The uniform CLT for empirical estimator of a general state space semi-Markov kernel indexed by functions
Authors:
S. Bouzebda and N. Limnios
Journal:
Theor. Probability and Math. Statist. 96 (2018), 15-26
MSC (2010):
Primary 60J28, 60K15, 60G09, 62F40
DOI:
https://doi.org/10.1090/tpms/1031
Published electronically:
October 5, 2018
MathSciNet review:
3910751
Full-text PDF
Abstract |
References |
Similar Articles |
Additional Information
Abstract: In this paper we mainly deal with the uniform CLT for empirical estimator of a general state space semi-Markov process indexed by functions under the uniformly integrable entropy condition. A way to describe the uniform CLT is to translate the problem into martingale difference sequences to obtain the desired results.
References
- Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, and Niels Keiding, Statistical models based on counting processes, Springer Series in Statistics, Springer-Verlag, New York, 1993. MR 1198884
- Jongsig Bae and Moon Joo Choi, The uniform CLT for martingale difference of function-indexed process under uniformly integrable entropy, Commun. Korean Math. Soc. 14 (1999), no. 3, 581–595. MR 1791682
- Jongsig Bae, Doobae Jun, and Shlomo Levental, The uniform CLT for martingale difference arrays under the uniformly integrable entropy, Bull. Korean Math. Soc. 47 (2010), no. 1, 39–51. MR 2604230, DOI https://doi.org/10.4134/BKMS.2010.47.1.039
- Philippe Barbe and Patrice Bertail, The weighted bootstrap, Lecture Notes in Statistics, vol. 98, Springer-Verlag, New York, 1995. MR 2195545
- István Berkes and Walter Philipp, Approximation theorems for independent and weakly dependent random vectors, Ann. Probab. 7 (1979), no. 1, 29–54. MR 515811
- Patrick Billingsley, Convergence of probability measures, John Wiley & Sons, Inc., New York-London-Sydney, 1968. MR 0233396
- Salim Bouzebda, Chrysanthi Papamichail, and Nikolaos Limnios, On a multidimensional general bootstrap for empirical estimator of continuous-time semi-Markov kernels with applications, J. Nonparametr. Stat. 30 (2018), no. 1, 49–86. MR 3756233, DOI https://doi.org/10.1080/10485252.2017.1404059
- S. Bouzebda and N. Limnios, The uniform CLT for empirical estimator of a semi-Markov kernel indexed by functions with applications (2017) (under revision).
- V. V. Buldygin, O. I. Klesov, and J. G. Steinebach, Asymptotic properties of absolutely continuous functions and strong laws of large numbers for renewal processes, Theory Probab. Math. Statist. 87 (2013), 1–12. Translation of Teor. Ǐmovīr. Mat. Stat. No. 87 (2012), 1–11. MR 3241442, DOI https://doi.org/10.1090/S0094-9000-2014-00900-X
- Miklós Csörgő and Lajos Horváth, Weighted approximations in probability and statistics, Wiley Series in Probability and Mathematical Statistics: Probability and Mathematical Statistics, John Wiley & Sons, Ltd., Chichester, 1993. With a foreword by David Kendall. MR 1215046
- R. M. Dudley, Uniform central limit theorems, Cambridge Studies in Advanced Mathematics, vol. 63, Cambridge University Press, Cambridge, 1999. MR 1720712
- B. Efron, Bootstrap methods: another look at the jackknife, Ann. Statist. 7 (1979), no. 1, 1–26. MR 515681
- S. Georgiadis and N. Limnios, A multidimensional functional central limit theorem for an empirical estimator of a continuous-time semi-Markov kernel, J. Nonparametr. Stat. 24 (2012), no. 4, 1007–1017. MR 2995489, DOI https://doi.org/10.1080/10485252.2012.715162
- J. Hoffmann-Jørgensen, Stochastic processes on Polish spaces, Various Publications Series (Aarhus), vol. 39, Aarhus Universitet, Matematisk Institut, Aarhus, 1991. MR 1217966
- Jean Jacod and Albert N. Shiryaev, Limit theorems for stochastic processes, 2nd ed., Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 288, Springer-Verlag, Berlin, 2003. MR 1943877
- A. N. Kolmogorov and V. M. Tihomirov, $\varepsilon $-entropy and $\varepsilon $-capacity of sets in functional space, Amer. Math. Soc. Transl. (2) 17 (1961), 277–364. MR 0124720
- Vladimir S. Koroliuk and Nikolaos Limnios, Stochastic systems in merging phase space, World Scientific Publishing Co. Pte. Ltd., Hackensack, NJ, 2005. MR 2205562
- Michael R. Kosorok, Introduction to empirical processes and semiparametric inference, Springer Series in Statistics, Springer, New York, 2008. MR 2724368
