Free Access
Issue |
ESAIM: PS
Volume 17, 2013
|
|
---|---|---|
Page(s) | 725 - 739 | |
DOI | https://doi.org/10.1051/ps/2012019 | |
Published online | 04 November 2013 |
- M. Costeniuc, R.S. Ellis and P. Tak-Hun Otto, Multiple critical behavior of probabilistic limit theorems in the neighborhood of a tricritical point. J. Stat. Phys. 127 (2007) 495–552. [CrossRef] [Google Scholar]
- M. Costeniuc, R.S. Ellis and H. Touchette, Complete analysis of phase transitions and ensemble equivalence for the Curie–Weiss–Potts model. J. Math. Phys. 46 (2005) 063301. [CrossRef] [Google Scholar]
- A. Dembo and O. Zeitouni, Large deviations techniques and applications Stochastic Modelling and Applied Probability. Springer-Verlag, Berlin 38 (2010). Corrected reprint of the second edition (1998). [Google Scholar]
- I.H. Dinwoodie and S.L. Zabell, Large deviations for exchangeable random vectors. Ann. Probab. 20 (1992) 1147–1166. [CrossRef] [Google Scholar]
- C. Dombry and N. Guillotin-Plantard, The Curie–Weiss model with dynamical external field. Markov Process. Related Fields 15 (2009) 1–30. [MathSciNet] [Google Scholar]
- P. Dupuis and R.S. Ellis, A Weak Convergence Approach to the Theory of Large Deviations. Probab. Stat. John Wiley & Sons Inc., New York (1997). A Wiley-Interscience Publication. [Google Scholar]
- P. Eichelsbacher and M. Löwe, Moderate deviations for a class of mean-field models. Markov Process. Related Fields 10 (2004) 345–366. [MathSciNet] [Google Scholar]
- R.S. Ellis, Entropy, large deviations, and statistical mechanics, Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences]. Springer-Verlag, New York 271 (1985). [Google Scholar]
- R.S. Ellis and C.M. Newman, Limit theorems for sums of dependent random variables occurring in statistical mechanics. Z. Wahrsch. Verw. Gebiete 44 (1978) 117–139. [CrossRef] [MathSciNet] [Google Scholar]
- R.S. Ellis, C.M. Newman and J.S. Rosen, Limit theorems for sums of dependent random variables occurring in statistical mechanics II. Conditioning, multiple phases, and metastability. Z. Wahrsch. Verw. Gebiete 51 (1980) 153–169. [CrossRef] [MathSciNet] [Google Scholar]
- M. Formentin, C. Külske and A. Reichenbachs, Metastates in mean-field models with random external fields generated by Markov chains. J. Stat. Phys. 146 (2012) 314–329. [CrossRef] [Google Scholar]
- N. Guillotin-Plantard and R. Schott, Dynamic random walks. Theory and applications. Elsevier B. V., Amsterdam (2006). [Google Scholar]
- M. Löwe and R. Meiners, Moderate Deviations for Random Field Curie–Weiss Models. J. Stat. Phys. 149 (2012) 701–721. [CrossRef] [Google Scholar]
- K. Petersen, Ergodic Theory, vol. 2 of Adv. Math. Cambridge University Press, Cambridge (1983). [Google Scholar]
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