[PDF] Top 20 Maximal Inequalities for Dependent Random Variables and Applications
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Maximal Inequalities for Dependent Random Variables and Applications
... variables satisfying 1.1. A sufficient condition will be given under which 1.2 and 1.3 hold. We first state and prove one of our main results. The proof is based on the well known method of subsequences. Our proof ... See full document
10
Strong Laws for Weighted Sums of Negative Dependent Random Variables
... Since the conception of PND sequences contains independent and negatively associated sequences, which have a lot of applications, e.g. in reliability theory, Percolation theory and multivariate statistical ... See full document
6
Moderate deviations of functional of Markov Processes
... The paper is organized as follows. In Section 2 we state the MDP for weakly dependent random variables with applications to functions of mixing sequences, Markov chains, and functions of ... See full document
25
The inverse moment for widely orthant dependent random variables
... WOD random variables were introduced by Wang and Cheng [] for risk ...dom variables. On the other hand, for the limit theories and applications of WOD se- quences, we refer to Shen [] for ... See full document
11
Maximal ϕ inequalities for demimartingales
... Remark. Associated random variables were introduced by Esary et al. [4] and have been found many applications especially in reliability theory. Proposition 2 of Newman and Wright [3] shows that the ... See full document
10
Some exponential inequalities for acceptable random variables and complete convergence
... Romano and Siegel [[8], Section 4.30]) provides an example of two random variables X and Y such that the density of their sum is the convolution of their densities, yet they are not independent. It is easy ... See full document
10
Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
... some inequalities for LNQD random variables, we investigate the uniformly asymptotic nor- mality of the sample quantiles for a LNQD sequence under mild conditions and obtain the rate of normal ... See full document
12
PAC Bayesian inequalities of some random variables sequences
... PAC-Bayesian inequalities for some ran- dom variable ...symmetric random variables and the locally square integrable ...the random variable sequence, without any other dependent condi- ... See full document
8
Complete Convergence for Negatively Dependent Sequences of Random Variables
... The definition of PND is given by Lehmann 2. The concept of ND is given by Bozorgnia et al. 3, and the definition of NA is introduced by Joag-Dev and Proschan 4. These conceptions of dependence random ... See full document
10
Further results and applications on continuous random variables
... new applications of fractional calculus for continuous random variables are ...weighted random variable inequalities are generated and some classical results are deduced as special ... See full document
7
Large deviations for random sums of differences between two sequences of random variables with applications to risk theory
... for some p > J F + and any δ > . Comparing with this condition, (.) is weaker due to Lemma . of Ng et al. []. The condition (.) is also satisfied for, e.g., the renewal counting process generated by ... See full document
9
Fractional integral inequalities for continuous random variables
... integral inequalities play a fundamental role in the theory of differential equations and applied ...type inequalities is also of great ...integral inequalities for the expectation E(X) and the ... See full document
8
Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables
... { X n , n ≥ 1 } is a sequence of ND subgaussian random variables. Since some proofs are the same as Mikosch [7], we abbreviate them. In fact we obtain upper bounds that are greater than upper bounds in ... See full document
5
Inequalities with applications to some k analog random variables
... a random experiment is called a random variable or simply a ...dom variables are usually denoted by capital letters X, Y and Z, while the values associated to them by corresponding small letters x, y ... See full document
14
Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables
... independent random variables such as Taylor [13], Hu et ...negatively dependent and negatively associated random variables namely Liang and Su [10], Liang [9], Huang and Xu [5] and ... See full document
6
Exponential Inequalities for Positively Associated Random Variables and Applications
... exponential inequalities for positively associated random variables without the boundedness ...These inequalities improve the corresponding results obtained by Oliveira ...the ... See full document
11
Some probability inequalities for a class of random variables and their applications
... tant role in various proofs of limit theorems. In particular, it provides a measure of con- vergence rate for the strong law of large numbers. The main purpose of the paper is to present some probability ... See full document
7
ON THE LAWS OF LARGE NUMBERS FOR DEPENDENT RANDOM VARIABLES
... = ∑ X n = S n ( ) / n . Landers and Rogge [8] proved a strong law of large numbers (SLLN) for pairwise independent and strongly uniformly integrable r.v.’s. Chandra and Goswami [3] proved a more general SLLN for pairwise ... See full document
5
A Fixed Point Approach to the Stability of Quintic and Sextic Functional Equations in Quasi Normed Spaces
... In 1996, Isac and Rassias 30 were the first to provide applications of stability theory of functional equations for the proof of new fixed point theorems with applications. The stability problems of several ... See full document
23
Nonlinear Retarded Integral Inequalities with Two Variables and Applications
... The purpose of the present paper is to establish some new nonlinear retarded integral inequalities of Gronwall-Bellman type with two variables. We can demonstrate that inequalities 1.4, 1.5, and 1.7, ... See full document
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