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Clubbed Binomial Approximation for the Lightbulb Process

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Part of the book series: Lecture Notes in Statistics ((LNSP,volume 205))

Abstract

In the so called lightbulb process, on days \(r=1,\ldots,n,\) out of n lightbulbs, all initially off, exactly r bulbs selected uniformly and independent of the past have their status changed from off to on, or vice versa. With \(W_n\) the number of bulbs on at the terminal time n and \(C_n\) a suitable clubbed binomial distribution,

$$ d_{{{\rm TV}}}(W_n,C_n) \leqslant 2.7314 \sqrt{n} e^{-(n+1)/3} \quad \hbox{for all}\,n \geqslant 1. $$

The result is shown using Stein’s method.

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References

  1. Barbour AD, Holst L, Janson S (1992) Poisson approximation. Oxford University Press, Oxford

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  2. Goldstein L, Zhang H (2010) A Berry-Esseen theorem for the lightbulb process (preprint)

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  3. Rao C, Rao M, Zhang H (2007) One Bulb? Two Bulbs? How many bulbs light up? A discrete probability problem involving dermal patches. Sanky ? 69:137–161

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  4. Zhou H, Lange K (2009) Composition Markov chains of multinomial type. Adv Appl Probab 41:270–291

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Acknowledgments

The authors would like to thank the organizers of the conference held at the National University of Singapore in honor of Louis Chen’s birthday for the opportunity to collaborate on the present work.

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Correspondence to Larry Goldstein .

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© 2012 Springer Science+Business Media, LLC

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Goldstein, L., Xia, A. (2012). Clubbed Binomial Approximation for the Lightbulb Process. In: Barbour, A., Chan, H., Siegmund, D. (eds) Probability Approximations and Beyond. Lecture Notes in Statistics(), vol 205. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1966-2_3

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