Results 1 to 10 of about 2,820 (52)

The number of distinct adjacent pairs in geometrically distributed words: a probabilistic and combinatorial analysis [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2023
The analysis of strings of $n$ random variables with geometric distribution has recently attracted renewed interest: Archibald et al. consider the number of distinct adjacent pairs in geometrically distributed words.
Guy Louchard   +2 more
doaj   +1 more source

The Variance and the Asymptotic Distribution of the Length of Longest $k$-alternating Subsequences [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2023
We obtain an explicit formula for the variance of the number of $k$-peaks in a uniformly random permutation. This is then used to obtain an asymptotic formula for the variance of the length of longest $k$-alternating subsequence in random permutations ...
Altar Çiçeksiz   +2 more
doaj   +1 more source

Central and local limit theorems for the weighted Delannoy numbers

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
In this research we generalize our result for numbers satisfying the Delannoy triangle. We obtain a central limit theorem and a local limit theorem for weighted numbers of the triangle and establish the rate of convergence to the limiting (normal ...
Belovas Igoris
doaj   +1 more source

Counterexamples to the classical central limit theorem for triplewise independent random variables having a common arbitrary margin

open access: yesDependence Modeling, 2021
We present a general methodology to construct triplewise independent sequences of random variables having a common but arbitrary marginal distribution F (satisfying very mild conditions).
Beaulieu Guillaume Boglioni   +2 more
doaj   +1 more source

Exploiting neighborhood interference with low-order interactions under unit randomized design

open access: yesJournal of Causal Inference, 2023
Network interference, where the outcome of an individual is affected by the treatment assignment of those in their social network, is pervasive in real-world settings. However, it poses a challenge to estimating causal effects.
Cortez-Rodriguez Mayleen   +2 more
doaj   +1 more source

A Lasso approach to covariate selection and average treatment effect estimation for clustered RCTs using design-based methods

open access: yesJournal of Causal Inference, 2022
Statistical power is often a concern for clustered randomized control trials (RCTs) due to variance inflation from design effects and the high cost of adding study clusters (such as hospitals, schools, or communities).
Schochet Peter Z.
doaj   +1 more source

On death processes and urn models [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2012
We use death processes and embeddings into continuous time in order to analyze several urn models with a diminishing content. In particular we discuss generalizations of the pill's problem, originally introduced by Knuth and McCarthy, and generalizations
Markus Kuba, Alois Panholzer
doaj   +1 more source

Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors

open access: yesOpen Mathematics, 2020
In this article, an errors-in-variables regression model in which the errors are negatively superadditive dependent (NSD) random variables is studied. First, the Marcinkiewicz-type strong law of large numbers for NSD random variables is established. Then,
Zhang Yu   +3 more
doaj   +1 more source

Lattice paths with catastrophes [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2017
In queuing theory, it is usual to have some models with a "reset" of the queue. In terms of lattice paths, it is like having the possibility of jumping from any altitude to zero.
Cyril Banderier, Michael Wallner
doaj   +1 more source

Variance and Covariance of Several Simultaneous Outputs of a Markov Chain [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2016
The partial sum of the states of a Markov chain or more generally a Markov source is asymptotically normally distributed under suitable conditions. One of these conditions is that the variance is unbounded.
Sara Kropf
doaj   +1 more source

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