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05/08/2023
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
In spatial statistics, fast and accurate parameter estimation coupled wi...
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04/06/2023
Statistical constraints on climate model parameters using a scalable cloud-based inference framework
Atmospheric aerosols influence the Earth's climate, primarily by affecti...
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08/04/2022
Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
We study the problem of data-driven background estimation, arising in th...
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05/31/2022
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm
The vast majority of modern machine learning targets prediction problems...
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11/01/2021
Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals
Unfolding is an ill-posed inverse problem in particle physics aiming to ...
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05/20/2021
Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach
The world ocean plays a key role in redistributing heat in the climate s...
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02/15/2021
Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests
A central goal in experimental high energy physics is to detect new phys...
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12/30/2020
Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones
Prevailing theory contends that tropical cyclones (TCs) are primarily dr...
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07/29/2020
Objective frequentist uncertainty quantification for atmospheric CO_2 retrievals
The steadily increasing amount of atmospheric carbon dioxide (CO_2) is a...
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11/01/2017
Locally stationary spatio-temporal interpolation of Argo profiling float data
Argo floats measure sea water temperature and salinity in the upper 2,00...
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12/14/2011