Results 41 to 50 of about 569,923 (314)

On high-frequency limits of $U$-statistics in Besov spaces over compact manifolds [PDF]

open access: yes, 2016
In this paper, quantitative bounds in high-frequency central limit theorems are derived for Poisson based $U$-statistics of arbitrary degree built by means of wavelet coefficients over compact Riemannian manifolds. The wavelets considered here are the so-
Bourguin, Solesne, Durastanti, Claudio
core   +2 more sources

Poisson limits for U-statistics

open access: yesStochastic Processes and their Applications, 2002
In the first part of the paper point processes of structure like a \(U\)-statistic with a symmetric non-negative kernel are considered and their convergence to a Poisson process is established under conditions of regularity and asymptotic independence. The result is then utilized to obtain \(\alpha \)-stable limits for \(U\)-statistics with heavy right-
Dabrowski, André R   +3 more
openaire   +2 more sources

The LIL for $U$-statistics in Hilbert spaces

open access: yes, 2007
We give necessary and sufficient conditions for the (bounded) law of the iterated logarithm for $U$-statistics in Hilbert spaces. As a tool we also develop moment and tail estimates for canonical Hilbert-space valued $U$-statistics of arbitrary order ...
C. Houdré   +19 more
core   +1 more source

Asymptotics for the Moment Convergence of U-Statistics in LIL

open access: yesJournal of Inequalities and Applications, 2010
Let Un be a U-statistic based on a symmetric kernel h(x,y) and i.i.d. samples {X,Xn;n≥1}. In this paper, the exact moment convergence rates in the law of the iterated logarithm and the law of the logarithm of Un are obtained, which extend previous
Ke-Ang Fu
doaj   +1 more source

Moment inequalities for U-statistics

open access: yes, 2007
We present moment inequalities for completely degenerate Banach space valued (generalized) U-statistics of arbitrary order. The estimates involve suprema of empirical processes which, in the real-valued case, can be replaced by simpler norms of the ...
Adamczak, Radosław
core   +1 more source

Second-order ResU-Net for automatic MRI brain tumor segmentation

open access: yesMathematical Biosciences and Engineering, 2021
Tumor segmentation using magnetic resonance imaging (MRI) plays a significant role in assisting brain tumor diagnosis and treatment. Recently, U-Net architecture with its variants have become prevalent in the field of brain tumor segmentation.
Ning Sheng   +4 more
doaj   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

Asymptotic distributions of degenerated U-statistics

open access: yesStatistical Theory and Related Fields
A degenerated U-statistic with rank 2 is known to converge in distribution to a weighted sum of independent chi-square random variables. However, a result for the asymptotic distribution of a degenerated U-statistic with rank higher than 2 is not ...
Jun Shao
doaj   +1 more source

On a Less Cumbersome Method of Estimation of Parameters of Type III Generalized Logistic Distribution by Order Statistics

open access: yesStatistica, 2015
In this work we have derived appropriate U-statistics from a sample of any size exceeding a specified integer to estimate the location and scale parameters of Type III generalized logistic distribution without the knowledge or by evaluation of the means,
Poruthiyudian Yageen Thomas, R. R. Priya
doaj   +1 more source

Estimating invariant laws of linear processes by U-statistics [PDF]

open access: yes, 2004
Suppose we observe an invertible linear process with independent mean-zero innovations and with coefficients depending on a finite-dimensional parameter, and we want to estimate the expectation of some function under the stationary distribution of the ...
Schick, Anton, Wefelmeyer, Wolfgang
core   +2 more sources

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