Jacopo Soriano
Google (United States)(US)
Publications by Year
Research Areas
Bayesian Methods and Mixture Models, Statistical Methods and Inference, Statistical Distribution Estimation and Applications, Statistical Methods and Bayesian Inference, Gene expression and cancer classification
Most-Cited Works
- → Percent Change Estimation in Large Scale Online Experiments(2017)34 cited
- → Text mining in computational advertising(2013)28 cited
- → Probabilistic Multi-Resolution Scanning for Two-Sample Differences(2016)26 cited
- → Semiparametric Bayesian Models for Clustering and Classification in the Presence of Unbalanced In-Hospital Survival(2013)20 cited
- → Efficient Functional ANOVA Through Wavelet-Domain Markov Groves(2017)11 cited
- → Analysis of Distributional Variation Through Graphical Multi-Scale Beta-Binomial Models(2017)9 cited
- → Mixture Modeling on Related Samples by ψ-Stick Breaking and Kernel Perturbation(2018)9 cited
- Bayesian Methods for Two-Sample Comparison(2015)
- → Choosing a Proxy Metric from Past Experiments(2024)5 cited
- → A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers(2012)4 cited