arXiv Statistics @arxiv_stats@qoto.org

Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE. (arXiv:2012.06691v1 [stat.ML]) http://arxiv.org/abs/2012.06691

Generating Adversarial Disturbances for Controller Verification. (arXiv:2012.06695v1 [cs.LG]) http://arxiv.org/abs/2012.06695

Transformed-Linear Models for Time Series Extremes. (arXiv:2012.06705v1 [stat.ME]) http://arxiv.org/abs/2012.06705

Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players. (arXiv:2012.06715v1 [stat.AP]) http://arxiv.org/abs/2012.06715

Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints. (arXiv:2012.06718v1 [cs.LG]) http://arxiv.org/abs/2012.06718

On Proximal Causal Learning with Many Hidden Confounders. (arXiv:2012.06725v1 [stat.ME]) http://arxiv.org/abs/2012.06725

Outlier-robust sparse/low-rank least-squares regression and robust matrix completion. (arXiv:2012.06750v1 [math.ST]) http://arxiv.org/abs/2012.06750

Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation. (arXiv:2012.05905v1 [eess.SP]) http://arxiv.org/abs/2012.05905

Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network. (arXiv:2012.05907v1 [cs.LG]) http://arxiv.org/abs/2012.05907

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. (arXiv:2012.05912v1 [q-bio.QM]) http://arxiv.org/abs/2012.05912

Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems. (arXiv:2012.05936v1 [stat.ME]) http://arxiv.org/abs/2012.05936

Gibbs Point Process Model for Young Star Clusters in M33. (arXiv:2012.05938v1 [astro-ph.GA]) http://arxiv.org/abs/2012.05938

A Simplistic Machine Learning Approach to Contact Tracing. (arXiv:2012.05940v1 [cs.LG]) http://arxiv.org/abs/2012.05940

Optimal selection of a common subset of covariates for different regressions. (arXiv:2012.05949v1 [math.ST]) http://arxiv.org/abs/2012.05949

Bayesian nonstationary and nonparametric covariance estimation for large spatial data. (arXiv:2012.05967v1 [stat.ME]) http://arxiv.org/abs/2012.05967

Power prior models for treatment effect estimation in a small n, sequential, multiple assignment, randomized trial. (arXiv:2012.05968v1 [stat.ME]) http://arxiv.org/abs/2012.05968

Clustering multivariate functional data using unsupervised binary trees. (arXiv:2012.05973v1 [stat.ML]) http://arxiv.org/abs/2012.05973

Hard and Soft EM in Bayesian Network Learning from Incomplete Data. (arXiv:2012.05269v1 [stat.ML]) http://arxiv.org/abs/2012.05269

Searching for genetic interactions in complex disease by using distance correlation. (arXiv:2012.05285v1 [math.ST]) http://arxiv.org/abs/2012.05285

A modified Susceptible-Infected-Recovered model for observed under-reported incidence data. (arXiv:2012.05294v1 [q-bio.PE]) http://arxiv.org/abs/2012.05294