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How big are the Csorgo-Revesz increments of two-parameter Wiener processes? 期刊论文
SCIENCE IN CHINA SERIES A-MATHEMATICS, 2004, 卷号: 47, 期号: 6, 页码: 894-907
作者:  Wang, WS
收藏  |  浏览/下载：91/0  |  提交时间：2018/07/30
two-parameter Wiener process  increment  functional law of the iterated logarithm  large deviation  
A central limit theorem and law of the iterated logarithm for a random field with exponential decay of correlations 期刊论文
CANADIAN JOURNAL OF MATHEMATICS-JOURNAL CANADIEN DE MATHEMATIQUES, 2004, 卷号: 56, 期号: 1, 页码: 209-224
作者:  Schmuland, B;  Sun, W
收藏  |  浏览/下载：84/0  |  提交时间：2018/07/30
law of the iterated logarithm  
The law of large numbers and the law of the iterated logarithm for infinite dimensional interacting diffusion processes 期刊论文
INFINITE DIMENSIONAL ANALYSIS QUANTUM PROBABILITY AND RELATED TOPICS, 2003, 卷号: 6, 期号: 3, 页码: 489-503
作者:  Schmuland, B;  Sun, W
收藏  |  浏览/下载：111/0  |  提交时间：2018/07/30
configuration space  Dirichlet form  law of large numbers  law of the iterated logarithm  
The LIL for the estimates of the parameters in a partly linear regression model 期刊论文
TAIWANESE JOURNAL OF MATHEMATICS, 1999, 卷号: 3, 期号: 4, 页码: 517-528
作者:  Hua, L
收藏  |  浏览/下载：95/0  |  提交时间：2018/07/30
partly linear regression model  convergence rate  the law of the iterated logarithm  
The almost sure behavior of the oscillation modulus for PL-process and cumulative hazard process under random censorship 期刊论文
SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY, 1999, 卷号: 42, 期号: 3, 页码: 225-237
作者:  Zhou, Y;  Sun, LQ;  Yip, PSF
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
censorship  oscillation modulus  product-limit process  cumulative hazard process  law of the iterated logarithm (LIL)  
Large sample theory of the estimation of the error distribution for a semiparametric model 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1999, 卷号: 28, 期号: 9, 页码: 2025-2036
作者:  Liang, H;  Hardle, W
收藏  |  浏览/下载：75/0  |  提交时间：2018/07/30
weak  strong consistency  uniformly strong consistency  rates of convergence  asymptotic normality  law of the iterated logarithm  semiparametric model