Botond Szabo
@botondszabo6
Professor of Statistics at Bocconi University
ID: 1393999074999820293
16-05-2021 18:37:40
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The skewed Bernstein-von Mises theorem is online arxiv.org/abs/2301.03038. With Francesco Pozza and Botond Szabo we derive a new limiting law given by tractable generalized skew-normals that remarkably improves the convergence rate (and practical accuracy) of the classical BvM result!
🚨1 PhD position in high-dimensional #causal inference with @stephanievdpas Amsterdam UMC as part of her European Research Council (ERC) Starting Grant🚨 We will try to combine reliable causal discovery and effect estimation in high-dimensional settings. Deadline: April 2 werkenbij.amsterdamumc.org/en/vacatures/r…
***PLEASE SHARE*** I am looking for a PhD student to work on machine learning theory at UPF Barcelona Deadline: May 26 More info: cs.bme.hu/~gergo/jobs.ht…
Understanding and combating criminal networks - Daniele Durante has secured European Research Council (ERC) funding to develop cutting-edge statistical models & methods for studying their mechanisms & dynamics #KnowledgeThatMatters #ERCStG knowledge.unibocconi.eu/notizia.php?id…
🤩 Congratulations to my former PhD student Francesco Pozza who received the Laplace award 🏆 at #JSM2024, for the article "skewed Bernstein-von Mises theorem and skew-modal approximations" (arxiv.org/abs/2301.03038) (recently accepted for publication in the Annals of Statistics ‼️)
Paper: Skewed Bernstein-Von Mises Theorem and Skew-Modal Approximations Accepted in Annals of Statistics Authors: Daniele Durante Francesco Pozza Botond Szabo
😎 For any, already-derived, symmetric approximation of a generic posterior distribution, we provide, at no additional optimization costs, a similarly-tractable, yet provably more accurate, skew-symmetric approximation! (arxiv.org/abs/2409.14167) (with Francesco Pozza and Botond Szabo)