Hongchang Hu

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All published works
Action Title Year Authors
+ Geometric and statistical curvatures of the skew- <i>t</i> distributions and their application 2025 Qi Wu
Hongchang Hu
+ Penalized Lq-likelihood estimator and its influence function in generalized linear models 2024 Hongchang Hu
Mingqiu Liu
Zhen Zeng
+ PDF Chat Sequential Probabilistic Ratio Test for the Scale Parameter of the <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> </math>-Norm Distribution 2021 Huan Ren
Hongchang Hu
Zhen Zeng
+ Penalized Lq-likelihood estimators and variable selection in linear regression models 2020 Hongchang Hu
Zhen Zeng
+ PDF Chat Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors 2020 Yu Zhang
Xinsheng Liu
Yuncai Yu
Hongchang Hu
+ Pseudo-maximum likelihood estimators in linear regression models with fractional time series 2019 Hongchang Hu
Weifu Hu
Xinxin Yu
+ Weak consistency of M-estimator in linear regression model with asymptotically almost negatively associated errors 2019 Yu Zhang
Xinsheng Liu
Hongchang Hu
+ HYPOTHESIS TESTING IN LINEAR MODELS WITH MARKOV TYPE ERRORS 2018 Hui Yan
Hongchang Hu
+ PDF Chat Bahadur representations of M-estimators and their applications in general linear models 2018 Hongchang Hu
+ PDF Chat M-test in linear models with negatively superadditive dependent errors 2017 Yuncai Yu
Hongchang Hu
Ling Liu
Shouyou Huang
+ Weak linear representation of M-estimaton in GLMs with dependent errors 2016 Zhen Zeng
Hongchang Hu
+ Strong Consistency of $\pmb{M}$-estimation}}\in Linear Regression Model With AANA Errors 2016 Hongchang Hu
+ Asymptotic normality of DHD estimators in a partially linear model 2015 Hongchang Hu
Yu Zhang
Pan Xiong
+ PDF Chat Asymptotic normality of Huber-Dutter estimators in a linear EV model with AR(1) processes 2014 Hongchang Hu
Pan Xiong
+ PDF Chat Maximum likelihood estimators in linear regression models with Ornstein-Uhlenbeck process 2014 Hongchang Hu
Xiong Pan
Lifeng Xu
+ Asymptotic Normality of Wavelet Estimators in Semiparametric Regression Models $(\infty)$} Time Series Errors 2013 Hongchang Hu
+ Jackknifed Liu estimator in linear regression models 2013 Hongchang Hu
Yuhe Xia
+ Asymptotic Normality of HD Estimators for Linear Models with Functional Coefficient Autoregressive Processes 2013 XU Li-feng
Hongchang Hu
+ Asymptotic normality of Huber–Dutter estimators in a linear model with AR(1) processes 2012 Hongchang Hu
+ Asymptotic properties of wavelet estimators in a semiparametric regression model with censored data 2012 Hongchang Hu
Yuan Feng
+ Convergence rates of wavelet estimators in semiparametric regression models under NA samples 2012 Hongchang Hu
Li Wu
+ Method of weighted moments 2012 Hongchang Hu
+ PDF Chat Hypothesis Testing in Generalized Linear Models with Functional Coefficient Autoregressive Processes 2012 Lei Song
Hongchang Hu
Cheng Xiaosheng
+ WEAK CONVERGENCE RATES OF WAVELET ESTIMATORS IN A SEMIPARAMETRIC REGRESSION MODEL 2011 Hongchang Hu
+ ASYMPTOTIC NORMALITY OF SPLINE ESTIMATORS IN A SEMIPARAMETRIC REGRESSION MODEL WITH CENSORED DATA 2011 Hongchang Hu
Jie Zhang
+ Efficiency of a Liu-type estimator in semiparametric regression models 2010 Esra Akdeniz
Fikri Akdeniz
Hongchang Hu
+ Generalized ridge estimation of a semiparametric regression model 2010 Hongchang Hu
S.V. Chandrashekhar Rao
+ Equivalent theorems of the convergence between Ishikawa–Halpern iteration and viscosity approximation method 2010 Shuang Wang
Changsong Hu
Guoqing Chai
Hongchang Hu
