Results 61 to 70 of about 1,333 (217)

Exact Performance of CoD Estimators in Discrete Prediction [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
The coefficient of determination (CoD) has significant applications in genomics, for example, in the inference of gene regulatory networks. We study several CoD estimators, based upon the resubstitution, leave-one-out, cross-validation, and bootstrap error estimators.
Ting Chen, Ulisses Braga-Neto
openaire   +3 more sources

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya   +11 more
wiley   +1 more source

Superconvergence of semidiscrete finite element methods for bilinear parabolic optimal control problems

open access: yesJournal of Inequalities and Applications, 2017
In this paper, a semidiscrete finite element method for solving bilinear parabolic optimal control problems is considered. Firstly, we present a finite element approximation of the model problem.
Yuelong Tang, Yuchun Hua
doaj   +1 more source

Exact Nonlinear State Estimation

open access: yesJournal of the Atmospheric Sciences
Abstract The majority of data assimilation (DA) methods in the geosciences are based on Gaussian assumptions. While such approximations facilitate efficient algorithms, they cause analysis biases and subsequent forecast degradations. Nonparametric, particle-based DA algorithms have superior accuracy, but their application to high-dimensional models ...
openaire   +2 more sources

Exact local Whittle estimation of fractional integration [PDF]

open access: yesThe Annals of Statistics, 2005
An exact form of the local Whittle likelihood is studied with the intent of developing a general-purpose estimation procedure for the memory parameter (d) that does not rely on tapering or differencing prefilters. The resulting exact local Whittle estimator is shown to be consistent and to have the same N(0,{1/4}) limit distribution for all values of d
Shimotsu, Katsumi, Phillips, Peter C B
openaire   +4 more sources

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle   +8 more
wiley   +1 more source

The best $m$-term trigonometric approximations of the classes of periodic multivariate functions of mixed smoothness

open access: yesResearches in Mathematics
Exact in order estimates are obtained for the best $m$-term trigonometric approximations of the classes of periodic multivariate functions of mixed smoothness (Nikol'skii-Besov $B^{\boldsymbol{r}}_{p, \theta}$ and Sobolev $W^{\boldsymbol{r}}_{p ...
K.V. Pozharska, A.S. Romanyuk
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Exact and empirical estimation of misclassification probability

open access: yesCoRR, 2014
We discuss the problem of risk estimation in the classification problem, with specific focus on finding distributions that maximize the confidence intervals of risk estimation. We derived simple analytic approximations for the maximum bias of empirical risk for histogram classifier.
openaire   +2 more sources

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris   +24 more
wiley   +1 more source

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