- Michel Ledoux and Michel Talagrand, Probability in Banach spaces, Ergebnisse der Mathematik und ihrer Grenzgebiete (3) [Results in Mathematics and Related Areas (3)], vol. 23, Springer-Verlag, Berlin, 1991. Isoperimetry and processes. MR 1102015
- Nikolaos Limnios, A functional central limit theorem for the empirical estimator of a semi-Markov kernel, J. Nonparametr. Stat. 16 (2004), no. 1-2, 13–18. The International Conference on Recent Trends and Directions in Nonparametric Statistics. MR 2053060, DOI https://doi.org/10.1080/10485250310001622613
- N. Limnios and G. Oprişan, Semi-Markov processes and reliability, Statistics for Industry and Technology, Birkhäuser Boston, Inc., Boston, MA, 2001. MR 1843923
- Yoichi Nishiyama, Some central limit theorems for $l^\infty $-valued semimartingales and their applications, Probab. Theory Related Fields 108 (1997), no. 4, 459–494. MR 1465638, DOI https://doi.org/10.1007/s004400050117
- David Pollard, Convergence of stochastic processes, Springer Series in Statistics, Springer-Verlag, New York, 1984. MR 762984
- David Pollard, Empirical processes: theory and applications, NSF-CBMS Regional Conference Series in Probability and Statistics, vol. 2, Institute of Mathematical Statistics, Hayward, CA; American Statistical Association, Alexandria, VA, 1990. MR 1089429
- Ronald Pyke, Markov renewal processes: definitions and preliminary properties, Ann. Math. Statist. 32 (1961), 1231–1242. MR 133888, DOI https://doi.org/10.1214/aoms/1177704863
- Ronald Pyke, Markov renewal processes with finitely many states, Ann. Math. Statist. 32 (1961), 1243–1259. MR 154324, DOI https://doi.org/10.1214/aoms/1177704864
- Murray Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math. Statist. 27 (1956), 832–837. MR 79873, DOI https://doi.org/10.1214/aoms/1177728190
- Jacques Janssen and Nikolaos Limnios (eds.), Semi-Markov models and applications, Kluwer Academic Publishers, Dordrecht, 1999. Selected papers from the 2nd International Symposium on Semi-Markov Models: Theory and Applications held in Compiègne, December 1998. MR 1772933
- Jun Shao and Dong Sheng Tu, The jackknife and bootstrap, Springer Series in Statistics, Springer-Verlag, New York, 1995. MR 1351010
- Galen R. Shorack and Jon A. Wellner, Empirical processes with applications to statistics, Wiley Series in Probability and Mathematical Statistics: Probability and Mathematical Statistics, John Wiley & Sons, Inc., New York, 1986. MR 838963
- Dmitrii S. Silvestrov, Limit theorems for randomly stopped stochastic processes, Probability and its Applications (New York), Springer-Verlag London, Ltd., London, 2004. MR 2030998
- Aad van der Vaart, New Donsker classes, Ann. Probab. 24 (1996), no. 4, 2128–2140. MR 1415244, DOI https://doi.org/10.1214/aop/1041903221
- Aad W. van der Vaart and Jon A. Wellner, Weak convergence and empirical processes, Springer Series in Statistics, Springer-Verlag, New York, 1996. With applications to statistics. MR 1385671
References
- P. K. Andersen, Ø. Borgan, R. D. Gill, and N. Keiding, Statistical Models Based on Counting Processes, Springer Ser. Statist., Springer-Verlag, New York, 1993. MR 1198884
- J. Bae and M. J. Choi, The uniform CLT for martingale difference of function-indexed process under uniformly integrable entropy, Commun. Korean Math. Soc. 14 (1999), no. 3, 581–595. MR 1791682
- J. Bae, D. Jun, and S. Levental, The uniform CLT for martingale difference arrays under the uniformly integrable entropy, Bull. Korean Math. Soc. 47 (2010), no. 1, 39–51. MR 2604230
- P. Barbe and P. Bertail, The Weighted Bootstrap, Lecture Notes in Statist., vol. 98, Springer-Verlag, New York, 1995. MR 2195545
- I. Berkes and W. Philipp, Approximation theorems for independent and weakly dependent random vectors, Ann. Probab. 7 (1979), no 1, 29–54. MR 515811
- P. Billingsley, Convergence of Probability Measures, John Wiley & Sons Inc., New York, 1968. MR 0233396
- S. Bouzebda, Chr. Chrysanthi Papamichail, and N. Limnios, On a multidimensional general bootstrap for empirical estimator of continuous-time semi-Markov kernels with applications, J. Nonparametr. Stat. (2017). MR 3756233
- S. Bouzebda and N. Limnios, The uniform CLT for empirical estimator of a semi-Markov kernel indexed by functions with applications (2017) (under revision).
