The CCIMI blog

Spillover Effects in Cluster Randomized Trials with Noncompliance

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Langevin Monte Carlo for Degenerately Convex Potentials

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Network change point detection

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Selection bias, missing data and causal inference

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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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