Daeyoung Kim, Ph. D.                             

 

                                    Associate Professor

                     Department of Mathematics and Statistics

                     Lederle Graduate Research Tower 1236

                              University of Massachusetts

                              Amherst, MA 01003-9305

                               Phone : (413) 577-0255

                                   Fax : (413) 545-1801

                         Email : daeyoung@math.umass.edu

   

    

 

 

 

 

Education

 

Ph. D. Statistics, Department of Statistics, The Pennsylvania State University, University Park, PA, 2008

 

  Advisor: Bruce G. Lindsay

  Dissertation title: Mixture inference at the edge of identifiability

 

M.S. Statistics, Department of Statistics, Korea University, Seoul, Republic of Korea, 2002

 

B.S. Statistics, Department of Statistics, Korea University, Seoul, Republic of Korea, 2000

 

 

Research interests

 

Mixture modeling inference in heterogeneous data

Statistical dependence using copulas

Statistical methods to estimate multidimensional inference functions

Likelihood inference in incompletely observed categorical data

Interdisciplinary research on food science and environmental engineering

 

 

 

 

 

Publications

 

[33] Zheng Wei and Daeyoung Kim (2017). Subcopula-based measure of asymmetric association for contingency tables. Accepted at Statistics in Medicine.

[32] Seongyong Kim and Daeyoung Kim (2017). Assessment of nonignorable log-linear models for an incomplete contingency table. Statistica Sinica, DOI: 10.5705/ss.202015.0472.

[31] Zheng Wei, Daeyoung Kim, Tonghui Wang and Teerawut Teetranont (2017). A multivariate generalized FGM copulas and its application to multiple regression. In Robustness in Econometrics, Kreinovich, Vladik and Sriboonchitta, Songsak and Huynh, Van-Nam, eds. Springer International Publishing, pp. 363--378.

[30] Weicang Wang, Jun Yang, Weipeng Qi, Haixia Yang, Chang Wang, Bowen Tan, Bruce D. Hammock, Yeonhwa Park, Daeyoung Kim, and Guodong Zhang (2017). Lipidomic profiling of high-fat diet-induced obesity in mice: importance of cytochrome P450-derived fatty acid epoxides. Obesity, 25, 132-140.

[29] Weicang Wang, Jun Yang, Haixia Yang, Katherine Sanidad, Bruce Hammock, Daeyoung Kim, Guodong Zhang (2016). Effects of high-fat diet on plasma profiles of eicosanoid metabolites in mice. Prostaglandins Other Lipid Mediat, 127:9-13.

[28] Quancai Sun, Xiao Xiao, Yoo Kim, Daeyoung Kim, Kyoon Sup Yoon, John M, Clark, and Yeonhwa Park (2016). Imidacloprid promotes high-fat diet induced adiposity and insulin resistance in male C57BL/6J mice. Journal of Agricultural and Food Chemistry, 64, 9293--9306

[27] Yoo Kim, Daeyoung Kim, and Yeonhwa Park (2016). Conjugated linoleic acid (CLA) promotes endurance capacity via peroxisome proliferator-activated receptor delta-mediated mechanism in mice. Journal of Nutritional Biochemistry, 38, 125--133

[26] Yoo Kim, Daeyoung Kim, Deborah J. Good, and Yeonhwa Park (2016). Conjugated linoleic acid (CLA) influences muscle metabolism via stimulating mitochondrial biogenesis signaling in adult-onset inactivity induced obese mice. European Journal of Lipid Science and Technology, 118, 1305--1316

[25] Zheng Wei, Seongyong Kim and Daeyoung Kim (2016). Multivariate Skew Normal Copula for Non-exchangeable Dependence. Procedia Computer Science, 91, 141--150

[24] Seongyong Kim and Daeyoung Kim (2016). Directional dependence analysis using skew-normal copula-based regression. In Statistics and Causality: Methods for Applied Empirical Research, Wolfgang Wiedermann and Alexander von Eye, eds. Hoboken, NH: Wiley, pp. 131-152.

[23] Mark Hagemann, Daeyoung Kim and Mi-Hyun Park (2016). Estimating nutrient and organic carbon loads to water-supply reservoir using semiparametric models. ASCE Journal of Environmental Engineering} , 142 (8), DOI: 10.1061/(ASCE)EE.1943-7870.0001077.

[22] Weicang Wang, Zheyuan Du, Yoshiki Nimiya, Elvira Sukamtoh, Daeyoung Kim, and Guodong Zhang (2016). Allicin inhibits lymphangiogenesis through suppressing activation of vascular endothelial growth factor (VEGF) receptor. Journal of Nutritional Biochemistry, 29, 83--89

[21] Zheng Wei, Tonghui Wang, and Daeyoung Kim (2016). Multiple Copula Regression Function and Directional Dependence Under Multivariate Non-exchangeable Copulas. In Causal Inference in Econometrics, Van-Nam Huynh, Vladik Kreinovich and Songsak Sriboonchitta, eds. Springer International Publishing, pp. 171--184

[20] Yoo Kim, Daeyoung Kim, Deborah J. Good, and Yeonhwa Park (2015). Effects of Postweaning Administration of Conjugated Linoleic Acid on Development of Obesity in Nescient Basic Helix-Loop-Helix 2 Knockout Mice. Journal of Agricultural and Food Chemistry, 63 (21), 5212--5223

