Results 71 to 80 of about 569,923 (314)
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics [PDF]
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
Cram\'{e}r-type moderate deviations for Studentized two-sample $U$-statistics with applications
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
Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas +16 more
wiley +1 more source
Extending Gossip Algorithms to Distributed Estimation of U-Statistics [PDF]
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
Preoperative Cytopenia in Patients Affected by High‐Risk Neuroblastoma: Just a Matter of Platelets?
ABSTRACT Background and Aims In patients affected by high‐risk neuroblastoma (HR‐NB), complete macroscopic resection (CMR) is associated with better outcomes. These patients are often cytopenic due to intensive induction regimens. The aim of the present study is to assess the impact of preoperative cytopenia on surgical outcome in patients with HR‐NB ...
Giorgio Persano +13 more
wiley +1 more source
Topological terms of (2+1)d flag-manifold sigma models
We examine topological terms of (2 + 1)d sigma models and their consequences in the light of classifications of invertible quantum field theories utilizing bordism groups.
Ryohei Kobayashi +3 more
doaj +1 more source
Large deviations for U-statistics
A large deviation principle (LDP) is proved for a large class of \(U\)- statistics. The proof is mainly based on the spectral decomposition of the kernel together with a corresponding application of the Donsker- Varadhan LDP in \(l_ 2\).
openaire +1 more source
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
$ U $-statistics represent a fundamental class of statistics arising from modeling quantities of interest defined by multi-subject responses. $ U $-statistics generalize the empirical mean of a random variable $ X $ to sums over every $ m $-tuple of ...
Salim Bouzebda, Amel Nezzal
doaj +1 more source
Kaplan-Meier V- and U-statistics
In this paper, we study Kaplan-Meier V- and U-statistics respectively defined as $\theta(\widehat{F}_n)=\sum_{i,j}K(X_{[i:n]},X_{[j:n]})W_iW_j$ and $\theta_U(\widehat{F}_n)=\sum_{i\neq j}K(X_{[i:n]},X_{[j:n]})W_iW_j/\sum_{i\neq j}W_iW_j$, where $\widehat{
Fernández, Tamara, Rivera, Nicolás
core +1 more source

