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01/24/2023
Sequential model correction for nonlinear inverse problems
Inverse problems are in many cases solved with optimization techniques. ...
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12/01/2022
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso
Lasso is a popular and efficient approach to simultaneous estimation and...
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11/18/2021
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data
Many interventional surgical procedures rely on medical imaging to visua...
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09/10/2021
Reducing bias and alleviating the influence of excess of zeros with multioutcome adaptive LAD-lasso
Zero-inflated explanatory variables are common in fields such as ecology...
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10/13/2020
The intersection of location-allocation and clustering
Location-allocation and partitional spatial clustering both deal with sp...
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07/22/2020
Blind hierarchical deconvolution
Deconvolution is a fundamental inverse problem in signal processing and ...
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07/17/2019