arXiv Statistics @arxiv_stats@qoto.org

collapse: Advanced and Fast Statistical Computing and Data Transformation in R https://arxiv.org/abs/2403.05038 #stat.CO

On an Empirical Likelihood based Solution to the Approximate Bayesian Computation Problem https://arxiv.org/abs/2403.05080 #stat.ME

Follow-the-Perturbed-Leader with Fr\'{e}chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds https://arxiv.org/abs/2403.05134 #stat.ML #cs.LG

Greedy feature selection: Classifier-dependent feature selection via greedy methods https://arxiv.org/abs/2403.05138 #stat.ML #math.NA #cs.LG #cs.NA

Modified wavelet variation for the Hermite processes https://arxiv.org/abs/2403.05140 #math.ST #math.PR #stat.TH

Errors due to departure from independence in multivariate Weibull distributions https://arxiv.org/abs/2403.05251 #math.ST #math.PR #stat.TH

An Efficient Quasi-Random Sampling for Copulas https://arxiv.org/abs/2403.05281 #stat.ML #math.ST #stat.TH

Robust covariance estimation and explainable outlier detection for matrix-valued data https://arxiv.org/abs/2403.03975 #stat.ME #stat.CO

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