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Bayesian Inference on Network Traffic Using Link Count Data (1996)  (Make Corrections)  (29 citations)
Claudia Tebaldi, Mike West
Journal of the American Statistical Association



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Abstract: We study Bayesian models and methods for analysing network traffic counts in problems of inference about the traffic intensity between directed pairs of origins and destinations in networks. This is a class of problems very recently discussed by Vardi in a 1996 JASA article, and of interest in both communication and transportation network studies. The current paper develops the theoretical framework of variants of the origin-destination flow problem, and introduces Bayesian approaches to... (Update)

Cited by:   More
Estimating Point-to-Point and Point-to-Multipoint.. - Zhang, Roughan, Lund, .. (2005)   (Correct)
Fast and Accurate Traffic Matrix Measurement - Using Adaptive Cardinality (2005)   (Correct)
A Factor Graph Approach to Link Loss Monitoring in.. - Mao, Kschischang.. (2005)   (Correct)

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2.9:   Bayesian Analysis Of Network Flow Problems - Tebaldi (1997)   (Correct)
0.9:   Statistical Inference For Gravity Models In Transportation Flow.. - West (1994)   (Correct)
0.4:   Reconstruction Of Contingency Tables With Missing Data - Tebaldi, West (1998)   (Correct)

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21:   Network tomography: Estimating source-destination traffic intensities from link .. (context) - Vardi - 1996
18:   Traffic matrix estimation: Existing techniques compared and new directions - Medina, Taft et al. - 2002
14:   Fast accurate computation of large-scale IP traffic matrices from link loads - Zhang, Roughan et al. - 2003

BibTeX entry:   (Update)

Claudia Tebaldi and Mike West. Bayesian inference on network traffic using link count data. Technical report, Institute of Statistics and Decision Sciences Working Paper 16, Duke University, 1996. http://citeseer.ist.psu.edu/tebaldi96bayesian.html   More

@article{ tebaldi98bayesian,
    author = "Claudia Tebaldi and Mike West",
    title = "{Bayesian} Inference on Network Traffic Using Link Count Data",
    journal = "Journal of the American Statistical Association",
    volume = "93",
    number = "442",
    pages = "557--576",
    year = "1998",
    url = "citeseer.ist.psu.edu/tebaldi96bayesian.html" }
Citations (may not include all citations):
744   Matrix Computations (context) - Golub, Van Loan - 1983
461   Markov Chain Monte Carlo in Practice (context) - Gilks, Richardson et al. - 1996
381   Markov chains for exploring posterior distributions (context) - Tierney - 1994
79   Network tomography: Estimating source-destination traffic in.. (context) - Vardi - 1996
27   Urban Transportation Networks: Equilibrium Analysis with Mat.. (context) - Sheffi - 1985
15   CODA: Convergence diagnosis and output analysis software for.. - Best, Cowles et al. - 1995
6   The most likely trip matrix estimated from traffic counts (context) - Van Zuylen, Willumsen - 1980
5   INTEGRATION: An overview of traffic simulation features (context) - Van Aerde, Hellinga et al. - 1996
5   Inferences on trip matrices from observations on link volume.. (context) - Maher - 1983
4   Poisson gravity models of spatial flows (context) - Smith - 1987
3   Maximum likelihood estimation of gravity model parameters (context) - Sen - 1986
3   Implementation and solution of a large asymmetric network eq.. (context) - Berka, Boyce - 1994
3   Statistical inference for gravity models in transportation f.. - West - 1994
2   A regression formulation of the matrix estimation problem (context) - McNeil, Hendrickson - 1985



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