On a very weak bernoulli condition†
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Publication:3324743
DOI10.1080/17442508408833311zbMath0538.60036OpenAlexW2048312387MaRDI QIDQ3324743
Publication date: 1984
Published in: Stochastics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/17442508408833311
Related Items (4)
Mixing Properties of a Class of Bernoulli-Processes ⋮ Central limit theorem by moments ⋮ Versik Processes and Very Weak Bernoulli Processes with Summable Rates are Independent ⋮ Finite-state, stationary, \(\varphi\)-mixing processes which are not very weak Bernoulli with rate \(O(1/n)\)
Cites Work
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- On the \(\varphi\)-mixing condition for stationary random sequences
- Central limit theorems under weak dependence
- Finitely determined processes - An indiscrete approach
- Absolute regularity and functions of Markov chains
- A generalization of Ornstein's \(\overline d\) distance with applications to information theory
- Examples of mixing sequences
- Approximation theorems for independent and weakly dependent random vectors
- Finitely determined implies very weak Bernoulli
- On isomorphism of weak Bernoulli transformations
- On Sequences of Pairs of Dependent Random Variables
- Some Limit Theorems for Random Functions. I
- Versik Processes and Very Weak Bernoulli Processes with Summable Rates are Independent
- Some Limit Theorems for Random Functions. II
- Mixing Conditions for Markov Chains
- A Note on the Central Limit Theorems for Dependent Random Variables
- An almost sure invariance principle for the empirical distribution function of mixing random variables
- On the strong mixing and weak Bernoulli conditions
- Strong approximation of very weak Bernoulli processes
- A partition on a Bernoulli shift which is not weakly Bernoulli
- Some Limit Theorems for Stationary Processes
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