arXiv Statistics @arxiv_stats@qoto.org

Probabilistic model for spatially acquiring optical links in space under influence of band-limited beam jitter. (arXiv:2302.09080v1 [eess.SP]) http://arxiv.org/abs/2302.09080

Multiple change-point detection for Poisson processes. (arXiv:2302.09103v1 [stat.ME]) http://arxiv.org/abs/2302.09103

Z-residual diagnostics for detecting misspecification of the functional form of covariates for shared frailty models. (arXiv:2302.09106v1 [stat.ME]) http://arxiv.org/abs/2302.09106

A Novel Alternating Joint Longitudinal Model for Post-ICU Hemoglobin Prediction. (arXiv:2302.09110v1 [stat.AP]) http://arxiv.org/abs/2302.09110

Graphical Dirichlet Process. (arXiv:2302.09111v1 [stat.ME]) http://arxiv.org/abs/2302.09111

JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. (arXiv:2302.09125v1 [cs.LG]) http://arxiv.org/abs/2302.09125

Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity. (arXiv:2302.09138v1 [stat.ME]) http://arxiv.org/abs/2302.09138

Bayesian Quantification with Black-Box Estimators. (arXiv:2302.09159v1 [stat.ML]) http://arxiv.org/abs/2302.09159

The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference. (arXiv:2302.09163v1 [stat.ML]) http://arxiv.org/abs/2302.09163

Copula-based synthetic population generation. (arXiv:2302.09193v1 [stat.ML]) http://arxiv.org/abs/2302.09193

Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence. (arXiv:2302.08580v1 [math.OC]) http://arxiv.org/abs/2302.08580

Intrinsic and extrinsic deep learning on manifolds. (arXiv:2302.08606v1 [stat.ML]) http://arxiv.org/abs/2302.08606

Robust expected improvement for Bayesian optimization. (arXiv:2302.08612v1 [cs.LG]) http://arxiv.org/abs/2302.08612

Skew-Normal Posterior Approximations. (arXiv:2302.08614v1 [stat.ME]) http://arxiv.org/abs/2302.08614

Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. (arXiv:2302.08617v1 [cs.LG]) http://arxiv.org/abs/2302.08617

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. (arXiv:2302.08635v1 [cs.LG]) http://arxiv.org/abs/2302.08635

Piecewise Deterministic Markov Processes for Bayesian Neural Networks. (arXiv:2302.08724v1 [stat.ML]) http://arxiv.org/abs/2302.08724

Rigorous Derivation of the Degenerate Parabolic-Elliptic Keller-Segel System from a Moderately Interacting Stochastic Particle System. Part II Propagation of Chaos. (arXiv:2302.08763v1 [math.PR]) http://arxiv.org/abs/2302.08763

A Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. (arXiv:2302.08766v1 [stat.ML]) http://arxiv.org/abs/2302.08766

SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance. (arXiv:2302.08783v1 [cs.LG]) http://arxiv.org/abs/2302.08783