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- A cost-effective data assimilation system for improving ROMS simulations in the Southwest Atlantic
- Reinforcement learning-driven optimal capital allocation for intelligent finance
- Transparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publication
- Applying normalized p-control charts for early detection of local COVID-19 outbreaks
- False discovery rate control for sparse correlation matrix.
- Working memory, mathematics motivation, and problem solving in English learners with and without risk for mathematics learning difficulties: evidence from a high-poverty urban district
- Testing the statistical compatibility of data sets with a common prior
- Communication Complexity of Universal Features
- Choose your own adventure: How data source selection shapes urban accessibility analyses
- A copula-based competing risks model with application to cancer risk estimation in family studies
- Doubly Robust Estimation and Inference for Longitudinal Win Probabilities with Ordinal Outcomes in Observational Studies
- A plug-in estimator of the non-iterative conditional expectation g-formula using long short-term memory models
- VampPrior Unleashed
- Inference for Directions in Canonical Correlation Analysis with Partially Paired Data
- Quantile-Only Regression: Inference and Partial Identification under Quantile Disclosure
- Diffusion Score Estimation with Shallow Neural Networks: Regularity, Approximation, and Finite-Sample Rates
- Visualizing Joint Ranking Distributions in Network Meta-Analysis with Hammock Plots
- Positive, monotone, and convex Gaussian process regression with Laplacian eigenfunctions
- Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations
- Dynamic Dual-Feedback Conformal Inference for Time Series Forecasting
- Incorporating therapist capacity, availability and turnover in trials of therapist-delivered interventions: Non-orthogonal factorial designs
- Towards Hyperparameter Transfer for Differentially Private Optimization
- Complete or Sparse: A Tale of Two Identifiabilities
- confoundvis for Visualizing and Reporting Sensitivity to Unmeasured Confounding in R
- What Does the Rank Buy? A Spectral and Distributional Analysis of Low-Rank Adaptation