We give a spectral approach to prove a parametric first-order Edgeworth expansion for bivariate additive functionals of strongly ergodic Markov chains. In particular, given any -geometrically ergodic Markov chain whose distribution depends on a parameter , we prove that satisfies a uniform (in ) first-order Edgeworth expansion provided that satisfies some non-lattice condition and an almost optimal moment domination condition. Furthermore, the sequence need not be stationary. This result is applied to -estimators of Markov chains and in particular of -geometrically ergodic Markov chains. The -estimators of some autoregressive processes are studied.
Grâce à une approche spectrale, nous donnons des conditions assurant la validité du développement d’Edgeworth d’ordre 1 paramétrique, dans le cadre général des fonctionnelles bivariées et additives de chaînes de Markov fortement ergodiques. En particulier, soit une chaîne de Markov -géométriquement ergodique dont la loi dépend d’un paramètre . Nous montrons alors que satisfait un développement d’Edgeworth d’ordre 1 uniforme (en ) si satisfait une condition de type non-lattice ainsi qu’une condition quasi-optimale de moment-domination. De plus, ce résultat est établi dans le cas où les données ne sont pas nécessairement stationnaires. Ce résultat est appliqué en particulier aux -estimateurs associés à des chaînes de Markov -géométriquement ergodiques. Les -estimateurs de processus autorégressifs sont étudiés.
Keywords: edgeworth expansion, $V$-geometrically ergodic Markov chain, non-arithmeticity condition, perturbation operator
@article{AIHPB_2015__51_2_781_0,
author = {Ferr\'e, D.},
title = {Parametric first-order {Edgeworth} expansion for {Markov} additive functionals. {Application} to $M$-estimations},
journal = {Annales de l'I.H.P. Probabilit\'es et statistiques},
pages = {781--808},
year = {2015},
publisher = {Gauthier-Villars},
volume = {51},
number = {2},
doi = {10.1214/13-AIHP592},
mrnumber = {3335025},
zbl = {1322.60158},
language = {en},
url = {https://www.numdam.org/articles/10.1214/13-AIHP592/}
}
TY - JOUR AU - Ferré, D. TI - Parametric first-order Edgeworth expansion for Markov additive functionals. Application to $M$-estimations JO - Annales de l'I.H.P. Probabilités et statistiques PY - 2015 SP - 781 EP - 808 VL - 51 IS - 2 PB - Gauthier-Villars UR - https://www.numdam.org/articles/10.1214/13-AIHP592/ DO - 10.1214/13-AIHP592 LA - en ID - AIHPB_2015__51_2_781_0 ER -
%0 Journal Article %A Ferré, D. %T Parametric first-order Edgeworth expansion for Markov additive functionals. Application to $M$-estimations %J Annales de l'I.H.P. Probabilités et statistiques %D 2015 %P 781-808 %V 51 %N 2 %I Gauthier-Villars %U https://www.numdam.org/articles/10.1214/13-AIHP592/ %R 10.1214/13-AIHP592 %G en %F AIHPB_2015__51_2_781_0
Ferré, D. Parametric first-order Edgeworth expansion for Markov additive functionals. Application to $M$-estimations. Annales de l'I.H.P. Probabilités et statistiques, Tome 51 (2015) no. 2, pp. 781-808. doi: 10.1214/13-AIHP592
[1] . Positive Transfer Operators and Decay of Correlations. Adv. Ser. Nonlinear Dynam. 16. World Scientific Publishing Co., River Edge, NJ, 2000. | Zbl | MR | DOI
[2] and . A renewal approach to markovian -statistics. Math. Methods Statist. 20 (2011) 79–105. | MR | Zbl | DOI
[3] . Statistical Inference for Markov Processes. Univ. Chicago Press, Chicago, IL, 1961. | Zbl | MR
[4] . The Berry–Esseen theorem for strongly mixing Harris recurrent Markov chains. Probab. Theory Related Fields 60 (1982) 283–289. | Zbl | MR
[5] . Efficient parameter estimation for self similar processes. Ann. Statist. 17 (1989) 1749–1766. | Zbl | MR | DOI
[6] and . On likelihood estimation for discretely observed Markov jump processes. Aust. N. Z. J. Stat. 49 (2007) 93–107. | Zbl | MR | DOI
[7] . Approximations for densities of sufficient estimators. Biometrika 67 (1980) 311–333. | Zbl | MR | DOI
[8] . An Introduction to Probability Theory and Its Applications. Vol. II. Wiley, New York, 1971. | Zbl | MR
[9] . Développements d’Edgeworth en statistique des modèles markoviens. Ph.D. thesis, Institut National des Sciences Appliquées de Rennes.