+ PDF Chat QML Estimators in Linear Regression Models with Functional Coefficient Autoregressive Processes 2010 Hongchang Hu
+ Wavelet Estimation in Semiparametric Regression Models With Martingale Differences Time Series Errors 2010 Hongchang Hu
+ Moment Consistency of Wavelet Estimation in Semiparametric Regression Models 2010 Hongchang Hu
+ ALMOST UNBIASED RIDGE ESTIMATORS IN A SEMIPARAMETRIC REGRESSION MODEL 2009 Hongchang Hu
+ PDF Chat Strong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data* 2008 Hongchang Hu
+ ROBUST PENALIZED LEAST SQUARES ESTIMATION FOR A SEMIPARAMETRIC REGRESSION MODEL 2008 Hongchang Hu
+ Linear strong representative of M-estimators in semiparametric regression models 2008 Hongchang Hu
+ Strong Consistency of Wavelet Estimation in Semip Arametric Regression Models Under Brownian Motion Errors 2007 Hongchang Hu
+ Existence of quasi-maximum likelihood estimators in a semiparametric regression model with AR(1) time series errors 2006 Hongchang Hu
+ CUMULATIVE ESTIMATION IN SEMI-PARAMETRIC MODELS (NON-PARAMETRIC ESTIMATOR BASE FOR A GENERAL WEIGHT FUNCTION) 2005 Hongchang Hu
Haiyan Sun
+ CUMULATIVE ESTIMATION IN SEMI-PARAMETRIC MODELS (NON-PARAMETRIC ESTIMATOR BASE FOR A GENERAL WEIGHT FUNCTION) 2005 Hongchang Hu
Haiyan Sun
+ Ridge estimation of a semiparametric regression model 2004 Hongchang Hu
+ Deducing and Estimating Nonparametric Signal in Semiparametric Regression Model──Method of Cubic Splines Interpolation 2004 Hongchang Hu
+ Stably Convergence in Distribution About Wavelet Estimation in Semiparametric Regression Model——The Martingale Difference Error Sequence Case 2003 Hongchang Hu
Sun Hai-yan
+ Two Steps Estimator of Semiparametric Regression Model --Difference and Spline Function Method 2002 Hongchang Hu
Sun Hai-yan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat M-estimation of linear models with dependent errors 2007 Wei Biao Wu
9
+ PDF Chat Convergence Rates for Parametric Components in a Partly Linear Model 1988 Hung Chen
8
+ Asymptotics of regressions with stationary and nonstationary residuals 2003 Ross Maller
8
+ Asymptotic normality of Huber–Dutter estimators in a linear model with AR(1) processes 2012 Hongchang Hu
6
+ PDF Chat Time Series: Theory and Methods 1992 Eric R. Ziegel
Peter J. Brockwell
Richard A. Davis
6
+ PDF Chat QML Estimators in Linear Regression Models with Functional Coefficient Autoregressive Processes 2010 Hongchang Hu
5
+ On asymptotics of t-type regression estimation in multiple linear model 2004 Hengjian Cui
5
+ Consistency of LS estimates of multiple regression under a lower order moment condition 1995 Xiru Chen
5
+ A new stochastic mixed ridge estimator in linear regression model 2008 Yalian Li
Hu Yang
5
+ Ridge estimation of a semiparametric regression model 2004 Hongchang Hu
5
+ Kernel Smoothing in Partial Linear Models 1988 Paul L. Speckman
5
+ Semiparametric Estimates of the Relation between Weather and Electricity Sales 1986 Robert F. Engle
Clive W. J. Granger
John Rice
Andrew Weiss
4
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 1970 Arthur E. Hoerl
Robert W. Kennard
4
+ Moderate deviations for M-estimators in linear models with ϕ-mixing errors 2011 Jun Fan
4
+ PDF Chat A central limit theorem for quadratic forms in strongly dependent linear variables and its application to asymptotical normality of Whittle's estimate 1990 Liudas Giraitis
Đ”ĐŸĐœĐ°Ń‚Đ°Ń СургаĐčлОс
4
+ Consistency and normality of Huber-Dutter estimators for partial linear model 2008 Xingwei Tong
Hengjian Cui
Peng Yu
4
+ Wavelet Methods for Curve Estimation 1994 Anestis Antoniadis
GĂ©rard Gregoire
Ian W. McKeague
