A simple test of changes in mean in the possible presence of long‐range dependence
暂无分享,去创建一个
[1] Laura Mayoral. Testing for Fractional Integration Versus Short Memory with Structural Breaks* , 2012 .
[2] R. Bass,et al. Review: P. Billingsley, Convergence of probability measures , 1971 .
[3] X. Shao,et al. A self‐normalized approach to confidence interval construction in time series , 2010, 1005.2137.
[4] Laura Mayoral. Testing for Fractional integration versus short memory with trends and structural breaks , 2010 .
[5] Zhongjun Qu,et al. A Test Against Spurious Long Memory , 2009 .
[6] A. Aue,et al. ON DISTINGUISHING BETWEEN RANDOM WALK AND CHANGE IN THE MEAN ALTERNATIVES , 2009, Econometric Theory.
[7] X. Shao,et al. Confidence intervals for spectral mean and ratio statistics , 2009 .
[8] M. D. Martínez-Miranda,et al. Computational Statistics and Data Analysis , 2009 .
[9] Lihong Wang. Change-in-mean problem for long memory time series models with applications , 2008 .
[10] Jeffrey R. Russell,et al. True or Spurious Long Memory? A New Test , 2008 .
[11] Lihong Wang. Gradual changes in long memory processes with applications , 2007 .
[12] Wei Biao Wu,et al. Inference of trends in time series , 2007 .
[13] Wei Biao Wu,et al. LOCAL WHITTLE ESTIMATION OF FRACTIONAL INTEGRATION FOR NONLINEAR PROCESSES , 2007, Econometric Theory.
[14] Katsumi Shimotsu,et al. Simple (but effective) tests of long memory versus structural breaks , 2006 .
[15] Pierre Perron,et al. An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts , 2006 .
[16] A. Philippe,et al. A TEST FOR STATIONARITY VERSUS TRENDS AND UNIT ROOTS FOR A WIDE CLASS OF DEPENDENT ERRORS , 2006, Econometric Theory.
[17] X. Shao,et al. Invariance principles for fractionally integrated nonlinear processes , 2006, math/0608223.
[18] Gilles Teyssière,et al. Long Memory in Economics , 2006 .
[19] Q. Shao,et al. On discriminating between long-range dependence and changes in mean , 2006, math/0607803.
[20] A. Banerjee,et al. Modelling structural breaks, long memory and stock market volatility: an overview , 2005 .
[21] J. Dolado,et al. What is What?: A Simple Time-Domain Test of Long-Memory vs. Structural Breaks , 2005 .
[22] Pierre Perron,et al. Dealing with Structural Breaks , 2005 .
[23] Stepana Lazarova,et al. Testing for structural change in regression with long memory processes , 2004 .
[24] T. Mikosch,et al. Nonstationarities in Financial Time Series, the Long-Range Dependence, and the IGARCH Effects , 2004, Review of Economics and Statistics.
[25] C. Granger,et al. Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns , 2004 .
[26] Wang Lihong. Limit theorems in change-point problems with multivariate long-range dependent observations , 2003 .
[27] Qiying Wang,et al. ASYMPTOTICS FOR GENERAL FRACTIONALLY INTEGRATED PROCESSES WITH APPLICATIONS TO UNIT ROOT TESTS , 2003, Econometric Theory.
[28] P. Robinson. Time Series with Long Memory , 2003 .
[29] Murad S. Taqqu,et al. Theory and applications of long-range dependence , 2003 .
[30] P. Sibbertsen,et al. Distinguishing between Long-Range Dependence and Deterministic Trends , 2003 .
[31] B. Ray,et al. Bayesian methods for change‐point detection in long‐range dependent processes , 2002 .
[32] Jan Beran,et al. SEMIFAR models|a semiparametric approach to modelling trends , 2002 .
[33] Ignacio N. Lobato. Testing That a Dependent Process Is Uncorrelated , 2001 .
[34] Marc Henry,et al. Robust Automatic Bandwidth for Long Memory , 2001 .
[35] Ignacio N. Lobato,et al. A NONPARAMETRIC TEST FOR I(0) , 1998 .
[36] Rohit S. Deo,et al. Linear Trend with Fractionally Integrated Errors , 1998 .
[37] Jonathan H. Wright. Testing for a Structural Break at Unknown Date with Long‐memory Disturbances , 1998 .
[38] Marcus J. Chambers,et al. Long Memory and Aggregation in Macroeconomic Time Series , 1998 .
[39] L. Horváth,et al. The effect of long-range dependence on change-point estimators , 1997 .
[40] Murad S. Taqqu,et al. Testing for long‐range dependence in the presence of shifting means or a slowly declining trend, using a variance‐type estimator , 1997 .
[41] Ignacio N. Lobato,et al. Real and Spurious Long-Memory Properties of Stock-Market Data , 1996 .
[42] Javier Hidalgo,et al. Testing for structural change in a long-memory environment☆ , 1996 .
[43] Marc Henry,et al. Bandwidth Choice in Gaussian Semiparametric Estimation of Long Range Dependence , 1996 .
[44] P. Robinson. Gaussian Semiparametric Estimation of Long Range Dependence , 1995 .
[45] D. Andrews. Tests for Parameter Instability and Structural Change with Unknown Change Point , 1993 .
[46] R. Smith. Long-range dependence and global warming , 1992 .
[47] Venkata K. Jandhyala,et al. A search for the source of the nile's change-points , 1991 .
[48] R. Davies,et al. Tests for Hurst effect , 1987 .
[49] H. R. Kuensch. Statistical Aspects of Self-Similar Processes , 1986 .
[50] D. Pollard. Convergence of stochastic processes , 1984 .
[51] J. Geweke,et al. THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .
[52] G. Cobb. The problem of the Nile: Conditional solution to a changepoint problem , 1978 .
[53] Yu. A. Davydov,et al. The Invariance Principle for Stationary Processes , 1970 .