Articles by YoungStatS

Illustration of Graphical Gaussian Process models to analyze highly multivariate spatial data

July 6, 2023 | YoungStatS

Introduction Abundant multivariate spatial data from the natural and environmental sciences demands research on the joint distribution of multiple spatially dependent variables (Wackernagel (2013), Cressie and Wikle (2011), Banerjee and Gelfand (2014)). Here, our goal is to estimate associations over spatial locations for each variable and those among the variables. In this document, ...
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The scaling limit of Baxter permutations

July 1, 2023 | YoungStatS

Meanders, monotone meanders, and Baxter permutations Versions of the following question can be traced back at least to the work of Henri Poincaré (Poincaré (1912)): In how many ways a simple loop in the plane can cross a line a specified number of ...
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Recent advances in extreme value theory

April 3, 2023 | YoungStatS

Recent advances in extreme value theory Thursday, April 20th, 6:00 PT / 9:00 ET / 15:00 CET Extreme value theory is concerned with the accurate statistical assessment of the risk of rare events. Such extreme events have small occurrence probabiliti...
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Asymptotic Statistics in Non-Sparse Networks

February 25, 2023 | YoungStatS

Exchangeable arrays have been studied since the late 70’s (Aldous (1983), Kallenberg (2005)). Eagleson and Weber (1978) and Silverman (1976) establish Strong Law of Large Numbers and Central Limit Theorems for such arrays. Because non-sparse networks and multiway clustering are related to exchangeable arrays, they have received recent attention in statistics and econometrics (Davezies, ...
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Merry Christmas and Happy New Year 2023!

December 20, 2022 | YoungStatS

Dear Followers of the YoungStatS project, Dear All! It has been an exciting year for our project, including 7 One World YoungStatS webinars and blogposts from leading authors in different areas of statistics, probability and econometrics. In partic...
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Inference on Adaptively Collected Data

October 10, 2022 | YoungStatS

Abstract It is increasingly common for data to be collected adaptively, where experimental costs are reduced progressively by assigning promising treatments more frequently. However, adaptivity also poses great challenges on post-experiment inferen...
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Inference on Adaptively Collected Data

October 10, 2022 | YoungStatS

Abstract It is increasingly common for data to be collected adaptively, where experimental costs are reduced progressively by assigning promising treatments more frequently. However, adaptivity also poses great challenges on post-experiment inferen...
[Read more...]

Minimax Estimation and Identity Testing of Markov Chains

September 17, 2022 | YoungStatS

We briefly review the two classical problems of distribution estimation and identity testing (in the context of property testing), then propose to extend them to a Markovian setting. We will see that the sample complexity depends not only on the number of states, but also on the stationary and mixing ...
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