On Ibragimov-Iosifescu conjecture for \(\phi\)-mixing sequences
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Publication:749008
DOI10.1016/0304-4149(90)90008-GzbMath0712.60020WikidataQ122914602 ScholiaQ122914602MaRDI QIDQ749008
Publication date: 1990
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Related Items (20)
On the dissipation of partial sums from a stationary strongly mixing sequence ⋮ Convergence of moments for strictly stationary sequences ⋮ On the Rate of Complete Convergence for Weighted Sums of Arrays of Rowwise ϕ-Mixing Random Variables ⋮ On the weak invariance principle for stationary sequences under projective criteria ⋮ On the local limit theorems for psi-mixing Markov chains ⋮ On Marcinkiewicz-Zygmund laws ⋮ On the Product of Random Variables and Moments of Sums Under Dependence ⋮ Marcinkiewicz laws with infinite moments ⋮ A weak law of large numbers for maxima ⋮ Relative stability in strictly stationary random sequences ⋮ A note on Marcinkiewicz laws for strictly stationary \(\varphi\)-mixing sequences ⋮ Exponential inequalities for sums of unbounded ϕ-mixing sequence and their applications ⋮ Testing for a unit root under errors with just barely infinite variance ⋮ Moment inequality for \(\varphi \)-mixing sequences and its applications ⋮ On the local limit theorems for lower psi-mixing Markov chains ⋮ Relative stability for strictly stationary sequences ⋮ On limit theorems for continued fractions ⋮ Mixing Conditions, Central Limit Theorems, and Invariance Principles: A Survey of the Literature with Some New Results on Heteroscedastic Sequences ⋮ Almost sure relative stability of the maximum of a stationary sequence ⋮ Limit theorems for mixing sequences without rate assumptions
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- Convergence of sums of mixing triangular arrays of random vectors with stationary rows
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- An invariance principle for \(\phi\)-mixing sequences
- Central limit theorems for mixing sequences of random variables under minimal conditions
- Asymptotic normality of trimmed sums of \(\Phi\)-mixing random variables
- A central limit theorem for stationary \(\rho\)-mixing sequences with infinite variance
- Invariance principles for mixing sequences of random variables
- Convergence rates and r-quick versions of the strong law for stationary mixing sequences
- The invariance principle for ϕ-mixing sequences
- A Note on the Central Limit Theorems for Dependent Random Variables
- Moment Convergence of Sample Extremes
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