arXiv Statistics @arxiv_stats@qoto.org

SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation https://arxiv.org/abs/2603.25776 #stat.ML #cs.LG

Beyond identifiability: Learning causal representations with few environments and finite samples https://arxiv.org/abs/2603.25796 #stat.ML #math.ST #stat.TH #cs.AI #cs.LG

Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors https://arxiv.org/abs/2603.25806 #stat.ME #math.ST #stat.CO #stat.TH

Causal Network Discovery from Interventional Count Data with Latent Linear DAGs https://arxiv.org/abs/2603.25838 #stat.ME

Modeling with Categorical Features via Exact Fusion and Sparsity Regularisation https://arxiv.org/abs/2603.25854 #stat.ME

On the Expressive Power of Contextual Relations in Transformers https://arxiv.org/abs/2603.25860 #stat.ML #cs.LG

Finite-Time Observability of Oscillatory Instabilities in Synchronous p-bit Dynamics https://arxiv.org/abs/2603.25910 #math.ST #stat.TH

Robust Tensor-on-Tensor Regression https://arxiv.org/abs/2603.25911 #stat.ME #stat.ML

Regularized Regression by Composition: Identifiability, Structured Penalization, and Statistical Guarantees for Multi-Flow Distributional Models https://arxiv.org/abs/2603.25919 #stat.ME

Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance https://arxiv.org/abs/2603.25934 #math.ST #math.PR #stat.ML #stat.TH

Estimation in moderately misspecified models https://arxiv.org/abs/2603.24632 #stat.ME

A capture-recapture hidden Markov model framework for register-based inference of population size and dynamics https://arxiv.org/abs/2603.24643 #stat.AP

Conformal Selective Prediction with General Risk Control https://arxiv.org/abs/2603.24704 #stat.ME #stat.AP #stat.ML #cs.LG

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks https://arxiv.org/abs/2603.24705 #stat.ME #econ.EM #cs.LG

Wavelet-based estimation in aggregated functional data with positive and correlated errors https://arxiv.org/abs/2603.24718 #stat.ME

Binary Expansion Group Intersection Network https://arxiv.org/abs/2603.24763 #math.ST #stat.ML #stat.TH #cs.LG

Identifiable Deep Latent Variable Models for MNAR Data https://arxiv.org/abs/2603.24771 #stat.ME #stat.ML

Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference https://arxiv.org/abs/2603.24783 #q-bio.GN #stat.ME #stat.AP

Improving online FDR procedures via online analogs of e-closure and compound e-values https://arxiv.org/abs/2603.24792 #stat.ME #math.ST #stat.TH

Multiple-group (Controlled) Interrupted Time Series Analysis with Higher-Order Autoregressive Errors: A Simulation Study Comparing Newey-West and Prais-Winsten Methods https://arxiv.org/abs/2603.24814 #stat.AP