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- Weak Limits of Parameter Estimation in Strongly Identifiable Mixture Models
- Corrected Block Sparse Spectral Optimization: Exact Models, Finite Identification, and Local Dynamics
- Geometric and measure-theoretic characterizations of the measure-determining property of balls in metric spaces
- Anytime-Valid Inference in Linear Models with Clustered Outcomes: Exact Multivariate Tests and Cluster-Robust Confidence Sequences
- Computing Fréchet Means on Unknown Submanifolds of Riemannian Manifolds
- Optimal Community Recovery by Spectrally Initialized Variational EM in General Stochastic Block Models
- Deep Stochastic Residual Methods for Fully Nonlinear Parabolic Equations
- A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt
- Cellwise and Casewise Robust Multivariate Regression with Inference
- Physics-Constrained Modeling and Inference of the Equation of State for Dissociative Materials
- Statistical decision theory in thermodynamics
- Simulation-free approximate Bayesian computation for stochastic reaction networks
- Probabilistic clinical studies and deterministic physiology: building a Monte Carlo bridge with the "Frank" project.
- A tutorial on selecting, translating, and reporting variance priors in Bayesian multilevel models.
- A pragmatic workflow for handling missing PROM data in registry studies: a methodological scoping review and simulated worked example.
- How Many Sites, Participants, and Trials? A Tutorial on Multilevel Power Analysis for Multisite Studies with Repeated Measures
- Simulation and Application of the Transmuted Unit Burr XII Distribution in Real-World Data Analysis
- Minimax Rates for imperfect Physics-Informed Regression
- Approximate maximum likelihood estimation for partially observed fractional diffusions from discrete observations
- Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection
- Activation-Matched Gibbs Initialization for Neural Networks
- Local data augmentation for imbalanced binary classification
- Reliable Estimation of Differential Privacy under Selection Bias
- Persistence is not Independence: A structural Credibility Protocol for Distribution based Recovery in VARLiNGAM
- Divergence based Ranked Preference Alignment for LLMs