Measuring the roughness of random paths by increment ratios

被引:21
作者
Bardet, Jean-Marc [1 ]
Surgailis, Donatas [2 ]
机构
[1] Univ Paris 01, SAMM, F-75634 Paris 13, France
[2] Inst Math & Informat, LT-08663 Vilnius, Lithuania
关键词
diffusion processes; estimation of the local regularity function of stochastic process; fractional Brownian motion; Holder exponent; Levy processes; limit theorems; multifractional Brownian motion; tangent process; zero crossings; CENTRAL-LIMIT-THEOREM; LOCAL-STRUCTURE; IDENTIFICATION; VARIABLES; INDEX; LAW;
D O I
10.3150/10-BEJ291
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A statistic based on increment ratios (IR's) and related to zero crossings of an increment sequence is defined and studied for the purposes of measuring the roughness of random paths. The main advantages of this statistic are robustness to smooth additive and multiplicative trends and applicability to infinite variance processes. The existence of the IR statistic limit (which we shall call the IR-roughness) is closely related to the existence of a tangent process. Three particular cases where the IR-roughness exists and is explicitly computed are considered. First, for a diffusion process with smooth diffusion and drift coefficients, the IR-roughness coincides with the IR-roughness of a Brownian motion and its convergence rate is obtained. Second, the case of rough Gaussian processes is studied in detail under general assumptions which do not require stationarity conditions. Third, the IR-roughness of a Levy process with an alpha-stable tangent process is established and can be used to estimate the fractional parameter alpha is an element of (0, 2) following a central limit theorem.
引用
收藏
页码:749 / 780
页数:32
相关论文
共 41 条
[1]   ESTIMATING THE DEGREE OF ACTIVITY OF JUMPS IN HIGH FREQUENCY DATA [J].
Ait-Sahalia, Yacine ;
Jacod, Jean .
ANNALS OF STATISTICS, 2009, 37 (5A) :2202-2244
[2]  
[Anonymous], 1967, Integral, measure, and derivative on linear spaces
[3]  
Arcones M., 1994, Ann. Probab., V22, P2242, DOI 10.1214/aop/1176988503
[4]  
Ayache A, 2005, LECT NOTES MATH, V1857, P290
[5]   Definition, properties and wavelet analysis of multiscale fractional brownian motion [J].
Bardet, Jean-Marc ;
Bertrand, Pierre .
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2007, 15 (01) :73-87
[6]  
BARDET JM, 2009, CENTRAL LIMIT THEORE
[7]  
BARDET JM, 2010, NONPARAMETRIC ESTIMA
[8]   SPECTRAL ESTIMATION OF THE FRACTIONAL ORDER OF A LEVY PROCESS [J].
Belomestny, Denis .
ANNALS OF STATISTICS, 2010, 38 (01) :317-351
[9]   Identifying the multifractional function of a Gaussian process [J].
Benassi, A ;
Cohen, S ;
Istas, J .
STATISTICS & PROBABILITY LETTERS, 1998, 39 (04) :337-345
[10]  
Benassi A, 1997, REV MAT IBEROAM, V13, P19