The CCIMI blog

The concept of separable effects for causal mediation and competing risks analyses

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Posterior contraction rates for potentially nonlinear inverse problems

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On Statistical Learning for Individualized Decision Making with Complex Data

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Convergence of Gaussian process emulators with estimated hyper-parameters and applications in Bayesian inverse problems

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Optimal Transport

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On the convergence of the Hamiltonian Monte Carlo algorithm and other irreversible MCMC methods

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Optimal Transport for Machine Learning

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Multiscale Analysis of Bayesian CART

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Identifying Cointegration by Eigenanalysis

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Classification with unknown class conditional label noise on non-compact feature spaces

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