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Approximate posterior recalibration
👁 81 📚 24
Posterior inference via Hill's prediction model
👁 176 📚 25
Inference in high-dimensional logistic regression under tensor network dependence
👁 300 📚 37
Learning to Bet for Horizon-Aware Anytime-Valid Testing
👁 29 📚 10
Coordinate Descent Algorithm for Least Absolute Deviations Regression
👁 171 📚 16
Heterogeneous readmission prediction with hierarchical effect decomposition and regularization
👁 214 📚 40
Regression Adjustments for Double Randomization in Two-Sided Marketplaces
👁 383 📚 42
Doubly-Unlinked Regression for Dependent Data
👁 333 📚 37
Estimation of Multivariate Functional Principal Components from Sparse Functional Data
👁 236 📚 50
Estimating within-cluster and between-cluster spillover effects in randomized saturation designs
👁 154 📚 40
Stochastic Averaging and Statistical Inference of Glycolytic Pathway
👁 266 📚 22
Objective Model Prior Probabilities in Variable Selection
👁 100 📚 35
Invariant quantile regression for heterogeneous environments
👁 158 📚 35
Cancer Survival Rates Are Misleading
👁 394 📚 12
Scalable and Robust Spatial Prediction via Multi-Resolution Ensembles of Predictive Processes
👁 50 📚 15
Q-approximation of operating characteristics of clinical trial designs
👁 320 📚 33
On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
👁 483 📚 6
On Heterogeneity in Wasserstein Space
👁 430 📚 39
Prior- and likelihood-free probabilistic inference with finite-sample calibration guarantees
👁 413 📚 2
A System-Theoretic Approach to Hawkes Process Identification with Guaranteed Positivity and Stabilit...
👁 423 📚 26