sixth “One World webinar” organized by YoungStatS will take place on October 27th, 2021. With the development of digital systems, very large datasets have become routine. However, standard statistical app...
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Depth Quantile Functions

June 30, 2021 | YoungStatS

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 ...
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Optional stopping with Bayes factors: possibilities and limitations

June 9, 2021 | YoungStatS

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 assumptions is that the experimental protocol should ...
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Optional stopping with Bayes factors: possibilities and limitations

June 8, 2021 | YoungStatS

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 assumptions is that the experimental protocol should ...
[Read more...]

Recent Advances in Functional Data Analysis

April 28, 2021 | YoungStatS

The fourth “One World webinar” organized by YoungStatS will take place on June 20th, 2021. The topic of this webinar is on Functional Data Analysis. Selected young European researchers active in this area of research will present their cont... [Read more...]
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