Asymptotic Methods in Probability and Statistics: A Volume in Honor of Miklôos Csþorgào von Szyszkowicz, B

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Donsker's Theorem for Self-Normalized Partial Sums Processes von Csörgő, Miklós, Szyszkowicz, Barbara, Wang, Qiying

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Central Limit Theorems and Large Deviations for Additive Functionals of Reflecting Diffusion Processes von Glynn, Peter W., Wang, Rob J.

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Change-Point Detection Under Dependence Based on Two-Sample U-Statistics von Dehling, Herold, Fried, Roland, Garcia, Isabel, Wendler, Martin

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Asymptotics of Studentized U-type processes for changepoint problems von Csörgõ, M., Szyszkowicz, B., Wang, Q.

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On weighted approximations in D[0, 1] with applications to self-normalized partial sum processes von Csörgő, M., Szyszkowicz, B., Wang, Q.

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Asymptotic Methods in Probability and Statistics: A Volume in Honour of Miklós Csörgő von Szyszkowicz, B

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Some Results and Problems for Anisotropic Random Walks on the Plane von Csáki, Endre, Földes, Antónia, Révész, Pál

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Darling-Erdős Theorem for Self-Normalized Sums von Csörgő, Miklós, Szyszkowicz, Barbara, Wang, Qiying

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Diagnostic Tests for Innovations of ARMA Models Using Empirical Processes of Residuals von Ghoudi, Kilani, Rémillard, Bruno

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Kellerer’s Theorem Revisited von Hirsch, Francis, Roynette, Bernard, Yor, Marc

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Central Limit Theorem Related to MDR-Method von Bulinski, Alexander

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Kernel Method for Stationary Tails: From Discrete to Continuous von Dai, Hongshuai, Dawson, Donald A., Zhao, Yiqiang Q.

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Quenched Invariance Principles via Martingale Approximation von Peligrad, Magda

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Change Point Detection with Stable AR(1) Errors von Bazarova, Alina, Berkes, István, Horváth, Lajos

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An Extension of Theorems of Hechner and Heinkel von Li, Deli, Qi, Yongcheng, Rosalsky, Andrew

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A Compensator Characterization of Planar Point Processes von Ivanoff, B. Gail

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Weak Convergence of Self-normalized Partial Sums Processes von Csörgő, Miklós, Hu, Zhishui

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The Self-normalized Asymptotic Results for Linear Processes von Peligrad, Magda, Sang, Hailin

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Empirical Likelihood and Ranking Methods von Alvo, Mayer

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