arXiv Statistics @arxiv_stats@qoto.org

Learning Coefficients in Semi-Regular Models https://arxiv.org/abs/2406.02646 #math.ST #stat.TH

Symmetric Kernels with Non-Symmetric Data: A Data-Agnostic Learnability Bound https://arxiv.org/abs/2406.02663 #cond-mat.dis-nn #stat.ML #cs.LG

MPCR: Multi- and Mixed-Precision Computations Package in R https://arxiv.org/abs/2406.02701 #stat.CO

Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo https://arxiv.org/abs/2406.02741 #stat.CO

Democratizing Propensity Score Matching Using Web Application https://arxiv.org/abs/2406.02743 #stat.AP

Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer https://arxiv.org/abs/2406.02751 #stat.ME

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks https://arxiv.org/abs/2406.02769 #stat.ML #cs.LG

PriME: Privacy-aware Membership profile Estimation in networks https://arxiv.org/abs/2406.02794 #stat.ME #math.ST #stat.TH #cs.SI

Asymptotic properties of parameter estimators in Vasicek model driven by tempered fractional Brownian motion https://arxiv.org/abs/2406.02800 #math.ST #math.PR #stat.TH

Distributional bias compromises leave-one-out cross-validation https://arxiv.org/abs/2406.01652 #q-bio.QM #stat.ME #cs.LG

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks https://arxiv.org/abs/2406.01653 #stat.ML #math.PR #stat.AP #stat.ME #cs.LG

An efficient solution to Hidden Markov Models on trees with coupled branches https://arxiv.org/abs/2406.01663 #q-bio.QM #stat.ML #eess.SP #stat.ME #cs.LG

Survival Data Simulation With the R Package rsurv https://arxiv.org/abs/2406.01750 #stat.CO #stat.ME

Fearless Stochasticity in Expectation Propagation https://arxiv.org/abs/2406.01801 #stat.ML #cs.LG

Diffusion Boosted Trees https://arxiv.org/abs/2406.01813 #stat.ML #stat.AP #stat.ME #cs.AI #cs.LG

Long-term foehn reconstruction combining unsupervised and supervised learning https://arxiv.org/abs/2406.01818 #physics.ao-ph #stat.AP #stat.ML

Bayesian Linear Models: A compact general set of results https://arxiv.org/abs/2406.01819 #stat.ME

Conditional uncorrelation equals independence https://arxiv.org/abs/2406.01849 #math.ST #math.PR #stat.TH

Variance-reduced sampling importance resampling https://arxiv.org/abs/2406.01864 #stat.CO

Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment https://arxiv.org/abs/2406.00127 #stat.ML #cs.LG