arXiv Statistics @arxiv_stats@qoto.org

On the Efficient Marginalization of Probabilistic Sequence Models https://arxiv.org/abs/2403.04005 #stat.ML #cs.LG

Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures https://arxiv.org/abs/2403.04058 #stat.ME #stat.AP

Extract Mechanisms from Heterogeneous Effects: Identification Strategy for Mediation Analysis https://arxiv.org/abs/2403.04131 #stat.ME #econ.EM

Identification of socioeconomic factors influencing global food price security using machine learning https://arxiv.org/abs/2403.04231 #stat.AP

Fundamental limits of Non-Linear Low-Rank Matrix Estimation https://arxiv.org/abs/2403.04234 #stat.ML #cs.LG

Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations https://arxiv.org/abs/2403.04246 #stat.ML #cs.AI #cs.LG

Asymptotic Theory for Linear Functionals of Kernel Ridge Regression https://arxiv.org/abs/2403.04248 #math.ST #stat.TH

A Novel Theoretical Framework for Exponential Smoothing https://arxiv.org/abs/2403.04345 #stat.ME #math.PR #stat.ML

Subsampling for Big Data Linear Models with Measurement Errors https://arxiv.org/abs/2403.04361 #math.ST #stat.TH

Multiwinner Elections and the Spoiler Effect https://arxiv.org/abs/2403.03228 #stat.ME

From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models https://arxiv.org/abs/2403.03233 #stat.ML #cs.LG

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects https://arxiv.org/abs/2403.03240 #stat.ME #econ.EM #stat.ML #cs.LG

Understanding and avoiding the "weights of regression": Heterogeneous effects, misspecification, and longstanding solutions https://arxiv.org/abs/2403.03299 #stat.ME #econ.EM #stat.AP

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images https://arxiv.org/abs/2403.03349 #stat.ME #eess.IV #cs.CV

Hypothesis Spaces for Deep Learning https://arxiv.org/abs/2403.03353 #stat.ML #math.FA #cs.LG

Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems https://arxiv.org/abs/2403.03361 #stat.ML #cs.LG

Undergraduate data science education: Who has the microphone and what are they saying? https://arxiv.org/abs/2403.03387 #stat.OT

Is a Recent Surge in Global Warming Detectable? https://arxiv.org/abs/2403.03388 #stat.AP

Exploring Spatial Generalized Functional Linear Models: A Comparative Simulation Study and Analysis of COVID-19 https://arxiv.org/abs/2403.03389 #stat.ME

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation https://arxiv.org/abs/2403.02432 #stat.ML #math.OC #cs.LG