Large Deviations For Performance Analysis
By A. Weiss, Adam Shwartz. 2019
310 citations recorded by the source corpus.
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Subfields: Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2504377b28223876e104fd1e6f4a05a26e6edfd6
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In Management Information Systems
In Management Science and Operations Research
Citations in the corpus
- Loss networks (2009, background): “For an excellent introduction to this see, for instance, Shwartz and Weiss (1994); later papers include those by Simonian et al. (1997) and by Graham and O’Connell (2000).”
- Convergence, fluctuations and large deviations for finite state mean field games via the Master Equation (2017, background): “ny individual. The fluctuations are derived e.g. in [11], via the martingale problem, and in [12], by analyzing the infinitesimal generator. The large deviation properties are found e.g. in [29], [33], [32], and, more recently, in [14]. The key point for proving these results is to compare the prelimi”
- Differential equation approximations for Markov chains (2007, background): “See [3] on epidemiology and [21] on communications and computer networks.”
- Large Deviations for Stochastic Processes (2006, unknown): “Other approaches to large deviation theory are considered in Dembo and Zeitouni [3], den Hollander [4], Deuschel and Stroock [6], Dupuis and Ellis [7], Freidlin and Wentzell [9], Kallenberg [12], Shwartz and Weiss [ 14 ], Varadhan [16].”
- On the complexity of sphere decoding in digital communications (2005, methodology): “The rate function for this case is given by [17]”