[10] . Développement d’Edgeworth d’ordre 1 pour des -estimateurs dans le cas de chaînes -géométriquement ergodiques. C. R. Math. Acad. Sci. Paris 348 (2010) 331–334. | Zbl | MR | DOI
[11] and . Regularity of the characteristic function of additive functionals for iterated function systems. Statistical applications. Markov Process. Related Fields 19 (2013) 299–342. | MR | Zbl
[12] , and . Limit theorems for stationary Markov processes with -spectral gap. Ann. Inst. Henri Poincaré Probab. Stat. 48 (2012) 396–423. | Zbl | MR | Numdam | EuDML | DOI
[13] . Efficient likelihood estimation in state space models. Ann. Statist. 34 (2006) 2026–2068. | Zbl | MR
[14] . Note on minimum contrast estimators for Markov processes. Metrika 19 (1972) 115–130. | Zbl | MR | EuDML | DOI
[15] and . Asymptotic distribution of statistics in time series. Ann. Statist. 22 (1994) 2062–2088. | Zbl | MR | DOI
[16] and . Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness. Lecture Notes Math. 1766. Springer, Berlin, 2001. | Zbl | MR | DOI
[17] , and . A Berry-Esseen theorem on -estimators for -geometrically ergodic Markov chains. Bernoulli 18 (2012) 703–734. | Zbl | MR | DOI
[18] and . The Nagaev–Guivarc’h method via the Keller–Liverani theorem. Bull. Soc. Math. France 138 (3) (2010) 415–489. | Zbl | MR | Numdam | EuDML
[19] . Asymptotic expansions for strongly mixing Harris recurrent Markov chains. Scand. J. Statist. 16 (1989) 47–63. | Zbl | MR
[20] and . Stability of the spectrum for transfer operators. Ann. Sc. Norm. Super. Pisa Cl. Sci. (4) XXVIII (1999) 141–152. | Zbl | MR | Numdam | EuDML
[21] , and . Valid asymptotic expansions for the maximum likelihood estimator of the parameter of a stationary, Gaussian, strongly dependent process. Ann. Statist. 31 (2003) 586–612. | Zbl | MR
[22] . Invariant measures and their properties. A functional analytic point of view. In Dynamical Systems. Part II 185–237. Cent. Ric. Mat. Ennio Giorgi. Scuola Norm. Sup., Pisa, 2003. | Zbl | MR
[23] . Limit theorems for Harris Markov chains. I. Theory Probab. Appl. 31 (1987) 269–285. | Zbl | MR | DOI
[24] and . Markov Chains and Stochastic Stability. Springer, Berlin, 1993. | Zbl | MR
[25] . Asymptotic expansions related to minimum contrast estimators. Ann. Statist. 1 (6) (1973) 993–1026. | Zbl | MR
[26] . Maximum likelihood estimation for Markov processes. Ann. Inst. Statist. Math. 24 (1972) 333–345. | Zbl | MR | DOI
[27] and . On the approximation of positive operators and the behaviour of the spectra of the approximants. Integral Equations Operator Theory 28 (1) (1997) 72–86. | Zbl | MR
[28] . Asymptotic inferencer in Markov process. Ann. Math. Statist. 36 (1965) 978–982. | Zbl | MR | DOI
[29] . Regenerative stochastic processes. Proc. Roy. Soc. London. Ser. A. 232 (1955) 6–31. | Zbl | MR | DOI
Cité par Sources :





