一、主讲人：Carlos Brunet Martins-Filho
二、时间：2017年6月6日(周二)14:30-16:00
三、地点：南校区院系楼301
四、主办单位：人事处、教师发展中心
承办单位：经济贸易学院
五、讲座内容简介：
Classical Econometric theory on inferenceand testing has been built for statistical models with finite-dimensionalparameter. This theory is very well developed and has proven extremely usefulfor empir-ical modeling in Economics and other disciplines.
However, in the last three decades,econometricians and statisticians have come to recognize that it is ofteninadequate to assume that data generating processes of interest can be fully orpartially described by a finite-dimensional parameter. This has lead to theemergence of a growing literature on the specification and estimation ofstatistical models where the parameters of interest are functions or infinitedimensional vectors, commonly known as nonparametric models. In this seminar,we present an overview of the most salient developments in the specificationand estimation of nonparametric models of density, distribution and regression.The presentation compares the two modeling approaches, highlights differencesin estimation and inference and discusses current deficiencies in the generaltheory of nonparametric estimation and inference.
六、主讲人简介：
Carlos Brunet Martins-Filho
Degrees:
•Ph.D.,Economics, University of Tennessee, USA, 1992.
•M.A.,Economics, University of Tennessee, USA, 1991.
•B.S.,Economics, Universidade Federal do Ceará, Brazil,1988.
•Researchinterests: Econometrics, Statistics.
Current positions:
•August, 2009- present: Professor, Department of Economics, University of Colorado atBoulder, USA.
•April, 2017- present: Professor (affiliate), Department of Applied Mathematics, Universityof Colorado at Boulder, USA.
•December,2008 - present: Senior Research Fellow, International Food Policy ResearchInstitute, Wash-ington D.C., USA.。
七、报名方式：
请登录教师发展中心官方网站活动报名地址http://ctdapply.gdufs.edu.cn/进行网上在线报名。（首次登录，需要进行账户注册，可凭此账号查看报名相关情况，并参加教师发展中心其它活动。）请有兴趣参加本次讲座的老师于6月6日（周二）10:00以前报名，如有疑问，请致电教师发展中心，联系电话：36641382（短号：2382）。
人事处、教师发展中心
经济贸易学院
2017年5月23日
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