On Weak and Strong Ergodicity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s42519-018-0029-0.pdf
Reference12 articles.
1. Anily S, Federgruen A (1987) Simulated annealing methods with general acceptance probabilities. J Appl Probab 24(03):657–667
2. Cruz JR, Dorea CCY (1998) Simple conditions for the convergence of simulated annealing type algorithms. J Appl Probab 35(4):885–892
3. Campos VSM, Pereira AGC, Rojas Cruz JA (2013) Modeling the genetic algorithm by a nonhomogeneous Markov chain: weak and strong ergodicity. Theory Probab Appl 57(1):144–151
4. Dorea CCY, Rojas Cruz JA (2004) Approximation results for non-homogeneous Markov chains and some applications. Sankhya Indian J Stat (2003–2007) 66(2):243–252
5. Isaacson DL, Madsen RW (1976) Markov chains, theory and applications, 4th edn. Wiley, New York
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