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Transfer Learning in Information Criteria-based Feature Selection. (arXiv:2107.02847v1 [stat.ML]) arxiv.org/abs/2107.02847

Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test. (arXiv:2107.02849v1 [math.ST]) arxiv.org/abs/2107.02849

Principles for Evaluation of AI/ML Model Performance and Robustness. (arXiv:2107.02868v1 [cs.LG]) arxiv.org/abs/2107.02868

Non-Homogeneity Estimation and Universal Kriging on the Sphere. (arXiv:2107.02871v1 [stat.ME]) arxiv.org/abs/2107.02871

Network meta-analysis and random walks. (arXiv:2107.02886v1 [cs.SI]) arxiv.org/abs/2107.02886

On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime. (arXiv:2107.02891v1 [math.ST]) arxiv.org/abs/2107.02891

An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution. (arXiv:2107.02903v1 [stat.ME]) arxiv.org/abs/2107.02903

Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021". (arXiv:2107.02906v1 [q-bio.QM]) arxiv.org/abs/2107.02906

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. (arXiv:2107.02911v1 [cs.LG]) arxiv.org/abs/2107.02911

Featurized Density Ratio Estimation. (arXiv:2107.02212v1 [cs.LG]) arxiv.org/abs/2107.02212

Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination. (arXiv:2107.02237v1 [cs.LG]) arxiv.org/abs/2107.02237

Near-optimal inference in adaptive linear regression. (arXiv:2107.02266v1 [math.ST]) arxiv.org/abs/2107.02266

Clustering Structure of Microstructure Measures. (arXiv:2107.02283v1 [q-fin.ST]) arxiv.org/abs/2107.02283

Optimal Estimation of Brownian Penalized Regression Coefficients. (arXiv:2107.02291v1 [stat.ME]) arxiv.org/abs/2107.02291

Hierarchical clustered multiclass discriminant analysis via cross-validation. (arXiv:2107.02324v1 [stat.ME]) arxiv.org/abs/2107.02324

Asymptotics of Network Embeddings Learned via Subsampling. (arXiv:2107.02363v1 [stat.ML]) arxiv.org/abs/2107.02363

A Short Note on the Relationship of Information Gain and Eluder Dimension. (arXiv:2107.02377v1 [cs.LG]) arxiv.org/abs/2107.02377

Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic. (arXiv:2107.02394v1 [stat.AP]) arxiv.org/abs/2107.02394

Truncated Marginal Neural Ratio Estimation. (arXiv:2107.01214v1 [stat.ML]) arxiv.org/abs/2107.01214

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