Approximation of classes of Poisson integrals by Fejer sums
For upper bounds of the deviations of Fejer sums taken over classes of periodic functions that admit analytic extensions to a fixed strip of the complex plane, we obtain asymptotic equalities.
O. O. Novikov +2 more
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Variational-Based Spatial–Temporal Approximation of Images in Remote Sensing
Cloud cover and shadows often hinder the accurate analysis of satellite images, impacting various applications, such as digital farming, land monitoring, environmental assessment, and urban planning.
Majid Amirfakhrian, Faramarz F. Samavati
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Conditional Poisson process approximation
Point processes are an essential tool when we are interested in where in time or space events occur. The basic starting point for point processes is usually the Poisson process. Over the years, Stein's method has been developed with a great deal of success for Poisson point process approximation.
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On bounds in Poisson approximation for distributions of independent negative-binomial distributed random variables. [PDF]
Hung TL, Giang le T.
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Kerstan's method for compound Poisson approximation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Reply to Sabanés Bové and Held's "comment on Cai and Betensky (2003), on the poisson approximation for hazard regression". [PDF]
Cai T, Betensky R.
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A nonuniform bound for the approximation of Poisson binomial by Poisson distribution
K. Neammanee
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Accelerated inference for stochastic compartmental models with over-dispersed partial observations. [PDF]
Whitehouse M.
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Bounds for survival probabilities in supercritical Galton-Watson processes and applications to population genetics. [PDF]
Bürger R.
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