Department of Mathematics and Statistics, University of North Carolina at Charlotte9201 University City Blvd, Charlotte, NC  28223-0001

http://www.math.uncc.edu/~jjiang1/mypictures/image001.jpg

  Dr. Jiancheng Jiang             

    Associate Professor 

   Office: Fretwell 350A     Phone: (704)6870631    FAX:   (704)6876415
 
  E-mail: jjiang1@uncc.edu       Homepage: http://www.math.uncc.edu/~jjiang1/

  

 

 

 

 

 

·        Teaching Assignments

·         Selected Publications

·        Conferences

 

       Positions

*      Associate Professor, July 2012 – Present:                       University of North Carolina at Charlotte, NC 28223

*      Assistant Professor, January 2007 – June 2012:              University of North Carolina at Charlotte, NC 28223

*      Research Staff, March 2006 - December 2006:               Princeton University, Princeton, NJ 08544

*      Postdoc, March 2004 - February 2006:                            University of North Carolina at Chapel Hill, NC 27599

*      Faculty, before  October 2005:                                         Peking University, Beijing 100871, China

 

       Visiting Experiences

§  Department of Management Sciences, City University of Hong Kong, China, 1997, 2000, 2001

§  Department of Statistics, University of  California at Berkeley, CA, USA, 1998 -1999 

§  Department of Statistics, The Chinese University of Hong Kong, China, 2001, 2002, 2003

§  Department of Statistics, University of North Carolina, Chapel Hill, 2003

 

       Current Research Directions

    • Financial Econometrics 
    • Semi- and Non- parametric Modeling
    • Regression Diagnostics
    • Robustness
    • Survival Analysis

 

Research Interests

Dr. Jiang is currently interested in statistical methods in biostatistics, financial econometrics, longitudinal data analysis, nonlinear time series, nonparametric modeling, among others.  He is enthusiastic in developing mathematical theory and providing fundamental insights to statistical inference which includes semi-parametric modeling and nonlinear function estimation. To solve problems from scientific research and practice, he devotes most of his efforts to the study of nonparametric approaches and illustrates them by simulations and real data examples.


Revised May 19, 2011

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