The CCIMI blog

Nuisance parameters

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Explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems

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Analysis of Networks via the Sparse β-Model

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High-dimensional sign tests for the direction of a skewed single-spiked distribution

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On the fundamental understanding of distributed computation

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Post-selection confidence intervals and confidence curves

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Model selection with Lasso-Zero and a robust extension with an application to the problem of missing covariates

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On the hypocoercivity of some PDMP-Monte Carlo algorithms

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Posterior concentration for Bayesian regression trees and their ensembles

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Concentration of tempered posteriors and of their variational approximations

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