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05/07/2021
Stein's Method Meets Statistics: A Review of Some Recent Developments
Stein's method is a collection of tools for analysing distributional com...
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10/14/2020
Optimal quantisation of probability measures using maximum mean discrepancy
Several researchers have proposed minimisation of maximum mean discrepan...
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07/06/2020
Stochastic Stein Discrepancies
Stein discrepancies (SDs) monitor convergence and non-convergence in app...
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05/09/2019
Stein Point Markov Chain Monte Carlo
An important task in machine learning and statistics is the approximatio...
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03/27/2018
Stein Points
An important task in computational statistics and machine learning is to...
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03/06/2017
Measuring Sample Quality with Kernels
Approximate Markov chain Monte Carlo (MCMC) offers the promise of more r...
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11/21/2016
Measuring Sample Quality with Diffusions
Standard Markov chain Monte Carlo diagnostics, like effective sample siz...
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06/09/2015
