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05/05/2022
COMBSS: Best Subset Selection via Continuous Optimization
We consider the problem of best subset selection in linear regression, w...
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03/22/2022
Nonstationary Nearest Neighbor Gaussian Process: hierarchical model architecture and MCMC sampling
Nonstationary spatial modeling presents several challenges including, bu...
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06/03/2021
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data
Real time monitoring using in situ sensors is becoming a common approach...
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10/02/2020
Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation
Even though Nearest Neighbor Gaussian Processes (NNGP) alleviate conside...
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05/29/2020
Estimation of Semi-Markov Multi-state Models: A Comparison of the Sojourn Times and Transition Intensities Approaches
Semi-Markov models are widely used for survival analysis and reliability...
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02/23/2017
