Myeonghun Yoo
Ewha Womans University
About the Lab
Professor Myeonghun Yoo's research lab specializes in high-dimensional statistical modeling, with a focus on quantile regression, sparse estimation, and inference under complex data structures. The lab develops advanced methodologies for analyzing high-dimensional data with heterogeneous effects across conditional distributions, emphasizing regularization techniques, post-selection inference, and efficient computation for dependent or structured observations. Current research integrates statistical theory with optimization, aiming to bridge methodological innovation and practical application in large-scale data analysis.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1Abstract This article provides a selective overview of recent advances in high‐dimensional quantile regression, a framework that captures heterogeneous covariate effects across the conditional distribution. We synthesize methodological and theoretical developments in four major areas: regularization and sparse estimation, post‐selection inference, quantile modeling in complex data structures, and large‐scale analysis with dependent observations. The review highlights modern penalization techniqu
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