A linked Tucker tensor factorization enables a joint individualized hurdle-ordinal regression model that uncovers spatially heterogeneous effects of fluoride and diet on paired caries and fluorosis outcomes.
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Predictively consistent priors let complex Bayesian models match or beat the out-of-sample performance of selected simpler models across linear, logistic, and nonlinear examples without explicit selection.
Elo's heuristic and MLE perspectives coincide for binary logistic cases but demand closed-form noise corrections to scale and home-field parameters for accurate prediction, outperforming the standard approach and showing non-convergence in FIFA rankings.
A Bayesian mixed Hawkes process with Weibull baseline intensity and random effects is developed to model seizure clustering and heterogeneity in focal epilepsy from the Human Epilepsy Project data.
The paper introduces a three-pillar framework comprising eight modular analyses for sensitivity analysis of borrowing assumptions in externally controlled trials, illustrated with a simulated Bayesian hybrid evidence synthesis example.
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Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
A linked Tucker tensor factorization enables a joint individualized hurdle-ordinal regression model that uncovers spatially heterogeneous effects of fluoride and diet on paired caries and fluorosis outcomes.
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To select or not to select: predictively consistent priors instead of model selection
Predictively consistent priors let complex Bayesian models match or beat the out-of-sample performance of selected simpler models across linear, logistic, and nonlinear examples without explicit selection.
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New insights into Elo algorithm for practitioners and statisticians
Elo's heuristic and MLE perspectives coincide for binary logistic cases but demand closed-form noise corrections to scale and home-field parameters for accurate prediction, outperforming the standard approach and showing non-convergence in FIFA rankings.
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A Mixed Self-Exciting Process to Model Epileptic Seizures
A Bayesian mixed Hawkes process with Weibull baseline intensity and random effects is developed to model seizure clustering and heterogeneity in focal epilepsy from the Human Epilepsy Project data.
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A Practical Framework for Sensitivity Analysis in Externally Controlled Trials: An Illustration with a Bayesian Hybrid Evidence Synthesis Case Study
The paper introduces a three-pillar framework comprising eight modular analyses for sensitivity analysis of borrowing assumptions in externally controlled trials, illustrated with a simulated Bayesian hybrid evidence synthesis example.