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No-harm calibration for generalized Oaxaca-Blinder estimators. (arXiv:2012.09246v1 [stat.ME]) arxiv.org/abs/2012.09246

Detection of data drift and outliers affecting machine learning model performance over time. (arXiv:2012.09258v1 [stat.AP]) arxiv.org/abs/2012.09258

On the fractional queueing model with catastrophes. (arXiv:2012.09317v1 [math.PR]) arxiv.org/abs/2012.09317

Balancing Geometry and Density: Path Distances on High-Dimensional Data. (arXiv:2012.09385v1 [stat.ML]) arxiv.org/abs/2012.09385

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. (arXiv:2012.09390v1 [stat.ML]) arxiv.org/abs/2012.09390

l1-norm quantile regression screening rule via the dual circumscribed sphere. (arXiv:2012.09395v1 [stat.ME]) arxiv.org/abs/2012.09395

Maximum Entropy competes with Maximum Likelihood. (arXiv:2012.09430v1 [physics.data-an]) arxiv.org/abs/2012.09430

Robust Optimal Classification Trees under Noisy Labels. (arXiv:2012.08560v1 [cs.LG]) arxiv.org/abs/2012.08560

Personalized Federated Learning with First Order Model Optimization. (arXiv:2012.08565v1 [cs.LG]) arxiv.org/abs/2012.08565

BeBold: Exploration Beyond the Boundary of Explored Regions. (arXiv:2012.08621v1 [cs.LG]) arxiv.org/abs/2012.08621

Spectral band selection for vegetation properties retrieval using Gaussian processes regression. (arXiv:2012.08640v1 [cs.CV]) arxiv.org/abs/2012.08640

Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate. (arXiv:2012.08647v1 [stat.ME]) arxiv.org/abs/2012.08647

Online Learning Demands in Max-min Fairness. (arXiv:2012.08648v1 [stat.ML]) arxiv.org/abs/2012.08648

Effect of right censoring bias on survival analysis. (arXiv:2012.08649v1 [stat.ME]) arxiv.org/abs/2012.08649

Selection of multiple donor gauges via Graphical Lasso for estimation of daily streamflow time series. (arXiv:2012.08652v1 [stat.AP]) arxiv.org/abs/2012.08652

Generating from the Strauss Process using stitching. (arXiv:2012.08665v1 [math.PR]) arxiv.org/abs/2012.08665

Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data. (arXiv:2012.07844v1 [eess.SP]) arxiv.org/abs/2012.07844

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