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All issues Volume 9 (June 2005) ESAIM: PS, 9 (2005) 241-253 References
Free Access
Issue
ESAIM: PS
Volume 9, June 2005
Page(s) 241 - 253
DOI https://doi.org/10.1051/ps:2005012
Published online 15 November 2005
  1. O. Barndorff-Nielsen, Information and Exponential Families. Wiley, New York (1978). [Google Scholar]
  2. T. Bu, N. Duffield, F. Lo Presti and D. Towsley, Network tomography on general topologies. Proc. ACM Sigmetrics 2002, Marina Del Ray, June 15–19 (2002). [Google Scholar]
  3. R. Cáceres, N.G. Duffield, J. Horowitz, D. Towsley and T. Bu, Multicast-based inference of network internal characteristics: accuracy of packet loss estimation. IEEE Trans. Inform. Theory 45 (2000) 2462–2480. [Google Scholar]
  4. M. Coates, A.O. Hero, R. Nowak and B. Yu, Internet tomography. IEEE Signal Processing Magazine 19 (2002) 47–65. [CrossRef] [Google Scholar]
  5. J.N. Darroch and D. Ratcliff, Generalized iterative scaling for log-linear models. Ann. Math. Stat. 43 (1972) 1470–1480. [CrossRef] [Google Scholar]
  6. A.P. Dempster, N.M. Laird and D.B. Rubin, Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. B 39 (1997) 1–38. [Google Scholar]
  7. I.H. Dinwoodie and E. Mosteig, Statistical inference for network reliability with spatial dependence. SIAM J. Discrete Math. 16 (2003) 663–674. [CrossRef] [MathSciNet] [Google Scholar]
  8. N. Duffield, J. Horowitz, D. Towsley, W. Wei and T. Friedman, Multicast-based loss inference with missing data. IEEE J. Selected Areas Communications 20 (2002) 700–713. [CrossRef] [Google Scholar]
  9. C. Ji and A. Elwalid, Measurement-based network monitoring and inference: scalability and missing information. IEEE J. Selected Areas Communications 20 (2002) 714–725. [CrossRef] [Google Scholar]
  10. G. Liang and B. Yu, Maximum pseudo-likelihood estimation in network tomography. IEEE Trans. Signal Process. 51 (2003) 2043–2053. [CrossRef] [Google Scholar]
  11. M. Marcus and H. Minc, A Survey of Matrix Theory and Matrix Inequalities. Allyn and Bacon, Boston (1964). [Google Scholar]
  12. P. Parrilo and B. Sturmfels, Minimizing polynomial functions. http://xyz.lanl.gov/abs/math.OC/0103170 (2002). [Google Scholar]
  13. Y. Tsang, M. Coates and R. Nowak, Passive network tomography using EM algorithms. Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, Utah 3 (May 2001) 1469–1472. [Google Scholar]
  14. C.F. Jeff Wu, On the convergence of the EM algorithm. Ann. Statist. 11 (1983) 95–103. [Google Scholar]
  15. B. Xi, G. Michailidis and V.N. Nair, Estimating network internal losses using a new class of probing experiments. University of Michigan Department of Statistics Technical Report 397 (2003). [Google Scholar]

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