Functional Limit Theorems for Dependent Variables
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[1] I. Helland. Continuity of a class of random time transformations , 1978 .
[2] P. Hall. Martingale Invariance Principles , 1977 .
[3] D. Wolfson. Limit theorems for sums of a sequence of random variables defined on a Markov chain , 1977, Journal of Applied Probability.
[4] H. Rootzén. A note on convergence to mixtures of normal distributions , 1977 .
[5] H. Rootzén. On the functional central limit theorem for martingales, II , 1977 .
[6] H. Rootzén. Rényi-Mixing and Functional Limit Theorems for Martingales , 1977 .
[7] I. Weissman. On Weak Convergence of Extremal Processes , 1976 .
[8] H. Rootzén. Fluctuations of Sequences which Converge in Distribution , 1976 .
[9] S. Resnick. Weak Convergence to Extremal Processes , 1975 .
[10] G. O'Brien,et al. Limit Theorems for Extreme Values of Chain-Dependent Processes , 1975 .
[11] G. Eagleson. Martingale Convergence to Mixtures of Infinitely Divisible Laws , 1975 .
[12] J. Neveu,et al. Discrete Parameter Martingales , 1975 .
[13] D. Freedman. On Tail Probabilities for Martingales , 1975 .
[14] G. O'Brien. Limit theorems for sums of chain-dependent processes , 1974, Journal of Applied Probability.
[15] D. McLeish. Dependent Central Limit Theorems and Invariance Principles , 1974 .
[16] D. Freedman. THE POISSON APPROXIMATION FOR DEPENDENT EVENTS , 1974 .
[17] G. O'Brien. The Limiting Distribution of Maxima of Random Variables Defined on a Denumerable Markov Chain , 1974 .
[18] D. Scott,et al. Central limit theorems for martingales and for processes with stationary increments using a Skorokhod representation approach , 1973, Advances in Applied Probability.
[19] S. Resnick,et al. The structure of extremal processes , 1973, Advances in Applied Probability.
[20] T. Lindvall,et al. Weak convergence of probability measures and random functions in the function space D[0,∞) , 1973, Journal of Applied Probability.
[21] R. Drogin. An Invariance Principle for Martingales , 1972 .
[22] A. Dvoretzky,et al. Asymptotic normality for sums of dependent random variables , 1972 .
[23] B. M. Brown,et al. Martingale convergence to infinitely divisible laws with finite variances , 1971 .
[24] B. M. Brown,et al. Martingale Central Limit Theorems , 1971 .
[25] D. Freedman. Brownian motion and diffusion , 1971 .
[26] Marcel F. Neuts,et al. Limit laws for maxima of a sequence of random variables defined on a Markov chain , 1970, Advances in Applied Probability.
[27] A. Rényi. Remarks on the Poisson process , 1967 .
[28] J. Lamperti. Limiting distributions for branching processes , 1967 .
[29] J. Keilson,et al. A central limit theorem for processes defined on a finite Markov chain , 1964, Mathematical Proceedings of the Cambridge Philosophical Society.
[30] J. Doob. Stochastic processes , 1953 .
[31] W. Feller. An Introduction to Probability Theory and Its Applications , 1959 .