Jin, Ick Hoon [CV]

 

Postdoctoral Fellow, Department of Biostatistics, University of Texas MD Anderson Cancer Center.


 

 

  Contact Information

 

  Research Interest

 

  Presentation

  Address:  University of Texas, MD Anderson Cancer Center

 

  - (ADAPTIVE) MARKOV CHAIN MONTE CARLO

 

01. Bayesian Analysis for ERGMs Using the DMH Sampler

     1400 Pressler Street, Unit Number 1411

 

  (Inferences for Models with Intractable Normalizing Constants)

 

  at Interface 2010, Seattle, WA, Jun., 2010. [PPT]

     Houston, TX, 77030-4009

 

  (Applications of SAMC Method to other areas)

 

 

  Phone :  713-794-1331

 

  - STATISTICAL ANALYSIS FOR NETWORK DATA

 

02. Use of SAMC for Bayesian Analysis of Statistical Models with

  E-M@IL: IJin@mdanderson.org (Primary)

 

  (Estimation of Exponential Random Graph Models (ERGMs))

 

  Intractable Normalizing Constant at JSM 2010, Vancouver, BC,

               kentjin@stat.tamu.edu, kentjin@gmail.com

 

  (Model Selection, Missing Edge Imputation, Clustering)

 

  Aug., 2010. [PPT]

 

 

  - BAYESIAN ADAPTIVE CLINICAL TRIALS

 

03. Bayesian Analysis of Statistical Models with Intractable

  Employment

 

  (Bayesian Phase I/II Clinical Trial in Oncology Problem)

 

  Normalizing Constants at MD Anderson Cancer Center, TX,

  2011. 08 - Current

 

  - HIDDEN MARKOV MODELS

 

  Feb., 2011. [PPT]

  University of Texas, MD Anderson Cancer Center

 

  (Bayesian Selection of Hidden Markov Random Fields)

 

04. Fitting ERGMs Using Stochastic Approximation MCMC Algorithms

  Postdoctoral Fellow, Department of Biostatistics

 

 

 

  with Trajectory Averaging at Complex Network Transition

  TOPIC: Bayesian Phase I/II Clinical Trial in Oncology Problems

 

  Publication

 

  Workshop, SAMSI, Research Park, NC, Jun., 2011. [POSTER]

  ADVISOR: Professor Ying Yuan

 

01. JIN and LIANG (2009) Bayesian analysis for ERGMs using the

 

05. Fitting ERGMs Using Stochastic Approximation MCMC Algorithms

 

 

  double Metropolis-Hasting algorithm. [PDF]

 

  with Trajectory Averaging at JSM 2011, Miami Beach, FL,

  Education

 

  (IAMCS Technical Report 2009-097, Texas A&M University)

 

  Aug., 2011. [PPT]

  2006. 09 - Current

 

02. LIANG and JIN (2010) A Monte Carlo Metropolis-Hasting

 

 
  Texas A&M University, College Station, TX

 

  algorithm for sampling from distribution with intractable

 

  Teaching Experience
  PH.D. STATISTICS,  ADVISOR: Faming Liang

 

  normalizing constants. (Submitted to JASA)

 

  INSTROCTOR: 2009 SUMMER - 2010 SPRING

  THESIS: Statistical Inference for Models with Intractable

 

03. JIN and LIANG (2010) Fitting ERGMs using stochastic approx.

 

  GRADER: 2006 FALL - 2009 SPRING, 2010 FALL - 2011 SUMMER

     Normalizing Constants

 

  MCMC algorithms with trajectory averaging.

 

 

  2004. 03 - 2006. 02

 

  (Under Revision, JCGS)

 

  LINK

  Yonsei University, Seoul, Republic of Korea

 

04. JIN and LIANG (2010) Use of SAMC for Bayesian analysis of

 

  Portal: Daum, Naver, Yahoo, NATE

  MA. APPLIED STATISTICS

 

  statistical models with intractable normalizing constants.

 

  News: Ohmynews, Hankyoreh, Pressian

  1997. 03 - 2004. 02

 

  (Submitted to Electronic Journal of Statistics)

 

  Mail: G-M@IL,  STAT.TAMU.EDU

  Yonsei University, Seoul, Republic of Korea

 

05. JIN and LIANG (2011) An adaptive exchange Monte Carlo

 

  Search Engine:  Google, Wikipedia, Library

  BA. BUSINESS ADMINISTRATION, APPLIED STATISTICS

    algorithm with applications to spatial data analysis.    

 

 

  (Working Paper)