2011/10/17 by Alexander Iksanov, Iksanov, Alexander
Computer Science · Economics, Econometrics and Finance · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Financial Risk and Volatility Modeling #Probability (math.PR) #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.1110.3713
openalex publication_date 2011/10/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The Bernoulli sieve is the infinite "balls-in-boxes" occupancy scheme with random frequencies Pk=W1... Wk-1(1-Wk), where (Wk)k∈\mn are independent copies of a random variable W taking values in (0,1). Assuming that the number of balls equals n, let Ln denote the number of empty boxes within the occupancy range. In the paper we investigate convergence in distribution of Ln in the two cases which remained open after the previous studies. In particular, provided that \me |log W|=\me |log (1-W)|=∞ and that the law of W assigns comparable masses to the neighborhoods of 0 and 1, it is shown that Ln weakly converges to a geometric law. This result is derived as a corollary to a more general assertion concerning the number of zero decrements of nonincreasing Markov chains. In the case that \me |log W|