Litt´ erature
483
68. A. D. Fokker. Die mittlere Energie rotierender elektrischer Dipole im Strahlungsfeld, Ann. Phys. 348 (4. Folge 43), pp. 810–820 (1914).
69. J.P. Fouque, L.H. Sun. Systemic Risk Illustrated, Handbook on Systemic
Risk. Eds J.-P. Fouque and J. Langsam. Cambridge University Press (2013).
70. U. Franz, V. Liebscher, S. Zeiser. Piecewise-deterministic Markov processes
as limits of Markov jump processes. Adv. in Appl. Probab., vol. 44, no. 3, pp.
729–748 (2012).
71. W. H. Furry. On fluctuation phenomena in the passage of high energy electrons
through lead. The Physical Review, vol. 52, pp. 569–581 (1937).
72. D.T. Gillespie. Approximate accelerated stochastic simulation of chemically
reacting systems. J. Chem. Phys, vol. 115, pp. 1716–1733 (2001).
73. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter. Markov Chain
Monte Carlo in Practice. Chapman-Hall/CRC Press (1996).
74. I. Golding, J. Paulsson, S. M. Zawilski, E. C. Cox. Real-time kinetics of
gene activity in individual bacteria. Cell, vol. 123, pp. 1025–1036 (2005).
75. A. Gorban, I. Karlin, V. Zmievskii, S. Dymova. Reduced description in the
reaction kinetics. Physica A, vol. 275, pp. 361–379 (2000).
76. C. Graham, S. M´ el´ eard. Stochastic particle approximations for generalized
Boltzmann models and convergence estimates. Ann. Probab. 25, no. 1, pp. 361–
379 (1997).
77. C. Graham and S. M´ el´ eard. Stochastic particle approximations for generalized Boltzmann models and convergence estimates Ann. Probab., vol. 25, no. 1,
pp. 115–132 (1997).
78. C. Graham. A statistical physics approach to large networks. Probabilistic
models for nonlinear partial differential equations (Montecatini Terme, 1995),
Lecture Notes in Math., Springer Berlin, vol. 1627, pp.127–147 (1996).
79. C. Graham and S. M´ el´ eard. Fluctuations for a fully connected loss network
with alternate routing. Stochastic Process. and Appl., vol. 53, no. 1, pp. 97–115
(1994).
80. C. Graham and S. M´ el´ eard. Chaos hypothesis for a system interacting
through shared resources. Probab. Theory Related Fields, vol. 100, no. 2, pp.
157–173 (1994).
81. C. Graham and S. M´ el´ eard. Propagation of chaos for a fully connected loss
network with alternate routing. Stochastic Process. Appl., vol. 44, no. 1, pp.
159–180 (1993).
82. C. Graham. Nonlinear diffusion with jumps. Ann. Inst. H. Poincar´ e Probab.
Statist., vol. 28, no. 3, pp. 393–402 (1992).
83. C. Graham. McKean-Vlasov Ito-Skorohod equations, and nonlinear diffusions
with discrete jump sets. Stochastic Process. Appl., vol. 40, no. 1, pp. 69–82
(1992).
84. C. Graham. Nonlinear limit for a system of diffusing particles which alternate
between two states. Appl. Math. Optim., vol. 22, no. 1, pp. 75–90 (1990).
85. M. Greenwood. On the statistical measure of infectiousness, J. Hyg. Camb.,
vol. 31, no. 336 (1931).
483
68. A. D. Fokker. Die mittlere Energie rotierender elektrischer Dipole im Strahlungsfeld, Ann. Phys. 348 (4. Folge 43), pp. 810–820 (1914).
69. J.P. Fouque, L.H. Sun. Systemic Risk Illustrated, Handbook on Systemic
Risk. Eds J.-P. Fouque and J. Langsam. Cambridge University Press (2013).
70. U. Franz, V. Liebscher, S. Zeiser. Piecewise-deterministic Markov processes
as limits of Markov jump processes. Adv. in Appl. Probab., vol. 44, no. 3, pp.
729–748 (2012).
71. W. H. Furry. On fluctuation phenomena in the passage of high energy electrons
through lead. The Physical Review, vol. 52, pp. 569–581 (1937).
72. D.T. Gillespie. Approximate accelerated stochastic simulation of chemically
reacting systems. J. Chem. Phys, vol. 115, pp. 1716–1733 (2001).
73. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter. Markov Chain
Monte Carlo in Practice. Chapman-Hall/CRC Press (1996).
74. I. Golding, J. Paulsson, S. M. Zawilski, E. C. Cox. Real-time kinetics of
gene activity in individual bacteria. Cell, vol. 123, pp. 1025–1036 (2005).
75. A. Gorban, I. Karlin, V. Zmievskii, S. Dymova. Reduced description in the
reaction kinetics. Physica A, vol. 275, pp. 361–379 (2000).
76. C. Graham, S. M´ el´ eard. Stochastic particle approximations for generalized
Boltzmann models and convergence estimates. Ann. Probab. 25, no. 1, pp. 361–
379 (1997).
77. C. Graham and S. M´ el´ eard. Stochastic particle approximations for generalized Boltzmann models and convergence estimates Ann. Probab., vol. 25, no. 1,
pp. 115–132 (1997).
78. C. Graham. A statistical physics approach to large networks. Probabilistic
models for nonlinear partial differential equations (Montecatini Terme, 1995),
Lecture Notes in Math., Springer Berlin, vol. 1627, pp.127–147 (1996).
79. C. Graham and S. M´ el´ eard. Fluctuations for a fully connected loss network
with alternate routing. Stochastic Process. and Appl., vol. 53, no. 1, pp. 97–115
(1994).
80. C. Graham and S. M´ el´ eard. Chaos hypothesis for a system interacting
through shared resources. Probab. Theory Related Fields, vol. 100, no. 2, pp.
157–173 (1994).
81. C. Graham and S. M´ el´ eard. Propagation of chaos for a fully connected loss
network with alternate routing. Stochastic Process. Appl., vol. 44, no. 1, pp.
159–180 (1993).
82. C. Graham. Nonlinear diffusion with jumps. Ann. Inst. H. Poincar´ e Probab.
Statist., vol. 28, no. 3, pp. 393–402 (1992).
83. C. Graham. McKean-Vlasov Ito-Skorohod equations, and nonlinear diffusions
with discrete jump sets. Stochastic Process. Appl., vol. 40, no. 1, pp. 69–82
(1992).
84. C. Graham. Nonlinear limit for a system of diffusing particles which alternate
between two states. Appl. Math. Optim., vol. 22, no. 1, pp. 75–90 (1990).
85. M. Greenwood. On the statistical measure of infectiousness, J. Hyg. Camb.,
vol. 31, no. 336 (1931).