Showing results 1 to 31 of 31
A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data Kim, Sung-Ho, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.50, no.3, pp.611 - 641, 2006-02 |
A GENERAL PROPERTY AMONG NESTED, PRUNED SUBTREES OF A DECISION-SUPPORT TREE Kim, Sung-Ho, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.23, no.4, pp.1227 - 1238, 1994 |
A neighborhood method for statistical analysis of fMRI data Ahmad, Fayyaz; Ullah, Ghanim; Kim, Sung-Ho, Open Journal of Biophysics, v.2, no.1, pp.15 - 22, 2012-01 |
A note on collapsibility in DAG models of contingency tables Kim, Sung-Ho, SCANDINAVIAN JOURNAL OF STATISTICS, v.33, no.3, pp.575 - 590, 2006-09 |
A Short Note on Improvement of Agreement Rate Kim, Doyeob; Kim, Sung-Ho, JOURNAL OF CLASSIFICATION, v.37, no.3, pp.550 - 557, 2020-10 |
A shrinkage method for causal network detection of brain regions Ahmad, Fayyaz; Lee, Nam-Gil; Kim, Eun-Woo; Kim, Sung-Ho; Park, Hyun-Wook, INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.23, no.2, pp.140 - 146, 2013-06 |
A slice-wise latent structure regression method for the analysis of functional magnetic resonance imaging data Ahmad, Fayyaz; Chaudhary, Safee Ullah; Kim, Sung-Ho; Park, Hyun-Wook, CONCEPTS IN MAGNETIC RESONANCE PART A, v.42, no.4, pp.130 - 139, 2013-07 |
An improvement of FDR for edge detection by applying EM method Kim, Eun-Gyoung; Kim, Sung-Ho, INTELLIGENT DATA ANALYSIS, v.26, no.5, pp.1161 - 1184, 2022 |
An improvement on local FDR analysis applied to functional MRI data Lee, Namgil; Kim, Ah-Young; Park, Chang-Hyun; Kim, Sung-Ho, JOURNAL OF NEUROSCIENCE METHODS, v.267, pp.115 - 125, 2016-07 |
Array-Based Analysis of Secreted Glycoproteins for Rapid Selection of a Single Cell Producing a Glycoprotein with Desired Glycosylation Park, Sun-Young; Kim, Wan-Jung; Kim, Yong-Tae; Son, Young-Dok; Lee, Sang-Chul; Kim, Eun-Kyung; Kim, Sung-Ho; et al, ANALYTICAL CHEMISTRY, v.82, no.13, pp.5830 - 5837, 2010-07 |
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise Lee, Nam-Gil; Choi, Hyemi; Kim, Sung-Ho, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.101, pp.250 - 276, 2016-09 |
Bayesian approach to linear state space model with unknown measurement matrix Yoon, Wansang; Kim, Sung-Ho, INTELLIGENT DATA ANALYSIS, v.24, no.3, pp.689 - 704, 2020-05 |
Calibrated initials for an EM applied to recursive models of categorical variables Kim, Sung-Ho, COMPUTATIONAL STATISTICS DATA ANALYSIS, v.40, no.1, pp.97 - 110, 2002-07 |
Calibration and refinement for classification trees Fienberg, SE; Kim, Sung-Ho, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.70, no.2, pp.241 - 254, 1998-07 |
Combining conditional log-linear structures Fienberg, SE; Kim, Sung-Ho, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.94, no.445, pp.229 - 239, 1999-03 |
Comparison of Fitness and Popularity: Fitness-Popularity Dynamic Network Model Jung, Ho Hyun; Lee, Jae-Gil; Lee, Namgil; Kim, Sung-Ho, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v.2018, 2018-12 |
Conditional log-linear structures for log-linear modelling Kim, Sung-Ho, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.50, no.8, pp.2044 - 2064, 2006-04 |
Development of an item selection method for test-construction by using a relationship structure among abilities Kim, Sung-Ho; Jeong, Mi Sook; Kim, Jung Ran, JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.8, no.1, pp.193 - 207, 2001-04 |
Estimate-based goodness-of-fit test for large sparse multinomial distributions Kim, Sung-Ho; Choi, Hyemi; Lee, Sangjin, COMPUTATIONAL STATISTICS DATA ANALYSIS, v.53, no.4, pp.1122 - 1131, 2009-02 |
Expression profiling of proteins in L-threonine biosynthetic pathway of Escherichia coli by using antibody microarray Han, Min-Kyu; Hong, Mi-Young; Lee, Dohoon; Lee, Dong-Eun; Noh, Geon Youp; Lee, Jin-Ho; Kim, Sung-Ho; et al, PROTEOMICS, v.6, pp.5929 - 5940, 2006-11 |
Fluctuation of estimates in an EM procedure for categorical data Kim, Sung-Ho, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.75, no.12, pp.941 - 957, 2005-12 |
Hyper-EM for large recursive models of categorical variables Kim, Sung-Ho, COMPUTATIONAL STATISTICS DATA ANALYSIS, v.33, no.4, pp.401 - 424, 2000-06 |
Iterative proportional fitting for nonhierarchical log-linear models Kim, Sung-Ho, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.26, no.6, pp.1443 - 1460, 1997 |
Model Similarity and Rank-Order Based Classification of Bayesian Networks Kim, Sung-Ho; Noh, Geonyoup, JOURNAL OF CLASSIFICATION, v.30, no.3, pp.428 - 452, 2013-10 |
Positive association among three binary variables and cross-product ratios Fienberg, SE; Kim, Sung-Ho, BIOMETRIKA, v.94, no.4, pp.999 - 1005, 2007-12 |
Properties of Markovian subgraphs of a decomposable graph Kim, Sung-Ho, LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), v.4293 LNAI, no.0, pp.15 - 26, 2006 |
PTEM: A POPULARITY-BASED TOPICAL EXPERTISE MODEL FOR COMMUNITY QUESTION ANSWERING Jung, Hohyun; Lee, Jae-Gil; Lee, Namgil; Kim, Sung-Ho, ANNALS OF APPLIED STATISTICS, v.14, no.3, pp.1304 - 1325, 2020-09 |
Robust precision matrix estimation via weighted median regression with regularization Chun, Hyonho; Lee, Myung Hee; Kim, Sung-Ho; Oh, Jihwan, CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, v.46, no.2, pp.265 - 278, 2018-06 |
Searching model structures based on marginal model structures Kim, Sung-Ho; Sangjin Lee, NEW DEVELOPMENTS IN ROBOTICS AUTOMATION AND CONTROL, pp.355 - 376, 2008-10 |
Stochastic ordering and robustness in classification from a Bayesian network Kim, Sung-Ho, DECISION SUPPORT SYSTEMS, v.39, no.3, pp.253 - 266, 2005-05 |
Variable Selection for Artificial Neural Networks with Applications for Stock Price Prediction Kim, Gang-Hoo; Kim, Sung-Ho, APPLIED ARTIFICIAL INTELLIGENCE, v.33, no.1, pp.54 - 67, 2019-01 |
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