Works (5)

Updated: July 5th, 2023 15:39

2021 article

A projector-based approach to quantifying total and excess uncertainties for sketched linear regression

Chi, J. T., & Ipsen, I. C. F. (2021, August 11). INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, Vol. 8.

By: J. Chi & I. Ipsen n

co-author countries: United States of America 🇺🇸
author keywords: expectation; variance; bias; mean squared error; predictive risk
Sources: Web Of Science, ORCID
Added: November 17, 2021

2021 journal article

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 59(4), 3338–3351.

co-author countries: France 🇫🇷 United States of America 🇺🇸
author keywords: Alternating direction method of multipliers (ADMM); blind hyperspectral unmixing; graph Laplacian; graph total variation (gTV); Nystrom method
Source: Web Of Science
Added: May 24, 2021

2021 journal article

Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten p-norms

LINEAR ALGEBRA AND ITS APPLICATIONS, 624, 87–102.

By: J. Chi & I. Ipsen n

co-author countries: United States of America 🇺🇸
author keywords: Projector Multiplicative perturbations; Moore Penrose inverse; Schatten p-norms; Multivariate multiple linear; regression
Sources: Web Of Science, ORCID
Added: May 1, 2021

2021 journal article

SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data

FRONTIERS IN GENETICS, 12.

By: J. Chi*, I. Ipsen n, T. Hsiao*, C. Lin, L. Wang*, W. Lee*, T. Lu*, J. Tzeng n

co-author countries: Taiwan, Province of China 🇹🇼 United States of America 🇺🇸
author keywords: gene-based GxE test for biobank data; GxE collapsing test for biobank data; GxE test for large-scale sequencing data; scalable GEI test; gene-environment variance component test; gene-environment kernel test; regional-based gene-environment test
Sources: Web Of Science, ORCID
Added: November 29, 2021

2016 journal article

k-POD: A Method for k-Means Clustering of Missing Data

AMERICAN STATISTICIAN, 70(1), 91–99.

By: J. Chi, E. Chi & R. Baraniuk

author keywords: Clustering; k-means; Imputation; Majorization-minimization; Missing data
Sources: Web Of Science, ORCID
Added: August 6, 2018

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