- V. V. Buldygin, O. I. Klesov, and J. G. Steinebach, Asymptotic properties of absolutely continuous functions and strong laws of large numbers for renewal processes, Theory Probab. Math. Statist. 87 (2013), 1–12. MR 3241442
- M. Csörgő and L. Horváth, Weighted Approximations in Probability and Statistics, Wiley Series in Probability and Mathematical Statistics, John Wiley & Sons Ltd., Chichester, 1993. MR 1215046
- R. M. Dudley, Uniform Central Limit Theorems, Cambridge Stud. Adv. Math., vol. 63, Cambridge University Press, Cambridge, 1999. MR 1720712
- B. Efron, Bootstrap methods: another look at the jackknife, Ann. Statist. 7 (1979), no. 1, 1–26. MR 515681
- S. Georgiadis and N. Limnios, A multidimensional functional central limit theorem for an empirical estimator of a continuous-time semi-Markov kernel, J. Nonparametr. Stat. 24 (2012), no. 4, 1007–1017. MR 2995489
- J. Hoffmann-Jørgensen, Stochastic Processes on Polish Spaces, Various Publications Series (Aarhus), vol. 39, Aarhus Universitet Matematisk Institut, Aarhus, 1991. MR 1217966
- J. Jacod and A. N. Shiryaev, Limit Theorems for Stochastic Processes, second edition, Grundlehren Math. Wiss., vol. 288, Springer-Verlag, Berlin, 2003. MR 1943877
- A. N. Kolmogorov and V. M. Tihomirov, $\varepsilon$-entropy and $\varepsilon$-capacity of sets in functional space, Amer. Math. Soc. Transl. 17 (1961), no. 2, 277–364. MR 0124720
- V. S. Koroliuk and N. Limnios, Stochastic Systems in Merging Phase Space, World Scientific, New York, 2005. MR 2205562
- M. R. Kosorok, Introduction to Empirical Processes and Semiparametric Inference, Springer Ser. Statist., Springer, New York, 2008. MR 2724368
- M. Ledoux and M. Talagrand, Probability in Banach Spaces. Isoperimetry and Processes, Ergeb. Math. Grenzgeb., vol. 23, Springer-Verlag, Berlin, 1991. MR 1102015
- N. Limnios, A functional central limit theorem for the empirical estimator of a semi-Markov kernel, J. Nonparametr. Stat. 16 (2004), no. 1–2, 13–18. MR 2053060
- N. Limnios and G. Oprişan, Semi-Markov Processes and Reliability, Stat. Ind. Technol., Birkhäuser Boston Inc., Boston, MA, 2001. MR 1843923
- Y. Nishiyama, Some central limit theorems for $l^\infty$-valued semimartingales and their applications, Probab. Theory Related Fields 108 (1997), no. 4, 459–494. MR 1465638
- D. Pollard, Convergence of Stochastic Processes, Springer Ser. Statist., Springer-Verlag, New York, 1984. MR 762984
- D. Pollard, Empirical Processes: Theory and Applications, NSF-CBMS Regional Conference Series in Probability and Statistics, 2, Institute of Mathematical Statistics, Hayward, CA; American Statistical Association, Alexandria, VA, 1990. MR 1089429
- R. Pyke, Markov renewal processes: definitions and preliminary properties, Ann. Math. Statist. 32 (1961), 1231–1242. MR 0133888
- R. Pyke, Markov renewal processes with finitely many states, Ann. Math. Statist. 32 (1961), 1243–1259. MR 0154324
- M. Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math. Statist. 27 (1956), 832–837. MR 0079873
- J. Janssen and N. Limnios (eds.), Semi-Markov Models and Applications. Selected papers from the 2nd International Symposium on Semi-Markov Models: Theory and Applications held in Compiègne, December 1998. Kluwer Academic Publishers, Dordrecht, 1999. MR 1772933
- J. Shao and D. S. Tu, The Jackknife and Bootstrap, Springer Ser. Statist., Springer-Verlag, New York, 1995. MR 1351010
- G. R. Shorack and J. A. Wellner, Empirical Processes with Applications to Statistics, Wiley Series in Probability and Mathematical Statistics, John Wiley & Sons Inc., New York, 1986. MR 838963
- D. Silvestrov, Limit Theorems for Randomly Stopped Stochastic Processes, Springer-Verlag, London, 2004. MR 2030998
- A. van der Vaart, New Donsker classes, Ann. Probab. 24 (1996), no. 4, 2128–2140. MR 1415244
- A. W. van der Vaart and J. A. Wellner, Weak Convergence and Empirical Processes, Springer Ser. Statist., Springer-Verlag, New York, 1996. MR 1385671
Similar Articles
Retrieve articles in Theory of Probability and Mathematical Statistics
with MSC (2010):
60J28,
60K15,
60G09,
62F40
Retrieve articles in all journals
with MSC (2010):
60J28,
60K15,
60G09,
62F40
Additional Information
S. Bouzebda
Affiliation:
Sorbonne Universités, Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne, Rue du Dr Schweitzer, CS 60319, 60205 Compiegne Cedex, France
Email:
salim.bouzebda@utc.fr
N. Limnios
Affiliation:
Sorbonne Universités, Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne, Rue du Dr Schweitzer, CS 60319, 60205 Compiegne Cedex, France
Email:
nikolaos.limnios@utc.fr
Keywords:
Semi-Markov process,
semi-Markov kernel,
empirical estimator,
uniform central limit theorem,
invariance principle
Received by editor(s):
February 7, 2017
Published electronically:
October 5, 2018
Article copyright:
© Copyright 2018
American Mathematical Society