Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

Blair Bilodeaua Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada

https://orcid.org/0000-0002-3933-1427 View further author information

Alex Stringerb Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada

https://orcid.org/0000-0002-4133-6884 View further author information

Yanbo Tangc Department of Mathematics, Imperial College London, London, UKCorrespondence[email protected]

https://orcid.org/0000-0002-6228-7049 View further author information

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Ziang Zhang, Alex Stringer, Patrick Brown & Jamie Stafford. (2023) Model-Based Smoothing with Integrated Wiener Processes and Overlapping Splines. Journal of Computational and Graphical Statistics 0:0, pages 1-13.
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Glen McGee & Alex Stringer. (2023) Marginal additive models for population‐averaged inference in longitudinal and cluster‐correlated data. Scandinavian Journal of Statistics 51:1, pages 384-401.
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Blair Bilodeau, Yanbo Tang & Alex Stringer. (2023) On the tightness of the Laplace approximation for statistical inference. Statistics & Probability Letters 198, pages 109839.
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Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

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Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

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