Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (3)

Search Parameters:
Keywords = Hoeffding’s inequality

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
8 pages, 433 KB  
Article
An Evolutionary View on Equilibrium Models of Transport Flows
by Evgenia Gasnikova, Alexander Gasnikov, Yaroslav Kholodov and Anastasiya Zukhba
Mathematics 2023, 11(4), 858; https://doi.org/10.3390/math11040858 - 8 Feb 2023
Cited by 4 | Viewed by 1702
Abstract
In this short paper, we describe natural logit population games dynamics that explain equilibrium models of origin-destination matrix estimation and (stochastic) traffic assignment models (Beckmann, Nesterov–de Palma). Composition of the proposed dynamics allows to explain two-stages traffic assignment models. Full article
Show Figures

Figure 1

8 pages, 273 KB  
Article
The Convergence Rate of High-Dimensional Sample Quantiles for φ-Mixing Observation Sequences
by Ling Peng and Dong Han
Mathematics 2021, 9(6), 647; https://doi.org/10.3390/math9060647 - 18 Mar 2021
Viewed by 1925
Abstract
In this paper, we obtain the convergence rate for the high-dimensional sample quantiles with the φ-mixing dependent sequence. The resulting convergence rate is shown to be faster than that obtained by the Hoeffding-type inequalities. Moreover, the convergence rate of the high-dimensional sample [...] Read more.
In this paper, we obtain the convergence rate for the high-dimensional sample quantiles with the φ-mixing dependent sequence. The resulting convergence rate is shown to be faster than that obtained by the Hoeffding-type inequalities. Moreover, the convergence rate of the high-dimensional sample quantiles for the observation sequence taking discrete values is also provided. Full article
13 pages, 345 KB  
Article
Non-Asymptotic Confidence Sets for Circular Means
by Thomas Hotz, Florian Kelma and Johannes Wieditz
Entropy 2016, 18(10), 375; https://doi.org/10.3390/e18100375 - 20 Oct 2016
Cited by 4 | Viewed by 5394
Abstract
The mean of data on the unit circle is defined as the minimizer of the average squared Euclidean distance to the data. Based on Hoeffding’s mass concentration inequalities, non-asymptotic confidence sets for circular means are constructed which are universal in the sense that [...] Read more.
The mean of data on the unit circle is defined as the minimizer of the average squared Euclidean distance to the data. Based on Hoeffding’s mass concentration inequalities, non-asymptotic confidence sets for circular means are constructed which are universal in the sense that they require no distributional assumptions. These are then compared with asymptotic confidence sets in simulations and for a real data set. Full article
(This article belongs to the Special Issue Differential Geometrical Theory of Statistics)
Show Figures

Figure 1

Back to TopTop