arXiv Statistics @arxiv_stats@qoto.org

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA https://arxiv.org/abs/2603.23547 #stat.ML #cs.LG

Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM https://arxiv.org/abs/2603.23576 #stat.AP #cs.AI #cs.LG

The Mass Agreement Score: A Point-centric Measure of Cluster Size Consistency https://arxiv.org/abs/2603.23581 #stat.ML #cs.LG

The Bernstein-von Mises theorem and efficiency for semiparametric inference in multivariate Hawkes processes https://arxiv.org/abs/2603.23655 #math.ST #stat.TH

Dynamical behaviors of a stochastic SIS epidemic model with mean-reverting inhomogeneous geometric brownian motion https://arxiv.org/abs/2603.23675 #stat.AP #math.PR

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package https://arxiv.org/abs/2603.23688 #stat.CO #stat.AP #stat.ME #stat.ML

The Long Shadow of Pandemic: Understanding the lingering effects of cause-specific mortality shocks https://arxiv.org/abs/2603.23707 #stat.AP

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study https://arxiv.org/abs/2603.23726 #stat.ME #stat.AP

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems https://arxiv.org/abs/2603.23736 #stat.ML #math.PR #math.ST #stat.TH #cs.LG

Age-Specific Logistic Regression with Complex Event Time Data https://arxiv.org/abs/2603.23767 #stat.ME #stat.AP

Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization https://arxiv.org/abs/2603.18311 #math.ST #stat.TH

Bridging Theory and Practice in Efficient Gaussian Process-Based Statistical Modeling for Large Datasets https://arxiv.org/abs/2603.18324 #stat.CO

Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference https://arxiv.org/abs/2603.18345 #stat.ME

Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport https://arxiv.org/abs/2603.15683 #stat.ML #cs.LG

Learnability with Partial Labels and Adaptive Nearest Neighbors https://arxiv.org/abs/2603.15781 #stat.ML #cs.LG

On the Equivalence between Neyman Orthogonality and Pathwise Differentiability https://arxiv.org/abs/2603.15817 #stat.ME #math.ST #stat.TH

A Portfolio-Anchored Frequency-Severity Risk Index for Trip and Driver Assessment Using Telematics Signals https://arxiv.org/abs/2603.15839 #q-fin.RM #stat.AP

Besag-Clifford e-values for unnormalized testing https://arxiv.org/abs/2603.15845 #stat.ME

A Utility Score Framework for Dose Optimization Studies with Binary Efficacy-Safety Endpoints: Sample Size Determination and Bias Characterization https://arxiv.org/abs/2603.15884 #stat.AP #stat.ME

SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data https://arxiv.org/abs/2603.15902 #stat.CO #stat.ME