Causal Effects with Hidden Treatment Diffusion on Observed or Partially Observed Networks. (arXiv:2109.07502v1 [stat.ME])

RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs. (arXiv:2109.07555v1 [stat.ML])

Bivariate Hierarchical Bayesian Model for Combining Summary Measures and their Uncertainties from Multiple Sources. (arXiv:2109.07560v1 [stat.ME])

Non-smooth Bayesian Optimization in Tuning Problems. (arXiv:2109.07563v1 [cs.LG])

Testing the efficacy of epidemic testing. (arXiv:2109.07580v1 [physics.soc-ph])

The Impact of COVID-19 on Sports Betting Markets. (arXiv:2109.07581v1 [physics.soc-ph])

Direct estimation of differential Granger causality between two high-dimensional time series. (arXiv:2109.07609v1 [stat.ME])

BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales. (arXiv:2109.07623v1 [cs.SD])

How trustworthy is your tree? Bayesian phylogenetic effective sample size through the lens of Monte Carlo error. (arXiv:2109.07629v1 [stat.ME])

Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity. (arXiv:2109.07646v1 [econ.EM])

Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. (arXiv:2109.06911v1 [stat.ML])

Spatiotemporal Characterization of VIIRS Night Light. (arXiv:2109.06913v1 [physics.geo-ph])

Reconstruction on Trees and Low-Degree Polynomials. (arXiv:2109.06915v1 [math.PR])

Choosing an Optimal Method for Causal Decomposition Analysis: A Better Practice for Identifying Contributing Factors to Health Disparities. (arXiv:2109.06940v1 [stat.ME])

Learning trends of COVID-19 using semi-supervised clustering. (arXiv:2109.06955v1 [stat.AP])

Proximal Causal Inference for Complex Longitudinal Studies. (arXiv:2109.07030v1 [stat.ME])

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States. (arXiv:2109.07059v1 [math.AP])

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. (arXiv:2109.07117v1 [cs.LG])

Bayesian testing of linear versus nonlinear effects using Gaussian process priors. (arXiv:2109.07166v1 [stat.ME])

Show more
Qoto Mastodon

QOTO: Question Others to Teach Ourselves. A STEM-oriented instance.

An inclusive free speech instance.
All cultures and opinions welcome.
Explicit hate speech and harassment strictly forbidden.
We federate with all servers: we don't block any servers.