搜索结果: 1-12 共查到“quantile regression”相关记录12条 . 查询时间(0.062 秒)
Physical Activity and Pediatric Obesity: A Quantile Regression Analysis
ADOLESCENT ACCELEROMETRY ICAD BMI TELEVISION
2018/4/24
Purpose We aimed to determine whether moderate to vigorous physical activity (MVPA) and sedentary behavior (SB) were independently associated with body mass index (BMI) and waist circumference (WC) in...
IV QUANTILE REGRESSION FOR GROUP-LEVEL TREATMENTS, WITH AN APPLICATION TO THE DISTRIBUTIONAL EFFECTS OF TRADE
quantile regression instrumental variables
2015/7/21
We present a methodology for estimating the distributional e ects of an endogenous
treatment that varies at the group level when there are group-level unobservables, a quantile extension of Hausman a...
Quantile Regression for Large-scale Applications
Quantile Regression Large-scale Applications
2013/6/14
Quantile regression is a method to estimate the quantiles of the conditional distribution of a response variable, and as such it permits a much more accurate portrayal of the relationship between the ...
Model-free multiclass conditional probability estimation via quantile regression
interva lestimate multiclass classication probability estimation quantile regression tuning
2012/11/23
Conventional multiclass conditional probability estimation often requires distributional model assumptions such as Fisher's discriminate analysis and logistic regression. In this paper,a model-free es...
Asymptotics for penalized spline estimators in quantile regression
Asymptotic normality, B-spline,Penalized spline,Quantile regression
2012/11/22
Quantile regression predicts the $\tau$-quantile of the conditional distribution of a response variable given the explanatory variable for $\tau\in(0,1)$. The aim of this paper is to establish the asy...
Local Quantile Regression
local MLE excess bound propagation condition adaptive bandwidth selection.
2012/9/18
Quantile regression is a technique to estimate conditional quantile curves. It pro-vides a comprehensive picture of a response contingent on explanatory variables. In a exible modeling framework, a sp...
Censored quantile regression processes under dependence and penalization
quantile regression Bahadur representation variable selection weak convergence censored data dependent data
2012/9/18
We consider quantile regression processes from censored data under dependent data structures and derive a uniform Bahadur representation for those processes. We also consider cases where the dimension...
Estimating and Testing a Quantile Regression Model with Interactive Effects
quantile regression panel data interactive effects instrumental variables class size educational attainment
2012/10/22
This paper proposes a quantile regression estimator for a panel data model with interactive effects potentially correlated with the independent variables. We provide conditions under which the slope p...
Semiparametric Quantile Regression Estimation in Dynamic Models with Partially Varying Coefficients
Efficiency nonlinear time series partially linear partially varying coefficients quantile regression semiparametric
2011/4/1
We study quantile regression estimation for dynamic models with partially varying coefficients so that the values of some coefficients may be functions of informative covariates. Estimation of both pa...
Predicting marine phytoplankton maximum growth rates from temperature:Improving on the Eppley curve using quantile regression
marine phytoplankton maximum growth rates temperature:Improving the Eppley curve quantile regression
2014/4/21
The Eppley curve describes an exponential function that defines the maximum attainable daily growth rate of marine phytoplankton as a function of temperature. The curve was originally fitted by eye as...
主讲人
Joshua Angrist 教授
美国麻省理工学院
题目
Quantile RegressionUnderMisspecification, with an Application to the U.S. Wage Structure
时间
2005年4月20日（星期三）下午3:00-4:30
地点
北京大学中国经济研究中心致福轩教室
工作语言
英文
联系电话
62751475
Jos...
Quantile regression when the covariates are functions
Functional data analysis conditional quantiles B-spline functions roughness penalty
2010/4/27
This paper deals with a linear model of regression on quantiles
when the explanatory variable takes values in some functional space and the
response is scalar. We propose a spline estimator of the f...