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Seongil Jo

4 papers hereh-index 8192 citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • math.ST1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedThe Beta-Mixture Shrinkage Prior for Sparse Covariances with Posterior Minimax Rates

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

stat.AP2021

Seroprevalence of SARS-CoV-2 antibodies in South Korea

Kwangmin Lee, Seongil Jo, Jaeyong Lee

In 2020, Korea Disease Control and Prevention Agency reported three rounds of surveys on seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies…

math.ST2021★ 3 cited

The Beta-Mixture Shrinkage Prior for Sparse Covariances with Posterior Minimax Rates

Kyoungjae Lee, Seongil Jo, Jaeyong Lee

Statistical inference for sparse covariance matrices is crucial to reveal dependence structure of large multivariate data sets, but lacks scalable and theoretically supported Bayes…

stat.ME2020

Robust Sparse Bayesian Infinite Factor Models

Jaejoon Lee, Jaeyong Lee

Most of previous works and applications of Bayesian factor model have assumed the normal likelihood regardless of its validity. We propose a Bayesian factor model for heavy-tailed…

stat.ME2017★ 1 cited

Multilevel Monte Carlo in Approximate Bayesian Computation

Ajay Jasra, Seongil Jo, David Nott +2

In the following article we consider approximate Bayesian computation (ABC) inference. We introduce a method for numerically approximating ABC posteriors using the multilevel Monte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.