Search Results - "Vellaisamy, P."

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  1. 1

    Marginal log‐linear parameters and their collapsibility for categorical data by Ghosh, Sayan, Vellaisamy, P.

    Published in Statistica Neerlandica (01-08-2024)
    “…Collapsibility is a practical and useful technique for dimension reduction in multidimensional contingency tables. In this paper, we consider marginal…”
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  2. 2

    A bivariate generalized linear exponential distribution: properties and estimation by Pathak, A. K., Vellaisamy, P.

    “…This article introduces a new family of bivariate generalized linear exponential (BGLE) distributions, whose marginals are generalized linear exponential (GLE)…”
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  3. 3

    On Probabilistic Proofs of Certain Binomial Identities by Vellaisamy, P.

    Published in The American statistician (03-07-2015)
    “…This short note gives a simple statistical proof of a binomial identity, by evaluating the Laplace transform of the maximum of n independent exponential random…”
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  4. 4

    Collapsibility of some association measures and survival models by Vellaisamy, P.

    “…Collapsibility deals with the conditions under which a conditional (on a covariate W ) measure of association between two random variables Y and X equals the…”
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  5. 5

    On the long-range dependence of fractional Poisson and negative binomial processes by Maheshwari, A., Vellaisamy, P.

    Published in Journal of applied probability (01-12-2016)
    “…We discuss the short-range dependence (SRD) property of the increments of the fractional Poisson process, called the fractional Poissonian noise. We also…”
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  6. 6

    Distributed-order fractional diffusions on bounded domains by Meerschaert, Mark M., Nane, Erkan, Vellaisamy, P.

    “…Fractional derivatives can be used to model time delays in a diffusion process. When the order of the fractional derivative is distributed over the unit…”
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  7. 7

    Binomial Approximation to Locally Dependent Collateralized Debt Obligations by Kumar, Amit N., Vellaisamy, P.

    “…In this paper, we develop Stein’s method for binomial approximation using the stop-loss metric that allows one to obtain a bound on the error term between the…”
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  8. 8

    Fractional Poisson Process Time-Changed by Lévy Subordinator and Its Inverse by Maheshwari, A., Vellaisamy, P.

    Published in Journal of theoretical probability (01-09-2019)
    “…In this paper, we study the fractional Poisson process (FPP) time-changed by an independent Lévy subordinator and the inverse of the Lévy subordinator, which…”
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  9. 9

    Fractional Cauchy Problems on Bounded Domains by Meerschaert, Mark M., Nane, Erkan, Vellaisamy, P.

    Published in The Annals of probability (01-05-2009)
    “…Fractional Cauchy problems replace the usual first-order time derivative by a fractional derivative. This paper develops classical solutions and stochastic…”
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  10. 10

    Compound Poisson Approximations in ℓp-norm for Sums of Weakly Dependent Vectors by Čekanavičius, V., Vellaisamy, P.

    “…The distribution of the sum of 1-dependent lattice vectors with supports on coordinate axes is approximated by a multivariate compound Poisson distribution and…”
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  11. 11

    A Probabilistic Extension of the Fubini Polynomials by Soni, R., Pathak, A. K., Vellaisamy, P.

    “…In this paper, we present a probabilistic extension of the Fubini polynomials and numbers associated with a random variable satisfying some appropriate moment…”
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  12. 12

    On Distributions of Certain State-Dependent Fractional Point Processes by Kataria, K. K., Vellaisamy, P.

    Published in Journal of theoretical probability (01-09-2019)
    “…We obtain the explicit expressions for the state probabilities of various state-dependent versions of fractional point processes. The inversion of the Laplace…”
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  13. 13

    Non-homogeneous space-time fractional Poisson processes by Maheshwari, A., Vellaisamy, P.

    Published in Stochastic analysis and applications (04-03-2019)
    “…The space-time fractional Poisson process (STFPP), defined by Orsingher and Poilto (2012), is a generalization of the time fractional Poisson process (TFPP)…”
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  14. 14

    On transmuted generalized linear exponential distribution by Ghosh, S., Kataria, K. K., Vellaisamy, P.

    “…In this paper, we introduce a transmuted generalized linear exponential distribution (TGLED) through the quadratic rank transmutation function studied by Shaw…”
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  15. 15

    First-exit times of an inverse Gaussian process by Vellaisamy, P., Kumar, A.

    Published in Stochastics (Abingdon, Eng. : 2005) (02-01-2018)
    “…The first-exit time process of an inverse Gaussian Lévy process is considered. The one-dimensional distribution functions of the process are obtained. They are…”
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  16. 16

    Space-Fractional Versions of the Negative Binomial and Polya-Type Processes by Beghin, L., Vellaisamy, P.

    “…In this paper, we introduce a space fractional negative binomial process (SFNB) by time-changing the space fractional Poisson process by a gamma subordinator…”
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  17. 17

    Sequelae of Prospective versus Retrospective Reports of Adverse Childhood Experiences by Hardt, J., Vellaisamy, P., Schoon, I.

    Published in Psychological reports (01-10-2010)
    “…Retrospective assessment of adverse childhood experiences is widely used in research, although there are concerns about its validity. In particular, recall…”
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  18. 18

    On large deviations for sums of discrete m-dependent random variables by Čekanavičius, V., Vellaisamy, P.

    Published in Stochastics (Abingdon, Eng. : 2005) (17-11-2019)
    “…The ratio is investigated for three cases: (a) when is a sum of 1-dependent non-negative integer-valued random variables (rvs), satisfying some moment…”
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  19. 19

    Infinitely Divisible Approximations for Sums of m-Dependent Random Variables by Vellaisamy, P., Čekanavičius, V.

    Published in Journal of theoretical probability (01-12-2018)
    “…Assuming conditions on factorial cumulants, we estimate the closeness of distribution of a sum of nonnegative integer-valued m -dependent random variables to…”
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  20. 20

    Average Collapsibility of Distribution Dependence and Quantile Regression Coefficients by VELLAISAMY, P.

    Published in Scandinavian journal of statistics (01-03-2012)
    “…The Yule-Simpson paradox notes that an association between random variables can be reversed when averaged over a background variable. Cox and Wermuth…”
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