Seonghyun Jeong

Works (6)

Updated: July 5th, 2023 15:36
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2021 journal article

Posterior contraction in sparse generalized linear models

BIOMETRIKA, 108(2), 367–379.

By: S. Jeong* & S. Ghosal  n

co-author countries: Korea (Republic of) 🇰🇷 United States of America 🇺🇸
author keywords: Fractional posterior; Generalized linear model; High-dimensional regression; Posterior contraction rate; Sparsity-inducing prior
Source: Web Of Science
Added: July 12, 2021

2021 journal article

Unified Bayesian theory of sparse linear regression with nuisance parameters

ELECTRONIC JOURNAL OF STATISTICS, 15(1), 3040–3111.

By: S. Jeong* & S. Ghosal  n

co-author countries: Korea (Republic of) 🇰🇷 United States of America 🇺🇸
author keywords: Bernstein-von Mises theorems; High-dimensional regression; Model selection consistency; Posterior contraction rates; Sparse priors
Source: Web Of Science
Added: June 28, 2021

2020 journal article

Bayesian linear regression for multivariate responses under group sparsity

BERNOULLI, 26(3), 2353–2382.

By: B. Ning *, S. Jeong* & S. Ghosal  n

co-author countries: United States of America 🇺🇸
author keywords: Bayesian variable selection; covariance matrix; group sparsity; multivariate linear regression; posterior contraction rate; Renyi divergence; spike-and-slab prior
Source: Web Of Science
Added: May 18, 2020

2019 journal article

Emerging procurement technology: data analytics and cognitive analytics

INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 49(10), 972–1002.

By: R. Handfield n , S. Jeong* & T. Choi *

co-author countries: Norway 🇳🇴 United States of America 🇺🇸

Contributors: R. Handfield n , S. Jeong* & T. Choi *

Sources: Web Of Science, ORCID
Added: December 16, 2019

2018 journal article

Analysis of Poisson varying-coefficient models with autoregression

Statistics, 52(1), 34–49.

By: T. Park * & S. Jeong n

co-author countries: Korea (Republic of) 🇰🇷 United States of America 🇺🇸
Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

Analysis of binary longitudinal data with time-varying effects

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 112, 145–153.

By: S. Jeong n, M. Park * & T. Park *

co-author countries: Korea (Republic of) 🇰🇷 United States of America 🇺🇸
author keywords: Longitudinal data; Probit mixed model; Nonparametric regression; Partial collapse; Repeated measures
Source: Web Of Science
Added: August 6, 2018