[Sur l'optimalité des conditions de McLeish pour le théorème limite central]
Nous construisons une famille de suites strictement stationnaires et ergodiques pour lesquelles le théorème limite central n'a pas lieu. Ces exemples montrent que les conditions de McLeish pour le théorème limite central sont optimales en un sens précis.
We construct a family of stationary ergodic sequences for which the central limit theorem (CLT) does not hold. These examples show that McLeish's conditions for the CLT are sharp in a precise sense.
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Jérôme Dedecker 1
@article{CRMATH_2015__353_6_557_0, author = {J\'er\^ome Dedecker}, title = {On the optimality of {McLeish's} conditions for the central limit theorem}, journal = {Comptes Rendus. Math\'ematique}, pages = {557--561}, publisher = {Elsevier}, volume = {353}, number = {6}, year = {2015}, doi = {10.1016/j.crma.2015.03.010}, language = {en}, }
Jérôme Dedecker. On the optimality of McLeish's conditions for the central limit theorem. Comptes Rendus. Mathématique, Volume 353 (2015) no. 6, pp. 557-561. doi : 10.1016/j.crma.2015.03.010. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/j.crma.2015.03.010/
[1] Principes d'invariance pour les champs aléatoires stationnaires, Université Paris-Sud, 1998 (Thesis No. 5515)
[2] Necessary and sufficient conditions for the conditional central limit theorem, Ann. Probab., Volume 30 (2002), pp. 1044-1081
[3] On the weak invariance principle for non-adapted sequences under projective criteria, J. Theor. Probab., Volume 20 (2007), pp. 971-1004
[4] A remark about a Markov process with normal transition operator, Third Vilnius Conference on Probability and Statistics, vol. 1, 1981, pp. 147-148
[5] Central limit theorems for time series regression, Z. Wahrscheinlichkeitstheor. Verw. Geb., Volume 26 (1973), pp. 157-170
[6] The central limit theorem for time series regression, Stoch. Process. Appl., Volume 9 (1979), pp. 281-289
[7] On the central limit theorem for stationary processes, Z. Wahrscheinlichkeitstheor. Verw. Geb., Volume 30 (1974), pp. 315-320
[8] On the exactness of the Wu–Woodroofe approximation, Stoch. Process. Appl., Volume 119 (2009), pp. 2158-2165
[9] Central limit theorem for additive functionals of Markov chains, Ann. Probab., Volume 28 (2000), pp. 713-724
[10] Invariance principles for dependent variables, Z. Wahrscheinlichkeitstheor. Verw. Geb., Volume 32 (1975), pp. 165-178
[11] A new maximal inequality and invariance principle for stationary sequences, Ann. Probab., Volume 33 (2005), pp. 798-815
[12] On stable sequences of events, Sankhya, Ser. A, Volume 25 (1963), pp. 189-206
[13] Martingale approximation and optimality of some conditions for the central limit theorem, J. Theor. Probab., Volume 23 (2010), pp. 888-903
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