Muster und Alignments in zufälligen Zeichenketten - Abteilung für ...

86 Literaturverzeichnis
[10] Balakrishnan, Narayanaswamy und Koutras, Markos V.: Runs
and Scans with Applications. John Wiley & Sons, 2002.
[11] Barbour, Andrew D.: Topics in Poisson approximation. http://
www.math.unizh.ch/~adb/.
[12] Barbour, Andrew D.; Holst, Lars und Janson, Svante: Poisson
Approximation. Oxford University Press, 1992.
[13] Barbour, Andrew D. und Månsson, Marianne: Compound Poisson
Process Approximation. The Annals of Probability, Band 30, Seite 1492–
1537, 2002.
[14] Baum, Leonard E. und Petrie, Ted: Statistical inference for probabilistic
functions of finite state Markov chains. Annals of Mathematical Statistics,
Band 37, Seite 1554–1563, 1966.
[15] Behrends, Ehrhard: Introduction to Markov Chains. With Special Emphasis
on Rapid Mixing. Vieweg & Sohn Verlagsgesellschaft, 2000.
[16] Bickel, Peter J. und Wichura, Michael J.: Convergence criteria for
multiparameter stochastic processes and some applications. Annals of Mathematical
Statistics, Band 42, Seite 1656–1670, 1971.
[17] Billingsley, Patrick: Convergence of Probability Measures. John Wiley
& Sons, 1968.
[18] Bishop, M. J. und Rawlings, C. J. (Herausgeber): DNA and Protein
Sequence Analysis. Oxford University Press, 1997.
[19] Borovkov, K. A.: A functional form of the Erdös–Rényi law of large numbers.
Theory of Probability and its Applications, Band 35, Seite 762–766,
1990.
[20] Bourdon, Jérémie und Vallée, Brigitte: Generalized Pattern Matching
Statistics. In: Chauvin, Brigitte et al. (Herausgeber):
Mathematics and Computer Science II. Algorithms, trees, combinatorics
and probabilities. Proceedings of the 2nd colloquium, Versailles–St.-
Quentin, France, September 16–19. Basel, Seite 249–265. Birkhäuser, 2002.
http://users.info.unicaen.fr/~bourdon/.
[21] Brémaud, Pierre: Markov Chains. Gibbs Fields, Monte Carlo Simulation,
and Queues. Springer-Verlag, 1999.
[22] Bucklew, James A.: Large Deviation Techniques in Decision, Simulation,
and Estimation. Wiley & Sons, 1990.