Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data https://arxiv.org/abs/2404.19073 #stat.ML #eess.SP #cs.LG
Identification and estimation of causal effects using non-concurrent controls in platform trials https://arxiv.org/abs/2404.19118 #stat.ME
A model-free subdata selection method for classification https://arxiv.org/abs/2404.19127 #stat.ME #stat.ML
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks https://arxiv.org/abs/2404.19157 #stat.ML #cs.LG
Detecting Spectral Breaks in Spiked Covariance Models https://arxiv.org/abs/2404.19176 #math.ST #stat.TH
Tail Asymptotic of Heavy-Tail Risks with Elliptical Copula https://arxiv.org/abs/2404.19196 #math.ST #math.PR #stat.TH
Regression for matrix-valued data via Kronecker products factorization https://arxiv.org/abs/2404.19220 #stat.ML #cs.LG
Variational approximations of possibilistic inferential models https://arxiv.org/abs/2404.19224 #stat.CO #stat.ME
A Bayesian Regression Approach for Estimating the Impact of COVID-19 on Consumer Behavior in the Restaurant Industry https://arxiv.org/abs/2404.08670 #stat.AP #stat.ML #cs.LG
Differentially Private Log-Location-Scale Regression Using Functional Mechanism https://arxiv.org/abs/2404.08715 #stat.ML #stat.AP #cs.CR #cs.LG
Seasonal and Periodic Patterns of PM2.5 in Manhattan using the Variable Bandpass Periodic Block Bootstrap https://arxiv.org/abs/2404.08738 #stat.AP #stat.OT
Multiply-Robust Causal Change Attribution https://arxiv.org/abs/2404.08839 #stat.ME #econ.EM #stat.ML #cs.LG
Projection matrices and the sweep operator https://arxiv.org/abs/2404.08883 #stat.ME
Using early rejection Markov chain Monte Carlo and Gaussian processes to accelerate ABC methods https://arxiv.org/abs/2404.08898 #stat.CO
Inference of treatment effect and its regional modifiers using restricted mean survival time in multi-regional clinical trials https://arxiv.org/abs/2404.08128 #stat.ME
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