Results 71 to 80 of about 894,939 (265)

Research on the Development of an Inland Lake Bathymetry Estimation Model Based on Multispectral Data

open access: yesSensors
Lakes play a crucial role in regional economic development and ecological construction. The variation in lake water depth has a direct impact on local economic activities, such as agriculture, livestock farming, and fisheries, as well as the stability of
Junzhen Meng   +4 more
doaj   +1 more source

Tracking Health Related Quality of Life From Diagnosis to Follow‐Up Among Australian Children With Acute Lymphoblastic Leukaemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows   +19 more
wiley   +1 more source

Hybrid Wavelet–Difference M-Estimation for Partially Linear Models With m-Dependent Errors

open access: yesJournal of Mathematics
In this paper, we employ difference-based M-estimation to estimate the parameters β in a partially linear model with m-dependent errors and establish the asymptotic normality of these estimators.
Yu Zhang, Zhiqi Chen
doaj   +1 more source

Monocular Vision-Based Obstacle Height Estimation for Mobile Robot

open access: yesApplied Sciences
For a robot to operate robustly in diverse real-world environments, reliable obstacle perception is essential, which fundamentally requires depth information of the surrounding scene.
Seongmin Ahn   +4 more
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

Complexity L0-Penalized M-Estimation: Consistency in More Dimensions

open access: yesAxioms, 2013
We study the asymptotics in L2 for complexity penalized least squares regression for the discrete approximation of finite-dimensional signals on continuous domains—e.g., images—by piecewise smooth functions.
Gerhard Winkler   +3 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger   +8 more
wiley   +1 more source

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

M-estimation, convexity and quantiles

open access: yesThe Annals of Statistics, 1997
This paper develops a class of extensions of univariate quantile functions to the multivariate case, related in a certain way to \(M\)-parameters of a probability distribution and their \(M\)-estimators. An \(M\)-parameter with respect to a distribution \(P\) and some integrable function \(f(s,.)\), \(s\in\mathbb{R}^d\), is a minimal point \(s_0(P ...
openaire   +2 more sources

Sparsistency of $\ell_1$-Regularized $M$-Estimators

open access: yes, 2014
We consider the model selection consistency or sparsistency of a broad set of $\ell_1$-regularized $M$-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSSC) on the loss function.
Li Yen-Huan   +3 more
openaire   +4 more sources

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