Introduces bridge score as balancing score for mediator ignorability, derives sharp pointwise bounds on mediator-outcome confounding via two latent parameters, and provides benchmark and residual-budget calibration for sensitivity analysis.
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The authors introduce an RJMCMC framework with prior, independence, and moment-matching proposals for non-conjugate ddCRP models, validated via simulation and Old Faithful eruption data.
The historical sequence of papal names is consistent with a random-copying process with innovation, as predicted by Ewens sampling theory and the Chinese restaurant process.
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Sensitivity analysis for causal mediation: bridge score, sharp sensitivity bounds, and calibration
Introduces bridge score as balancing score for mediator ignorability, derives sharp pointwise bounds on mediator-outcome confounding via two latent parameters, and provides benchmark and residual-budget calibration for sensitivity analysis.
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Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
The authors introduce an RJMCMC framework with prior, independence, and moment-matching proposals for non-conjugate ddCRP models, validated via simulation and Old Faithful eruption data.
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Quo nomine vis vocari? A random-copying model explains the temporal sequence of papal names
The historical sequence of papal names is consistent with a random-copying process with innovation, as predicted by Ewens sampling theory and the Chinese restaurant process.