Stein's method and its statistical application

This workshop will bring together leading international experts and early-career researchers working on Stein’s method and its diverse statistical applications. The event aims to foster scientific exchange across institutions, strengthening collaborations within the global probability, statistics, and machine-learning communities.

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The workshop will highlight recent advances in Stein’s method, with particular attention to its interdisciplinary impact in areas such as high-dimensional statistics, Bayesian inference, stochastic processes, and computational methods. By creating a forum that bridges probability, statistics and computational methods, the event will promote cross-disciplinary dialogue and encourage new research directions.

Invited speakers :

Andreas Anastasiou (University of Cyprus)

Alessandro Barp (University College London)

Victor Emmanuel Brunel (ENSAE)

Max Fathi (Université Paris Cité)

Robert Gaunt (University of Manchester)

Gilles Germain (University of Oxford)

Anna Korba (ENSAE)

Chris Oates (University of Newcastle)

Peter Orbanz (University College London)

Giovanni Peccati (University of Luxembourg)

Gesine Reinert (University Oxford)

Jordan Serres (Sorbonne)

Leoni Wirth (University of Oxford)

George Wynne (Alan Turing Institute)

Gengyu Xue (Warwick)

Yi Yu (Warwick)

Refund Policy: Please note that registration fees are non-refundable once paid.
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