[19] Seongyong Kim, Yousung Park and Daeyoung Kim (2015). On missing-at-random mechanism in two-way incomplete contingency tables. Statistics & Probability Letters, 96, 196--203

[18] Xiao Xiao, Jonggun Kim, Quancai Sun, Daeyoung Kim, Cheon-Seok Park, Tzong-Shi Lu, and Yeonhwa Park (2015). Preventive effects of cranberry products on experimental colitis induced by dextran sulphate sodium in mice. Food Chemistry, 167, 438--446

[17] Yousung Park, Daeyoung Kim and Seongyong Kim (2014). Identification of the Occurrence of Boundary Solutions in a Contingency Table with Nonignorable Nonresponse. Statistics & Probability Letters, 93, 34--40

[16] Daeyoung Kim and Bruce G. Lindsay (2015). Empirical Identifiability in Finite Mixture Models. Annals of the Institute of Statistical Mathematics, 67, 745--772

[15] Daeyoung Kim and Byungtae Seo (2014). Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers. Journal of Multivariate Analysis 125, 100--120.

[14] Daeyoung Kim and Jong-Min Kim (2014). Analysis of Directional Dependence using Asymmetric Copula-based Regression Models. Journal of Statistical Computation and Simulation 84, 1990--2010

[13] Daeyoung Kim, Jong-Min Kim, Shu-Min Liao and Yoon-Sung Jung (2013). Mixture of D-vine Copulas for Modeling Dependence. Computational Statistics & Data Analysis 64, 1--19.

[12] Yooheon Park, Jonggun Kim, Angus G. Scrimgeour, Michelle L. Condlin, Daeyoung Kim and Yeonhwa Park (2013). Conjugated Linoleic Acid and Calcium Co-Supplementation Improves Bone Health in Ovariectomized Mice. Food Chemistry 140:280-288.

[11] Jun Ho Kim, Yooheon Park, Daeyoung Kim, Deborah J. Good, Yeonhwa Park (2012). Dietary Conjugated Nonadecadienoic Acid Prevents Adult-Onset Obesity in Nescient Basic Helix-Loop-Helix 2 Knockout Mice. Journal of Nutritional Biochemistry 24:556-566.

[10] Byungtae Seo and Daeyoung Kim (2012). Root Selection in Normal Mixture Models. Computational Statistics & Data Analysis 56(8), 2454--2470.

[9] Yousung Park, Daeyoung Kim and Seongyong Kim (2012). Robust Regression Using Data Partitioning and M-Estimation. Communications in Statistics - Simulation and Computation 41, 1282--1300.

[8] Jun Ho Kim, Yooheon Park, Daeyoung Kim and Yeonhwa Park (2012). Dietary Influences on Physical Activity and Energy Expenditure in C57BL/6J Mice. Journal of Food Science 77(2):H63-H68.

[7] Daeyoung Kim and Bruce G. Lindsay (2011). Modal Simulation and Visualization in Finite Mixture Models. The Canadian Journal of Statistics 39(3), 421--437.

[6] Daeyoung Kim and Bruce G. Lindsay (2011). Comparing Wald and likelihood regions, with application to locally identifiable mixture models. In Mixture estimation and applications, K. L. Mengersen, C. P. Robert & D. M. Titterington, eds. New York: John Wiley & Sons, pp. 77--100.

[5] Daeyoung Kim and Bruce G. Lindsay (2011). Using Confidence Distribution Sampling to Visualize Confidence Sets. Statistica Sinica 21(2), 923--948.

[4] Bo-Seung Choi, Daeyoung Kim, KeeWhwan Kim, YouSung Park (2008). Nonignorable Nonresponse Imputation and Rotation Group Bias Estimation on the Rotation Sample Survey. The Korean Journal of Applied Statistics 21(3), 361--375.

[3] Trent Gaugler, Daeyoung Kim and Shu-Min Liao (2007). Comparing Two Survival Time Distributions: An Investigation of Several Weight Functions for the Weighted Logrank Statistic. Communications in Statistics - Simulation and Computation 36(2), 423-435.

[2] Hyuncheol Kang and Daeyoung Kim (2001). A Note on the Multiple Comparison Methods Adjusting p-values in Repeated Measurement Data. The Applied Statistics by The Institute of Statistics of Korea University 16, 13-26.

[1] Daeyoung Kim, HaeJung Moon and DooWoon Yoon (1999). A Study of Export/Import and Economic Growth. Journal of The Korean Official Statistics 4(2), 103-134.

 

 

 

 

 

 

 

 

Teaching

 

Stat 725 - Fall 2016

Stat 697TS: Time Series Analysis and Applications - Spring 2017, Spring 2014, Spring 2013

Stat 697R: Regression Analysis - Fall 2015, Fall 2014, Fall 2013

Stat 608: Mathematical Statistics II - Spring 2012, Spring 2011

Stat 607: Mathematical Statistics I - Fall 2017, Fall 2011, Fall 2010

Stat 525(505): Regression Analysis - Spring2017, Fall 2015, Fall 2014, Fall 2013, Fall 2009

Stat 516: Statistics II - Spring 2015, Spring 2012, Spring 2010, Spring 2009

Stat 515: Statistics I - Spring 2010, Spring 2009, Fall 2008

 

 

Statistics Resources

 

  • Statistical Science Web Main Journal List
  • Statistics Virtual Library
  • StatLib (Carnegie Mellon University)
  • Virtual Lab in Statistics (Rice University)
  • Current Index to Statistics