arXiv Statistics @arxiv_stats@qoto.org

Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models. (arXiv:2101.12282v1 [math.ST]) http://arxiv.org/abs/2101.12282

Semiparametric point process modelling of blinking artifacts in PALM. (arXiv:2101.12285v1 [stat.AP]) http://arxiv.org/abs/2101.12285

From Geometry to Topology: Inverse Theorems for Distributed Persistence. (arXiv:2101.12288v1 [math.AT]) http://arxiv.org/abs/2101.12288

Experimentation for Homogenous Policy Change. (arXiv:2101.12318v1 [stat.ME]) http://arxiv.org/abs/2101.12318

The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application. (arXiv:2101.12326v1 [stat.AP]) http://arxiv.org/abs/2101.12326

Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule. (arXiv:2101.12333v1 [stat.ME]) http://arxiv.org/abs/2101.12333

A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series. (arXiv:2101.12348v1 [astro-ph.IM]) http://arxiv.org/abs/2101.12348

On Statistical Bias In Active Learning: How and When To Fix It. (arXiv:2101.11665v1 [stat.ML]) http://arxiv.org/abs/2101.11665

The AL-Gaussian Distribution as the Descriptive Model for the Internal Proactive Inhibition in the Standard Stop Signal Task. (arXiv:2101.11682v1 [stat.ME]) http://arxiv.org/abs/2101.11682

Hadamard Powers and the Identification of Mixtures of Products. (arXiv:2101.11688v1 [cs.LG]) http://arxiv.org/abs/2101.11688

Overestimation learning with guarantees. (arXiv:2101.11717v1 [cs.LG]) http://arxiv.org/abs/2101.11717

Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems. (arXiv:2101.11740v1 [math.OC]) http://arxiv.org/abs/2101.11740

Learning $\mathbf{\mathit{Matching}}$ Representations for Individualized Organ Transplantation Allocation. (arXiv:2101.11769v1 [stat.ML]) http://arxiv.org/abs/2101.11769

Random Graph Matching with Improved Noise Robustness. (arXiv:2101.11783v1 [cs.DS]) http://arxiv.org/abs/2101.11783

A Kernel-Based Neural Network for High-dimensional Genetic Risk Prediction Analysis. (arXiv:2101.11807v1 [stat.ME]) http://arxiv.org/abs/2101.11807

Interpolating Classifiers Make Few Mistakes. (arXiv:2101.11815v1 [stat.ML]) http://arxiv.org/abs/2101.11815

Inference of stochastic time series with missing data. (arXiv:2101.11816v1 [physics.data-an]) http://arxiv.org/abs/2101.11816

FDApy: a Python package for functional data. (arXiv:2101.11003v1 [cs.MS]) http://arxiv.org/abs/2101.11003

Quantum machine learning models are kernel methods. (arXiv:2101.11020v1 [quant-ph]) http://arxiv.org/abs/2101.11020

Average Localised Proximity: a new data descriptor with good default one-class classification performance. (arXiv:2101.11037v1 [cs.LG]) http://arxiv.org/abs/2101.11037