Results 61 to 70 of about 585,442 (265)
On weighted U-statistics for stationary processes
, 2004 A weighted U-statistic based on a random sample X_1,...,X_n has the form U_n=\sum_{1\le i,j\le n}w_{i-j}K(X_i,X_j), where K is a fixed symmetric measurable function and the w_i are symmetric weights.
Hsing, Tailen, Wu, Wei Biao
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell +3 more
wiley +1 more source
Approximations for multivariate U-statistics
Journal of Multivariate Analysis, 1987 Let \(X_ 1,X_ 2,..\). be independent, identically distributed random variables with values in a measurable space (\({\mathcal X},{\mathcal F})\) and let \(H: {\mathcal X}\times {\mathcal X}\to {\mathbb{R}}^ k\) be measurable and symmetric. The author derives a Berry-Esseen type approximation and an Edgeworth expansion of order up to \(o(N^{-})\) of the
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
Extending Gossip Algorithms to Distributed Estimation of U-Statistics [PDF]
, 2015 Efficient and robust algorithms for decentralized estimation in networks are essential to many distributed systems. Whereas distributed estimation of sample mean statistics has been the subject of a good deal of attention, computation of $U$-statistics ...
Bellet, Aurélien +3 more
core +2 more sources
Cram\'{e}r-type moderate deviations for Studentized two-sample $U$-statistics with applications
, 2016 Two-sample $U$-statistics are widely used in a broad range of applications, including those in the fields of biostatistics and econometrics. In this paper, we establish sharp Cram\'{e}r-type moderate deviation theorems for Studentized two-sample $U ...
Chang, Jinyuan +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Acta Societatis Botanicorum Poloniae, 2015 The taxonomic value of phytolith assemblages and their degree of variability within different species of the same genus is still an undervalued issue in the botanical range of phytolith studies.
Zsuzsa Lisztes-Szabó +5 more
doaj +1 more source
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics [PDF]
, 2016 In a wide range of statistical learning problems such as ranking, clustering or metric learning among others, the risk is accurately estimated by $U$-statistics of degree $d\geq 1$, i.e.
Bellet, Aurélien +2 more
core +2 more sources
MYCN Amplification in RB1‐Inactivated Retinoblastoma: Association With High‐Risk Features
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background MYCN amplification occurs in a subset of retinoblastoma cases, both with and without RB1 inactivation. It has been suggested that retinoblastomas with MYCN amplification represent a distinct entity with more aggressive clinical behavior.
Kyriaki Papaioannou +9 more
wiley +1 more source