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On a concentration inequality for sums of independent isotropic vectors

   
@article{ECP2063,
	author = {Michael Cranston and Stanislav Molchanov},
	title = {On a concentration inequality for sums of independent isotropic vectors},
	journal = {Electron. Commun. Probab.},
	fjournal = {Electronic Communications in Probability},
	volume = {17},
	year = {2012},
	keywords = {concentration inequality; isotropy},
	abstract = {
We consider a version of a classical concentration inequality for sums of independent, isotropic random vectors with a mild restriction on the distribution of the radial part of these vectors. The proof uses a little Fourier analysis, the Laplace asymptotic method and a conditioning idea that traces its roots to some of the original works on concentration inequalities.
},
	pages = {no. 27, 1-8},
	issn = {1083-589X},
	doi = {10.1214/ECP.v17-2063},    
        url = {http://ecp.ejpecp.org/article/view/2063}}