Central limit theorems for conditionally strong mixing and conditionally strictly stationary sequences of random variables
From MaRDI portal
Publication:6619747
DOI10.4134/jkms.j230332MaRDI QIDQ6619747
Publication date: 16 October 2024
Published in: Journal of the Korean Mathematical Society (Search for Journal in Brave)
strong mixingconditional central limit theoremconditional stationarityconditionally strong mixingconditionally upper-tail quantile function
Inequalities; stochastic orderings (60E15) Central limit and other weak theorems (60F05) Stationary stochastic processes (60G10)
Cites Work
- Title not available (Why is that?)
- Some conditional results for conditionally strong mixing sequences of random variables
- Conditional limit theorems for conditionally linearly negative quadrant dependent random variables
- A general central limit theorem for strong mixing sequences
- Conditional limit theorems for conditionally negatively associated random variables
- Conditional versions of limit theorems for conditionally associated random variables
- Conditional independence, conditional mixing and conditional association
- The Borel-Cantelli lemma for strong mixing sequences of events and their applications to LIL
- On the central limit theorem for weakly dependent sequences with a decomposed strong mixing coefficient
- On the consistency of a cross-sectional GMM estimator in the presence of an observable stochastic common data shock
- Stable limit theorems for empirical processes under conditional neighborhood dependence
- The functional central limit theorem under the strong mixing condition
- Moment bounds for mixing random variables useful in nonparametric function estimation
- The bootstrap of the mean for strong mixing sequences under minimal conditions
- Large deviations and strong mixing
- Some theorems on conditional mean convergence and conditional almost sure convergence for randomly weighted sums of dependent random variables
- A comprehensive family of copulas to model bivariate random noise and perturbation
- Conditional mean convergence theorems of conditionally dependent random variables under conditions of integrability
- Maximal moment inequality for partial sums of strong mixing sequences and application
- CONDITIONAL CENTRAL LIMIT THEOREMS FOR A SEQUENCE OF CONDITIONAL INDEPENDENT RANDOM VARIABLES
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- On Conditional Independence, Mixing, and Association
- Moment bounds for stationary mixing sequences
- Conditional Central Limit Theorem
- On the Minimum Node Degree and k-Connectivity in Inhomogeneous Random K-Out Graphs
- The Conditional Convex Order and a Comparison Inequality
- A Weak Convergence Theorem for Order Statistics From Strong-Mixing Processes
This page was built for publication: Central limit theorems for conditionally strong mixing and conditionally strictly stationary sequences of random variables
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6619747)