arXiv Statistics @arxiv_stats@qoto.org

Defining Estimands Using a Mix of Strategies to Handle Intercurrent Events in Clinical Trials. (arXiv:2006.03105v1 [stat.AP]) http://arxiv.org/abs/2006.03105

A Linear Algebraic Approach to Model Parallelism in Deep Learning. (arXiv:2006.03108v1 [cs.LG]) http://arxiv.org/abs/2006.03108

Embedding Directed Graphs in Potential Fields Using FastMap-D. (arXiv:2006.03112v1 [cs.LG]) http://arxiv.org/abs/2006.03112

Earnings Prediction with Deep Leaning. (arXiv:2006.03132v1 [q-fin.GN]) http://arxiv.org/abs/2006.03132

Identifiability and estimation under the test-negative design with population controls with the goal of identifying risk and preventive factors for SARS-CoV-2 infection. (arXiv:2006.03140v1 [stat.ME]) http://arxiv.org/abs/2006.03140

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. (arXiv:2006.03141v1 [cs.SI]) http://arxiv.org/abs/2006.03141

Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. (arXiv:2006.03143v1 [stat.ML]) http://arxiv.org/abs/2006.03143

COVID-19 Real-Time Tracker and Analytical Report. (arXiv:2006.03146v1 [stat.AP]) http://arxiv.org/abs/2006.03146

Hidden Markov models are recurrent neural networks: A disease progression modeling application. (arXiv:2006.03151v1 [stat.ML]) http://arxiv.org/abs/2006.03151

Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes. (arXiv:2006.02460v1 [stat.ML]) http://arxiv.org/abs/2006.02460

A New Look to Three-Factor Fama-French Regression Model using Sample Innovations. (arXiv:2006.02467v1 [q-fin.ST]) http://arxiv.org/abs/2006.02467

R\'{e}nyi Generative Adversarial Networks. (arXiv:2006.02479v1 [cs.LG]) http://arxiv.org/abs/2006.02479

Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning. (arXiv:2006.02482v1 [cs.LG]) http://arxiv.org/abs/2006.02482

Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil. (arXiv:2006.02483v1 [stat.AP]) http://arxiv.org/abs/2006.02483

Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels. (arXiv:2006.02489v1 [physics.comp-ph]) http://arxiv.org/abs/2006.02489

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. (arXiv:2006.02493v1 [stat.ML]) http://arxiv.org/abs/2006.02493

Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates. (arXiv:2006.02504v1 [stat.ME]) http://arxiv.org/abs/2006.02504

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. (arXiv:2006.02509v1 [math.ST]) http://arxiv.org/abs/2006.02509

Anomaly Detection with Tensor Networks. (arXiv:2006.02516v1 [cs.LG]) http://arxiv.org/abs/2006.02516

Consistent Estimators for Learning to Defer to an Expert. (arXiv:2006.01862v1 [cs.LG]) http://arxiv.org/abs/2006.01862