• 656 Citations
  • 13 h-Index
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Fingerprint Dive into the research topics where Taeyoung Park is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Abdominal Aortic Aneurysm Medicine & Life Sciences
Gibbs Sampler Mathematics
Astrophysics Mathematics
High Energy Mathematics
Gibbs Sampling Mathematics
Aneurysm Medicine & Life Sciences
Bayesian Analysis Mathematics
Endoleak Medicine & Life Sciences

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Research Output 2005 2019

  • 656 Citations
  • 13 h-Index
  • 30 Article
  • 2 Chapter
  • 1 Conference contribution

Efficient and flexible model-based clustering of jumps in diffusion processes

Kang, B. & Park, T., 2019 Sep 1, In : Journal of the Korean Statistical Society. 48, 3, p. 439-453 15 p.

Research output: Contribution to journalArticle

Model-based Clustering
Diffusion Process
Time Series Data
Jump-diffusion Process

Partially collapsed Gibbs sampling for latent Dirichlet allocation

Park, H., Park, T. & Lee, Y. S., 2019 Oct 1, In : Expert Systems with Applications. 131, p. 208-218 11 p.

Research output: Contribution to journalArticle

Learning systems
2 Citations (Scopus)

Analysis of Poisson varying-coefficient models with autoregression

Park, T. & Jeong, S., 2018 Jan 2, In : Statistics. 52, 1, p. 34-49 16 p.

Research output: Contribution to journalArticle

Varying Coefficient Model
Poisson Model
Regression Coefficient
3 Citations (Scopus)

Analysis of binary longitudinal data with time-varying effects

Jeong, S., Park, M. & Park, T., 2017 Aug 1, In : Computational Statistics and Data Analysis. 112, p. 145-153 9 p.

Research output: Contribution to journalArticle

Binary Data
Longitudinal Data
Regression Coefficient
Time-varying Coefficients
2 Citations (Scopus)

Bayesian variable selection in Poisson change-point regression analysis

Min, S. & Park, T., 2017 Mar 16, In : Communications in Statistics: Simulation and Computation. 46, 3, p. 2267-2282 16 p.

Research output: Contribution to journalArticle

Change-point Analysis
Bayesian Variable Selection
Regression Analysis
Regression analysis

Press / Media