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- An Interaction-Aware Decision Framework for FDIC-Assisted Distressed Bank Acquisitions: Empirical Evidence from the FDIC Failed-Bank Panel and the SVB-First Citizens Case
- Risk-Sensitive Non-Parametric and Kernel Bandits
- A latent space hidden Markov model for clustering views in longitudinal multilayer networks
- Understanding the Out-of-Distribution Generalization of Chain-of-Thought Reasoning in LLMs
- Efficient estimation of regression models for recurrent events in presence of terminal events
- Flexible Intensities Matter: A Comprehensive Re-evaluation of Hawkes Processes and Neural Temporal Point Processes
- Exponential Seniority Weighting Chain-Ladder Reserving
- When Predictive Fit Misleads: Selecting Marketing Mix Models Using Experimental RoAS Benchmarks
- Offline Learning of Reserve Prices from Censored Bids
- Time-Varying Tails: Estimation, Inference, and Risk Measurement
- Prior-data fitted networks for variable selection
- Does Your Trial Simulator Know What the Drug Does? An Intervention-Blind Test of Interventional Validity on 7,207 Registered Trials
- Right, Wrong, or Unfinished: A Competing Risks Framework for Language-Model Reasoning under Token Budgets
- Doubly robust win statistics for hierarchical survival endpoints in individual- and cluster-randomized trials
- A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
- Uncertainty aware prediction from incomplete clinical records: a conformal prediction study of Parkinsonian classification using C-OPN data
- Local Whittle estimation for distributional time series: A regularization framework in Bayes Hilbert space
- Asymptotics of Nonparametric Estimation under General Non-monotone MAR Missingness: A Nonparametric Maximum Likelihood Approach
- Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data
- Large-scale empirical tuning and comparison of default optimizers for variational inference
- Anchor PCA
- Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors
- Conservative neural posterior estimation via distributionally robust training
- A Rigorous, Tractable Measure of Model Complexity
- Prediction-Intervention Games and Invariant Sets