Abstract
Theorem 2.2 of Majumdar (Sankhyā 67:670–673, 2005) obtained two conditions that are necessary and jointly sufficient for weak convergence in \( {\mathcal{M}}\left({H}\right)\). In this note we significantly relax the second condition while maintaining the joint sufficiency.
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References
Billingsley, P. (1999). Convergence of probability measures. Wiley, NY.
Dudely, R.M. (1989). Real analysis and probability. Wadsworth and Brooks-Cole, CA.
Majumdar, Suman (2005). On weak convergence in \({\mathcal{M}}\left({H}\right)\). Sankhyā, 67, Part 4, 670–673.
Parthasarathy, K.R. (1967). Probability measures on metric spaces. Academic Press, NY.
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Kundu, S., Majumdar, S. & Sengupta, A. On weak convergence in \(\mathcal{M}\left({H}\right)\): relaxation of a sufficient condition. Sankhya A 76, 146–149 (2014). https://doi.org/10.1007/s13171-013-0039-7
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DOI: https://doi.org/10.1007/s13171-013-0039-7