王德辉

职称:助理教授、博士生导师

毕业院校:澳门人威尼斯官方

email:wangdh@jlu.edu.cn

个人主页:

研究方向:经验似然、保险精算、时间序列分析

个人简介

王德辉,中共党员,教授,博士生导师,享受国务院政府津贴专家,长白山学者特聘教授,宝钢优秀教师奖获得者,教育部新世纪优秀人才,高等学校统计学类专业教学指导委员会委员,吉林省优秀教学团队带头人,吉林省第四批高级专家,吉林省高等学校首批学科领军教授、吉林省第四批拔尖创新人才第二层次人选,吉林省“第十二批有突出贡献的中青年专业技术人才”。

工作经历

1998.06——至今      澳门人威尼斯官方

1993.07——1998.05    吉林师范大学

教育经历

1988.09——2001.06    澳门人威尼斯官方  博士

1995.09——1998.06    澳门人威尼斯官方  硕士

1989.09——1993.06    吉林师范大学  本科

科研项目

[1]整数值时间序列在保险精算中的应用

[2]高频数据的非参数统计推断

[3]相依误差下时间序列模型推断的理论与方法研究

[4]时间序列分析在保险精算中的应用

[5]教育部新世纪优秀人才支持计划

[6]相依误差下时间序列模型的统计推断

[7]统计学教学团队与课程建设

[8]整数值时间序列建模与应用

[9]整数值时间序列数据的建模方法研究

[10]长白山学者特聘教授

[11]协变量驱动的自回归模型及其应用, 2018/01/01

[12]非平稳与高频时间序列模型的统计推断, 2018/01/01

[13]高频数据的非参数统计推断, 2016/01/01

论文选

[1] Conditional Heteroscedasticity Test for Poisson Autoregressive Model

[2] Test for parameter changes in generalized random coefficient autoregressive model

[3] On a perturbed MAP risk model under a threshold dividend strategy

[4] Regression analysis of multivariate panel count data with an informative observation process

[5] Variable selection and estimation for multivariate panel count data via the seamless-L0 penalty

[6] Coefficient constancy test in generalized random coefficient autoregressive model

[7] Empirical likelihood inference for partial linear models with ARCH(1) errors

[8] Statistical inference for generalized random coefficient autoregressive model

[9] Generalized RCINAR(1) Process with Signed Thinning Operator

[10] Risk Measure and Premium Distribution on Catastrophe Reinsurance

[11] Ruin problems for an autoregressive risk model with dependent rates of interest

[12] The limit theorem for dependent random variables with applications to autoregression models

[13] Empirical likelihood inference for random coefficient INAR(p) process

[14] Estimation and testing for a Poisson autoregressive model

[15] Empirical Likelihood for an Autoregressive Model with Explanatory Variables

[16]Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence

[17]The Empirical Likelihood for First-Order Random Coefficient Integer- Valued Autoregressive Processes

[18]Generalized RCINAR(p) Process with Signed Thinning Operator

[19]Mixture Normal Models in which the Proportions of Susceptibility are Related to Dose Levels

[20]A mixture integer-valued ARCH model

[21]Inference forINAR(p) processeswithsignedgeneralizedpowerseries thinning operator

[22]Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations

[23]Semiparametric estimation of regression functions in autoregressive models

[24]Local Estimation in AR Models with Nonparametric ARCH Errors

[25] Estimation of parameters in the NLAR(p) model

[26]First-order random coefficients integer-valued threshold autoregressive processes

[27]An integer-valued threshold autoregressive process based on negative binomial thinning

[28]Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes

[29]Threshold autoregression analysis for finiterange time series of counts with an application on measles data

[30]Regularized estimation in GINAR(p) process

[31]Analyzing the general biased data by additive risk model

[32]Analysis of Panel Count Data with Time-dependent Covariates and Informative Observation Process

[33]A note on the limiting properties of the least squares estimation for the random coefficient autoregressive model

[34]Estimation in autoregressive models with surrogate data and validation data

[35]Test for parameter changes in generalized random coefficient autoregressive model

[36]First-order mixed integer-valued autoregressive processes with zero-inflated generalized power series innovations

[37]Bidimensional discrete-time risk models based on bivariate claim count time series

[38]Empirical likelihood for linear and log-linear INGARCH models

[39]Effective Control Charts forMonitoring the NGINAR(1) Process

[40]Nonparametric comparison of recurrent event processes based on panel count data

[41]Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis

[42]Empirical likelihood inference for INAR(1) model with explanatory variables

[43]Bivariate zero truncated Poisson INAR(1) process

[44]Bayesian estimation for first-order autoregressive model with explanatory variables

[45]Estimation in a partially linear single-index model with missing response variables and error-prone covariates

[46]Estimation of parameters in the fractional compound Poisson process

[47]A Study for Missing Values in PINAR(1)T Processes

获奖情况

[1]吉林省教学成果奖

[2]学科领军教授

[3]吉林省自然科学学术成果奖

[4]长白山特聘教授

[5]吉林省高级专家

[6]宝钢优秀教师

[7]第十一届全国统计科学研究优秀成果奖

[8]政府特殊津贴

[9]自然科学奖二等奖

社会兼职

《中国化学快报》青年编委,吉林省化学会理事

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