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08/11/2023
Detecting changepoints in globally-indexed functional time series
In environmental and climate data, there is often an interest in determi...
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05/15/2023
Elastic Bayesian Model Calibration
Functional data are ubiquitous in scientific modeling. For instance, qua...
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11/23/2022
Elastic Functional Changepoint Detection
Detecting changepoints in functional data has become an important proble...
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09/07/2022
Dimensionality Reduction using Elastic Measures
With the recent surge in big data analytics for hyper-dimensional data t...
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10/15/2021
Spatio-temporal extreme event modeling of terror insurgencies
Extreme events with potential deadly outcomes, such as those organized b...
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11/24/2020
Elastic k-means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics
We propose a new method for clustering of functional data using a k-mean...
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11/18/2020
A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph
We introduce HITMIX, a new technique for network seed-set expansion, i.e...
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05/29/2020
A Robust Bayesian Approach to Function Registration in ℝ^1
Functional data registration is a necessary processing step for many app...
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09/05/2019
Regression Models Using Shapes of Functions as Predictors
Functional variables are often used as predictors in regression problems...
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10/15/2018
Computer model calibration based on image warping metrics: an application for sea ice deformation
Arctic sea ice plays an important role in the global climate. Sea ice mo...
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05/29/2018
Elastic Functional Principal Component Regression
We study regression using functional predictors in situations where thes...
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05/29/2018