Kayla Danielle Coleman

Works (2)

Updated: July 5th, 2023 15:36

2019 article

Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics

Coleman, K. D., Lewis, A., Smith, R. C., Williams, B., Morris, M., & Khuwaileh, B. (2019, January 1). SIAM/ASA Journal on Uncertainty Quantification, Vol. 7, pp. 117–142.

By: K. Coleman n, A. Lewis*, R. Smith n , B. Williams *, M. Morris * & B. Khuwaileh *

author keywords: gradient-free active subspaces; neutronics applications
topics (OpenAlex): Model Reduction and Neural Networks; Probabilistic and Robust Engineering Design; Advanced Numerical Methods in Computational Mathematics
TL;DR: This paper aims to demonstrate the ability to efficiently approximate complex models by constructing low-overtime subspace models using a simple model-to-model comparison procedure. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019

2016 article

Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models**This research was supported in part by the Department of Energy National Nuclear Security Administration (NNSA) through the Consortium for Nonproliferation Enabling Capabilities (CNEC) award number DE-NA0002576.

Coleman, K. D., Schmidt, K., & Smith, R. C. (2016, January 1). IFAC-PapersOnLine, Vol. 49, pp. 416–421.

By: K. Coleman n, K. Schmidt  n & R. Smith n 

author keywords: DRAM; parameter selection; regularization; regression; identifiability
topics (OpenAlex): Markov Chains and Monte Carlo Methods; Statistical Methods and Inference; Fault Detection and Control Systems
TL;DR: This paper surveys the performance of existing algorithms and presents a new Bayesian lasso implementation based on the Delayed Rejection Adaptive Metropolis (DRAM) algorithm. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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