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08/16/2022
Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes
Bayesian hierarchical models are proposed for modeling tropical cyclone ...
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06/11/2022
Feature Selection using e-values
In the context of supervised parametric models, we introduce the concept...
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11/26/2021
Approximate Bayesian Computation for Physical Inverse Modeling
Semiconductor device models are essential to understand the charge trans...
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07/02/2021
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
High-dimensional data, where the dimension of the feature space is much ...
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01/12/2021
Bayesian equation selection on sparse data for discovery of stochastic dynamical systems
Often the underlying system of differential equations driving a stochast...
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06/03/2019
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Traditional approaches focus on finding relationships between two entire...
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05/07/2019
On Weighted Multivariate Sign Functions
Multivariate sign functions are often used for robust estimation and inf...
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01/23/2019
New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks
Understanding dependence structure among extreme values plays an importa...
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10/06/2018
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
In many domains, there is significant interest in capturing novel relati...
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02/16/2018
Mining Sub-Interval Relationships In Time Series Data
Time-series data is being increasingly collected and stud- ied in severa...
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02/04/2018