4
+ Robust estimators in semiparametric partly linear regression models 2003 Ana M. Bianco
Graciela Boente
4
+ PDF Chat Generalized $M$-Estimators for Errors-in-Variables Regression 1992 Chi-Lun Cheng
John W. Van Ness
4
+ Least squares estimation of linear regression models for convex compact random sets 2007 Gil González‐Rodríguez
Ángela Blanco
Norberto Corral
Ana Colubi
4
+ PDF Chat Strong Consistency of Least Squares Estimates in Normal Linear Regression 1976 T. W. Anderson
John B. Taylor
3
+ Robust Statistics 2009 Peter J. Huber
Elvezio Ronchetti
3
+ PDF Chat Asymptotic Behavior of Robust Estimators of Regression and Scale Parameters with Fixed Carriers 1985 Mervyn J. Silvapulle
3
+ Quadratic Negligibility and the Asymptotic Normality of Operator Normed Sums 1993 Ross Maller
3
+ Partially Linear Models 2000 Wolfgang Karl HĂ€rdle
Hua Liang
Jiti Gao
3
+ Necessary and sufficient conditions for consistency of M-estimates in regression models with general errors 2000 Alain Berlinet
Friedrich Liese
Igor Vajda
3
+ A paradox in least-squares estimation of linear regression models 1999 Zhidong Bai
Meihui Guo
3
+ PDF Chat Robust Statistics, 2nd edn 2011 Kuldeep Kumar
3
+ On Koul's minimum distance estimators in the regression models with long memory moving averages 2003 Linyuan Li
3
+ PDF Chat Negative Association of Random Variables with Applications 1983 Kumar Joag‐Dev
Frank Proschan
3
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 2000 Arthur E. Hoerl
Robert W. Kennard
3
+ PDF Chat Strong representations for LAD estimators in linear models 1989 G. Jogesh Babu
3
+ Functional coefficient autoregressive models for vector time series 2005 Jane L. Harvill
Bonnie K. Ray
2
+ PDF Chat The Limiting Distribution of the Serial Correlation Coefficient in the Explosive Case 1958 John S. White
2
+ PDF Chat The Adaptive Lasso and Its Oracle Properties 2006 Hui Zou
2
+ Asymptotic normality in partial linear models based on dependent errors 2008 Han‐Ying Liang
Bing‐Yi Jing
2
+ Penalized Likelihood-type Estimators for Generalized Nonparametric Regression 1996 Dennis D. Cox
Finbarr O’Sullivan
2
+ PDF Chat Inference for Linear Models with Dependent Errors 2012 Zhou Zhou
Xiaofeng Shao
2
+ Local asymptotic mixed normality for discretely observed non-recurrent Ornstein–Uhlenbeck processes 2010 Yasutaka Shimizu
2
+ Estimation of the dependence parameter in linear regression with long-range-dependent errors 1997 Liudas Giraitis
Hira L. Koul
2
+ M-estimation of multivariate linear regression parameters under a convex discrepancy function 1992 Zhidong Bai
C. Radhakrishna Rao
Yuehua Wu
2
+ A Note on Regression When There is Extraneous Information About One of the Coefficients 1953 J. Durbin
2
+ PDF Chat Fractal Time Series—A Tutorial Review 2009 Ming Li
2
+ Nonlinear wavelet smoothing of error density in a semiparametric regression model 1999 Genxiang Chai
Kejun Xu
2
+ PDF Chat Robust estimators for generalized linear models 2013 Marina Valdora
Vı́ctor J. Yohai
2
+ On an autoregressive model with time-dependent coefficients 1986 Gea Hwa Kwoun
Yoshihiro Yajima
2
+ A new biased estimator based on ridge estimation 2006 Sadullah Sakallıoğlu
Selahattin Kaçıranlar
2
+ Bridge estimation for generalized linear models with a diverging number of parameters 2010 Mingqiu Wang
Lixin Song
Xiaoguang Wang
2
+ PDF Chat The Central Limit Theorem for LS Estimator in Simple Linear EV Regression Models 2007 Yu Miao
Guangyu Yang
Luming Shen
2
+ A connection between supermodular ordering and positive/negative association 2003 Tasos C. Christofides
Eutichia Vaggelatou
2