Distribution-uniform strong laws of large numbers

التفاصيل البيبلوغرافية
العنوان: Distribution-uniform strong laws of large numbers
المؤلفون: Waudby-Smith, Ian, Larsson, Martin, Ramdas, Aaditya
سنة النشر: 2024
المجموعة: Mathematics
Statistics
مصطلحات موضوعية: Mathematics - Probability, Mathematics - Statistics Theory
الوصف: We revisit the question of whether the strong law of large numbers (SLLN) holds uniformly in a rich family of distributions, culminating in a distribution-uniform generalization of the Marcinkiewicz-Zygmund SLLN. These results can be viewed as extensions of Chung's distribution-uniform SLLN to random variables with uniformly integrable $q^\text{th}$ absolute central moments for $0 < q < 2;\ q \neq 1$. Furthermore, we show that uniform integrability of the $q^\text{th}$ moment is both sufficient and necessary for the SLLN to hold uniformly at the Marcinkiewicz-Zygmund rate of $n^{1/q - 1}$. These proofs centrally rely on distribution-uniform analogues of some familiar almost sure convergence results including the Khintchine-Kolmogorov convergence theorem, Kolmogorov's three-series theorem, a stochastic generalization of Kronecker's lemma, and the Borel-Cantelli lemmas. The non-identically distributed case is also considered.
Comment: 35 pages
نوع الوثيقة: Working Paper
الوصول الحر: http://arxiv.org/abs/2402.00713Test
رقم الانضمام: edsarx.2402.00713
قاعدة البيانات: arXiv