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Coupling bounds for approximating birth-death processes by truncation. (English) Zbl 1382.60098

Summary: Birth-death processes are continuous-time Markov counting processes. Approximate moments can be computed by truncating the transition rate matrix. Using a coupling argument, we derive bounds for the total variation distance between the process and its finite approximation.

MSC:

60J27 Continuous-time Markov processes on discrete state spaces
Full Text: DOI

References:

[1] Andersson, H.; Britton, T., (Stochastic Epidemic Models and their Statistical Analysis. Stochastic Epidemic Models and their Statistical Analysis, Lecture Notes in Statistics (2000), Springer: Springer New York) · Zbl 0951.92021
[2] Crawford, F. W.; Minin, V. N.; Suchard, M. A., Estimation for general birth-death processes, J. Amer. Statist. Assoc., 109, 506, 730-747 (2014) · Zbl 1367.62245
[3] Crawford, F. W.; Suchard, M. A., Transition probabilities for general birth-death processes with applications in ecology, genetics, and evolution, J. Math. Biol., 65, 553-580 (2012) · Zbl 1252.92053
[4] Demmel, J. W.; Marques, O. A.; Parlett, B. N.; Vömel, C., Performance and accuracy of LAPACK’s symmetric tridiagonal eigensolvers, SIAM J. Sci. Comput., 30, 3, 1508-1526 (2008) · Zbl 1165.65014
[5] Dhillon, I. S.; Parlett, B. N., Multiple representations to compute orthogonal eigenvectors of symmetric tridiagonal matrices, Linear Algebra Appl., 387, 1-28 (2004) · Zbl 1055.65048
[7] Faddy, M., Extended Poisson process modelling and analysis of count data, Biom. J., 39, 4, 431-440 (1997) · Zbl 0890.62074
[8] Flajolet, P.; Guillemin, F., The formal theory of birth-and-death processes, lattice path combinatorics and continued fractions, Adv. Appl. Probab., 32, 3, 750-778 (2000) · Zbl 0966.60069
[9] Guillemin, F.; Pinchon, D., Continued fraction analysis of the duration of an excursion in an \(M / M / \infty\) system, J. Appl. Probab., 35, 1, 165-183 (1998) · Zbl 0906.60050
[10] Ismail, M. E.H.; Letessier, J.; Valent, G., Linear birth and death models and associated Laguerre and Meixner polynomials, J. Approx. Theory, 55, 3, 337-348 (1988) · Zbl 0656.60092
[11] Karlin, S.; McGregor, J., The differential equations of birth-and-death processes, and the Stieltjes moment problem, Trans. Amer. Math. Soc., 85, 2, 589-646 (1957) · Zbl 0091.13801
[12] Kendall, D. G., On the generalized “birth-and-death” process, Ann. Math. Statist., 19, 1, 1-15 (1948) · Zbl 0032.17604
[13] Kendall, D. G., Stochastic processes and population growth, J. R. Stat. Soc. Ser. B, 11, 2, 230-282 (1949) · Zbl 0038.08803
[14] Klar, B.; Parthasarathy, P. R.; Henze, N., Zipf and Lerch limit of birth and death processes, Probab. Engrg. Inform. Sci., 24, 01, 129-144 (2010) · Zbl 1192.60096
[15] Lange, K., (Applied Probability. Applied Probability, Springer texts in statistics (2010), Springer: Springer New York) · Zbl 1216.62001
[16] Lindvall, T., Lectures on the Coupling Method (2002), Courier Corporation · Zbl 1013.60001
[17] Moran, P. A.P., Random processes in genetics, Math. Proc. Camb. Phil. Soc., 54, 01, 60-71 (1958) · Zbl 0091.15701
[18] Murphy, J. A.; O’Donohoe, M. R., Some properties of continued fractions with applications in Markov processes, IMA J. Appl. Math., 16, 1, 57-71 (1975) · Zbl 0314.65057
[19] Nåsell, I., Moment closure and the stochastic logistic model, Theor. Popul. Biol., 63, 2, 159-168 (2003) · Zbl 1104.92052
[20] Novozhilov, A. S.; Karev, G. P.; Koonin, E. V., Biological applications of the theory of birth-and-death processes, Brief. Bioinform., 7, 1, 70-85 (2006)
[21] Renshaw, E., Stochastic Population Processes: Analysis, Approximations, Simulations (2011), Oxord University Press · Zbl 1303.92001
[22] Tan, W. Y.; Piantadosi, S., On stochastic growth processes with application to stochastic logistic growth, Statist. Sinica, 1, 527-540 (1991) · Zbl 0822.60078
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