statlearn.uos.ac.kr

About me

Statlearn.uos.ac.kr. My theoretical areas of interests include nonparametric function estimation, asymptotics, and statistical learning. I am also interested in statistical computing. Currently, my research is centered on statistical learning, particularly, feature selection for high dimension data and large scale learning algorithms. My applied areas of research include statistical applications in biology, environment, and engineering. I am also interested in interdisciplinary research o...

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Statlearn.uos.ac.kr. My theoretical areas of interests include nonparametric function estimation, asymptotics, and statistical learning. I am also interested in statistical computing. Currently, my research is centered on statistical learning, particularly, feature selection for high dimension data and large scale learning algorithms. My applied areas of research include statistical applications in biology, environment, and engineering. I am also interested in interdisciplinary research o...

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1 about me

2 lectures

3 publications

4 books

5 softwares

6 curriculum vitae

7 research interest

8 contact information

9 university of seoul

10 jeonnong dong 90

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About me | statlearn.uos.ac.kr Reviews

https://statlearn.uos.ac.kr

Statlearn.uos.ac.kr. My theoretical areas of interests include nonparametric function estimation, asymptotics, and statistical learning. I am also interested in statistical computing. Currently, my research is centered on statistical learning, particularly, feature selection for high dimension data and large scale learning algorithms. My applied areas of research include statistical applications in biology, environment, and engineering. I am also interested in interdisciplinary research o...

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statlearn.uos.ac.kr

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About me

http://statlearn.uos.ac.kr/index.html

Statlearn.uos.ac.kr. My theoretical areas of interests include nonparametric function estimation, asymptotics, and statistical learning. I am also interested in statistical computing. Currently, my research is centered on statistical learning, particularly, feature selection for high dimension data and large scale learning algorithms. My applied areas of research include statistical applications in biology, environment, and engineering. I am also interested in interdisciplinary research o...

2

Softwares

http://statlearn.uos.ac.kr/books.html

Statlearn.uos.ac.kr. 구자용 박창이 공저 (manuscript). 2009 Changyi Park, Department of Statistics.

3

Publications

http://statlearn.uos.ac.kr/publications.html

Statlearn.uos.ac.kr. A bolded name designates main / corresponding author. Kim, K. R., Myung, R., and Koo, J.-Y. 2012) Oracle properties of SCAD-penalized support vector machine. Journal of Statistical Planning and Inference. 2009) Convergence rates of generalization errors for margin-based classification. Journal of Statistical Planning and Inference. Koo, J.-Y., Lee, Y., Kim, Y. and Park, C. 2008) A Bahadur representation for the linear support vector machine. Journal of Machine Learning Research.

4

Softwares

http://statlearn.uos.ac.kr/softwares.html

Statlearn.uos.ac.kr. The software in R implements coarse classification methods including classification spline machine. CSM) and simulated annealing(SA). Written by JaeGu Yeo based on C code for CSM by Ja-Yong Koo and R function for SA by Changyi Park. ( package. The software in R implements the blockwise sparse Cox regression using the gradient projection algorithm. Written by Jinseog Kim. Available soon. Avaialbe at http:/ datamining.dongguk.ac.kr/Rlib/BSCR. Written by Hosik Choi. ( package.

5

Lectures

http://statlearn.uos.ac.kr/lectures.html

Statlearn.uos.ac.kr. Autumn Semester in 2016. Spring Semester in 2016. Data Mining and Lab. Sabattical Leave in 2015. Autumn Semester in 2014. Introduction to Statistics and Lab. Spring Semester in 2014. Programming Language and Lab. Data Mining and Lab. Autumn Semester in 2013. Advanced Calculus in Statistics. Spring Semester in 2013. Data Mining and Lab. Graduate: Advanced Statistical Programming. Autumn Semester in 2012. Special Topics in Statistics II: Bayesian Statistics. Spring Semester in 2012.

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About me

Statlearn.uos.ac.kr. My theoretical areas of interests include nonparametric function estimation, asymptotics, and statistical learning. I am also interested in statistical computing. Currently, my research is centered on statistical learning, particularly, feature selection for high dimension data and large scale learning algorithms. My applied areas of research include statistical applications in biology, environment, and engineering. I am also interested in interdisciplinary research o...

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