arXiv Statistics @arxiv_stats@qoto.org

Calabi-Yau Four/Five/Six-folds as $\mathbb{P}^n_\textbf{w}$ Hypersurfaces: Machine Learning, Approximation, and Generation. (arXiv:2311.17146v1 [hep-th]) http://arxiv.org/abs/2311.17146

A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth. (arXiv:2311.17173v1 [cs.LG]) http://arxiv.org/abs/2311.17173

Tail Risk and Systemic Risk Estimation of Cryptocurrencies: an Expectiles and Marginal Expected Shortfall based approach. (arXiv:2311.17239v1 [q-fin.RM]) http://arxiv.org/abs/2311.17239

Detecting influential observations in single-index models with metric-valued response objects. (arXiv:2311.17246v1 [stat.CO]) http://arxiv.org/abs/2311.17246

mvlearnR and Shiny App for multiview learning. (arXiv:2311.16181v1 [q-bio.GN]) http://arxiv.org/abs/2311.16181

Modelling wildland fire burn severity in California using a spatial Super Learner approach. (arXiv:2311.16187v1 [cs.LG]) http://arxiv.org/abs/2311.16187

Using Multiple Outcomes to Improve the Synthetic Control Method. (arXiv:2311.16260v1 [econ.EM]) http://arxiv.org/abs/2311.16260

A statistical approach to latent dynamic modeling with differential equations. (arXiv:2311.16286v1 [stat.ME]) http://arxiv.org/abs/2311.16286

Testing for a difference in means of a single feature after clustering. (arXiv:2311.16375v1 [stat.ME]) http://arxiv.org/abs/2311.16375

A Combinatorial Approach to Robust PCA. (arXiv:2311.16416v1 [cs.DS]) http://arxiv.org/abs/2311.16416

Variational Inference for the Latent Shrinkage Position Model. (arXiv:2311.16451v1 [stat.ME]) http://arxiv.org/abs/2311.16451

Low-rank longitudinal factor regression. (arXiv:2311.16470v1 [stat.AP]) http://arxiv.org/abs/2311.16470

On the adaptation of causal forests to manifold data. (arXiv:2311.16486v1 [math.ST]) http://arxiv.org/abs/2311.16486

Using Bayesian Statistics in Confirmatory Clinical Trials in the Regulatory Setting. (arXiv:2311.16506v1 [stat.AP]) http://arxiv.org/abs/2311.16506

Instance-Specific Asymmetric Sensitivity in Differential Privacy. (arXiv:2311.14681v1 [cs.DS]) http://arxiv.org/abs/2311.14681

Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash. (arXiv:2311.14698v1 [stat.ME]) http://arxiv.org/abs/2311.14698

Deep State-Space Model for Predicting Cryptocurrency Price. (arXiv:2311.14731v1 [q-fin.ST]) http://arxiv.org/abs/2311.14731

Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data. (arXiv:2311.14759v1 [q-fin.ST]) http://arxiv.org/abs/2311.14759

Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing. (arXiv:2311.14766v1 [cs.LG]) http://arxiv.org/abs/2311.14766

Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning. (arXiv:2311.14828v1 [stat.ML]) http://arxiv.org/abs/2311.14828