| 学术论文： |
[25]. Li, Q. and Zhu, F. (2018). Mean targeting estimator for the integer-valued GARCH(1,1) model. Statistical Papers, forthcoming. (SCI)
[24]. Cui, Y. and Zhu, F. (2018). A new bivariate integer-valued GARCH model allowing for negative cross-correlation. Test, forthcoming. (SCI)
[23]. Feng, S., Lian, H. and Zhu, F. (2016). Reduced rank regression with possibly non-smooth criterion functions: an empirical likelihood approach. Computational Statistics and Data Analysis, 103, 139-150. (SCI)
[22]. Li, Q., Lian, H. and Zhu, F. (2016). Robust closed-form estimators for the integer-valued GARCH(1,1) model. Computational Statistics and Data Analysis, 101, 209-225. (SCI)
[21]. Li, C., Wang, D. and Zhu, F. (2016). Effective control charts for monitoring the NGINAR(1) process. Quality and Reliability Engineering International, 32(3), 877-888. (SCI)
[20]. Zhu, F., Liu, S. and Shi, L. (2016). Local influence analysis for Poisson autoregression with an application to stock transaction data. Statistica Neerlandica, 70(1), 4-25. (SCI)
[19]. Zhu, F., Shi, L. and Liu, S. (2015). Influence diagnostics in log-linear integer-valued GARCH models. AStA Advances in Statistical Analysis, 99(3), 311-335. (SCI)
[18]. Zhu, F. and Wang, D. (2015). Empirical likelihood for linear and log-linear INGARCH models. Journal of the Korean Statistical Society, 44(1), 150-160. (SCI)
[17]. Ling, S., Peng, L. and Zhu, F. (2015). Inference for a special bilinear time series model. Journal of Time Series Analysis, 36(1), 61-66. (SCI)
[16]. Wang, Y., Wang, D. and Zhu, F. (2014). Estimation of parameters in the fractional compound Poisson process. Communications in Nonlinear Science and Numerical Simulation, 19(10), 3425-3430. (SCI)
[15]. Zhu, F., Cai, Z. and Peng, L. (2014). Predictive regressions for macroeconomic data. Annals of Applied Statistics, 8(1), 577-594. (SCI)
[14]. Feng, H., Peng, L. and Zhu, F. (2013). Interval estimation for a simple bilinear model. Statistics and Probability Letters, 83(10), 2152-2159. (SCI)
[13]. Zhu, F. (2012). Modeling time series of counts with COM-Poisson INGARCH models. Mathematical and Computer Modelling, 56(9-10), 191-203. (SCI)
[12] Zhang, H., Wang, D. and Zhu, F. (2012). Generalized RCINAR(1) process with signed thinning operator. Communications in Statistics-Theory and Methods, 41(10), 1750-1770. (SCI)
[11]. Zhu, F. (2012). Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models. Journal of Mathematical Analysis and Applications, 389(1), 58-71. (SCI)
[10]. Zhu, F. (2012). Zero-inflated Poisson and negative binomial integer-valued GARCH models. Journal of Statistical Planning and Inference, 142(4), 826-839. (SCI)
[9]. Zhang, H., Wang, D. and Zhu, F. (2011). Empirical likelihood inference for random coefficient INAR(p) process. Journal of Time Series Analysis, 32(3), 195-203. (SCI)
[8]. Zhu, F. and Wang, D. (2011). Estimation and testing for a Poisson autoregressive model. Metrika, 73(2), 211-230. (SCI)
[7]. Zhang, H., Wang, D. and Zhu, F. (2011). Empirical likelihood for first-order random coefficient integer-valued autoregressive processes. Communications in Statistics-Theory and Methods, 40(3), 492-509. (SCI)
[6]. Zhu, F. (2011). A negative binomial integer-valued GARCH model. Journal of Time Series Analysis, 32(1), 54-67. (SCI)
[5]. Zhu, F., Li, Q. and Wang, D. (2010). A mixture integer-valued ARCH model. Journal of Statistical Planning and Inference, 140(7), 2025-2036. (SCI)
[4]. Zhang, H., Wang, D. and Zhu, F. (2010). Inference for INAR(p) processes with signed generalized power series thinning operator. Journal of Statistical Planning and Inference, 140(3), 667-683. (SCI)
[3]. Zhu, F. and Wang, D. (2010). Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations. Computational Statistics and Data Analysis, 54(2), 496-508. (SCI)
[2]. Zhu, F. and Wang, D. (2008). Estimation of parameters in the NLAR(p) model. Journal of Time Series Analysis, 29(4), 619-628. (SCI)
[1]. Zhu, F. and Wang, D. (2008). Local estimation in AR models with nonparametric ARCH errors. Communications in Statistics-Theory and Methods, 37(10), 1591-1609. (SCI) |
