Abstract
As indicated in the previous chapter, stable convergence of random variables can be seen as suitable convergence of Markov kernels given by conditional distributions. The required facts from the theory of weak convergence of Markov kernels will be presented in this chapter.
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© 2015 Springer International Publishing Switzerland
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Häusler, E., Luschgy, H. (2015). Weak Convergence of Markov Kernels. In: Stable Convergence and Stable Limit Theorems. Probability Theory and Stochastic Modelling, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-18329-9_2
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DOI: https://doi.org/10.1007/978-3-319-18329-9_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18328-2
Online ISBN: 978-3-319-18329-9
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