منابع مشابه
New Rates for Exponential Approximation and the Theorems of Rényi and Yaglom1 by Erol
We introduce two abstract theorems that reduce a variety of complex exponential distributional approximation problems to the construction of couplings. These are applied to obtain new rates of convergence with respect to the Wasserstein and Kolmogorov metrics for the theorem of Rényi on random sums and generalizations of it, hitting times for Markov chains, and to obtain a new rate for the clas...
متن کاملGeneralized Gamma Approximation with Rates for Urns, Walks and Trees by Erol
We study a new class of time inhomogeneous Pólya-type urn schemes and give optimal rates of convergence for the distribution of the properly scaled number of balls of a given color to nearly the full class of generalized gamma distributions with integer parameters, a class which includes the Rayleigh, half-normal and gamma distributions. Our main tool is Stein’s method combined with characteriz...
متن کاملDegree Asymptotics with Rates for Preferential Attachment Random Graphs1 by Erol
We provide optimal rates of convergence to the asymptotic distribution of the (properly scaled) degree of a fixed vertex in two preferential attachment random graph models. Our approach is to show that these distributions are unique fixed points of certain distributional transformations which allows us to obtain rates of convergence using a new variation of Stein’s method. Despite the large lit...
متن کاملEROL scale: a new behavioural olfactory measure and its relationship with anxiety and depression symptoms.
INTRODUCTION The main objective of this study was to develop and validate a new olfactory measure that assesses the influence of olfaction on several emotional, behavioural, and cognitive issues: The Relational Scale of Olfaction (EROL). A secondary objective was to explore the relationship between the olfactory function and the anxiety and depression symptoms by means of EROL and the Hospital ...
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ژورنال
عنوان ژورنال: Clinical Neurophysiology
سال: 2018
ISSN: 1388-2457
DOI: 10.1016/j.clinph.2017.11.008