
We prove a general theorem to bound the total variation distance between the distribution of an integer valued random variable of interest and an appropriate discretized normal distribution. We apply the theorem to 2-runs in a sequence of i.i.d. Bernoulli random variables, the number of vertices with a given degree in the Erd��s-R��nyi random graph, and the uniform multinomial occupancy model.
Published in at http://dx.doi.org/10.3150/13-BEJ527 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
local dependence, exchangeable pairs, Probability (math.PR), FOS: Mathematics, discretized normal approximation, Stein coupling, Stein’s method, size biasing, Mathematics - Probability
local dependence, exchangeable pairs, Probability (math.PR), FOS: Mathematics, discretized normal approximation, Stein coupling, Stein’s method, size biasing, Mathematics - Probability
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