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| 1 | Nonlinear Time Series Analysis Since 1990:Some Personal Reflections显示文摘Abstract I reflect upon the development of nonlinear time series analysis since 1990 by focusing on five majorareas of development. These areas include the interface between nonlinear time series analysis and chaos,thenonparametric/semiparametric approach,nonlinear state space modelling,financial time series and nonlinearmodelling of panels of time series. | Howel Tong | 2002 | Acta Mathematicae Applicatae Sinica2002，18，2： | 4 |
| 2 | Mdel Slection in Nnparametric and Smiparametric Tme Sries Rgression显示文摘 | Gao Jiti Howell Tong | 2003 | J R Statist Soc B2003，，： | 1 |
| 3 | A Review of the Pharmacokinetics and Pharmacodynamics of Remifentanil显示文摘 | Peter S. A. Glass Tong J. Gan Scott Howell | 1999 | Anesthesia & Analgesia (S Suppl)1999，，4： | 1 |
| 4 | A Review of the Pharmacokinetics and Pharmacodynamics of Remifentanil显示文摘 | Peter S. A. Glass Tong J. Gan Scott Howell | 1999 | Anesthesia & Analgesia (S Suppl)1999，，4： | 1 |
| 5 | An adaptive estimation of dimension reduction space 显示文摘 | Xia Yingcun Tong Howell Li W K | 2002 | Journal of the Royal Sta- tistical Society: Series B (Statistical Methodology)2002，64，3： | 1 |
| 6 | The Effect of the Interaction of Propofol and Alfentanil on Recall, Loss of Consciousness, and the Bispectral Index显示文摘 | Irene A. Iselin-Chaves Ron Flaishon Peter S. Sebel Scott Howell Tong Joo Gan Jeffrey Sigl Brian Ginsberg Peter S. A. Glass | 1998 | Anesthesia & Analgesia1998，，4： | 1 |
| 7 | A Review of the Pharmacokinetics and Pharmacodynamics of Remifentanil显示文摘 | Peter S. A. Glass Tong J. Gan Scott Howell | 1999 | Anesthesia & Analgesia (S Suppl)1999，，4： | 1 |
| 8 | Drug-induced granulo-matous interstitial nephritis in a pediatric patient显示文摘 | Tong JE Howell DN Foreman JW | 2007 | Pediatr Nephrol2007，22，2： | 1 |
| 9 | A Review of the Pharmacokinetics and Pharmacodynamics of Remifentanil显示文摘 | Peter S. A. Glass Tong J. Gan Scott Howell | 1999 | Anesthesia & Analgesia . 1999 (4S S)1999，，： | 1 |
| 10 | A Review of the Pharmacokinetics and Pharmacodynamics of Remifentanil显示文摘 | Peter S. A. Glass Tong J. Gan Scott Howell | 1999 | Anesthesia & Analgesia (S Suppl)1999，，4： | 1 |
| 11 | Efficient Estimation for Semivarying-coefficient Models显示文摘 | Xia Yingcun Zhang Wenyang Howell Tong | 2004 | Biometrika2004，91，3： | 1 |
| 12 | Model selection in nonparametric and semiparametric time series regression显示文摘 | JiTi Gao Howell Tong | 1999 | Statistics Infer Stochastic Processes1999，2，1： | 1 |
| 13 | Analyzing short time series data from periodically fluctuating rodent populations by thresholdmodels: A nearest block bootstrap approach显示文摘The study of the rodent fluctuations of the North was initiated in its modern form with Elton's pioneering work.Many scientific studies have been designed to collect yearly rodent abundance data,but the resulting time series are generally subject to at least two 'problems':being short and non-linear.We explore the use of the continuous threshold autoregressive(TAR) models for analyzing such data.In the simplest case,the continuous TAR models are additive autoregressive models,being piecewise linear in one lag,and linear in all other lags.The location of the slope change is called the threshold parameter.The continuous TAR models for rodent abundance data can be derived from a general prey-predator model under some simplifying assumptions.The lag in which the threshold is located sheds important insights on the structure of the prey-predator system.We propose to assess the uncertainty on the location of the threshold via a new bootstrap called the nearest block bootstrap(NBB) which combines the methods of moving block bootstrap and the nearest neighbor bootstrap.The NBB assumes an underlying finite-order time-homogeneous Markov process.Essentially,the NBB bootstraps blocks of random block sizes,with each block being drawn from a non-parametric estimate of the future distribution given the realized past bootstrap series.We illustrate the methods by simulations and on a particular rodent abundance time series from Kilpisjrvi,Northern Finland. | CHAN Kung-Sik TONG Howell STENSETH Nils Chr | 2009 | Science China Mathematics2009，52，6： | 0 |
| 14 | Rejoinder显示文摘We are grateful to Professors Peter Hall, W.K. Li and Guodong Li for their illuminating discussions. In particular, we thank Professor Hall for pointing out his earlier joint work with | CHAN Kung-Sik TONG Howell STENSETH Nils Chr | 2009 | Science China Mathematics2009，52，6： | 0 |
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