Abstract
Some type of Baxter sums for generalized random Gaussian fields are introduced in this work. Sufficient conditions of such a sum convergence to a non-random constant are obtained. As the examples, the behavior of Baxter sums for a class of generalized fields with independent values and for a field of fractional Brownian motion is considered.
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References
Levy, P.: Le mouvement Brownian plan. Am. J. Math. 62, 487–550 (1940)
Baxter, G.: A strong limit theorem for Gaussian processes. Proc. Am. Math. Soc. 7, 522–527 (1956)
Gladyshev, E.G.: A new limit theorem for stochastic processes with Gaussian increments. Teor. Veroyatn. Primen. 6, 57–66 (1961)
Ryzhov, Yu.M.: One limit theorem for stationary Gaussian processes. Teor. Veroyatn. Mat. Stat. 1, 178–188 (1970)
Berman, S.M.: A version of the Levy-Baxter for the increments of Brownian motion of several parameters. Proc. Am. Math. Soc. 18, 1051–1055 (1967)
Krasnitskiy, S.M.: On some limit theorems for random fields with Gaussian m-order increments. Teor. Veroyatn. Mat. Stat. 5, 71–80 (1971)
Arak, T.V.: On Levy-Baxter type theorems for random fields. Teor. Veroyatn. Primen. 17, 153–160 (1972)
Kurchenko, O.O.: A strongly consistent estimate for the Hurst parameter of fractional Brownian motion. Teor. Imovir. Mat. Stat. 67, 45–54 (2002)
Breton, J.-C., Nourdin, I., Peccati, G.: Exact confidence intervals for the Hurst parameter of a fractional Brownian motion. Electron. J. Stat. 3, 416–425 (2009)
Kozachenko Yu.V., Kurchenko, O.O.: An estimate for the multiparameter FBM. Theory Stoch. Process 5(21), 113–119 (1999)
Prakasa Rao, B.L.S.: Statistical Inference for Fractional Diffusion Processes. Wiley, Chichester (2010)
Gelfand, I.M., Vilenkin, N.Ya.: Applications of Harmonic Analysis. Equipped Hilbert Spaces. Fizmatgiz, Moscow (1961)
Rozanov, Yu.A.: Random Fields and Stochastic Partial Differential Equations. Nauka, Moscow (1995)
Goryainov, V.B.: On Levy-Baxter theorems for stochastic elliptic equations. Teor. Veroyatn. Primen. 33, 176–179 (1988)
Arato, N.M.: On a limit theorem for generalized Gaussian random fields corresponding to stochastic partial differential equations. Teor. Veroyatn. Primen. 34, 409–411 (1989)
Krasnitskiy, S.M., Kurchenko, O.O.: Baxter type theorems for generalized random Gaussian processes. Theory Stoch. Process. 21(37), 45–52 (2016)
Lamperti, J.: Stochastic Processes. A Survey of the Mathematical Theory. Vyscha shkola, Kyiv (1983)
Ibragimov, I.A., Rozanov, Y.A.: Gaussian Random Processes. Nauka, Moscow (1970)
Kamount, A.: On the fractional anisotropic random field. Probab. Math. Stat. 16, 85–98 (1996)
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Krasnitskiy, S., Kurchenko, O. (2018). On Baxter Type Theorems for Generalized Random Gaussian Fields. In: Silvestrov, S., Malyarenko, A., Rančić, M. (eds) Stochastic Processes and Applications. SPAS 2017. Springer Proceedings in Mathematics & Statistics, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-02825-1_4
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