Results 71 to 80 of about 2,693,397 (282)
The interest of this paper is the design of Bayesian particle filters for nonlinear state estimation (target tracking) applications. Particle filters employ a point mass representation of the probability densities using a set of weighted particles, in ...
Deepthi Kattula +2 more
doaj +1 more source
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Reliability analysis of structures characterized by multiple failure regions remains a challenging task, especially when the computationally intensive numerical models are used to predict the system response. In order to address this problem, an adaptive
Guofeng Xue, Xuetao Lyu
doaj +1 more source
A weighted stochastic gradient algorithm is proposed for cost‐efficient tracking of unknown, correlated spatial signals from randomly distributed sensor observations in localized wireless sensor field.
Hadi Alasti
doaj +1 more source
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
Ensemble Transport Adaptive Importance Sampling [PDF]
Markov chain Monte Carlo methods are a powerful and commonly used family of numerical methods for sampling from complex probability distributions. As applications of these methods increase in size and complexity, the need for efficient methods increases. In this paper, we present a particle ensemble algorithm.
Colin Cotter, Simon Cotter, Paul Russell
openaire +6 more sources
Interpolation and Synthesis of Sparse Samples in Exoplanet Atmospheric Modeling
This paper highlights methods from geostatistics that are relevant to the interpretation, intercomparison, and synthesis of atmospheric model data, with a specific application to exoplanet atmospheric modeling.
Jacob Haqq-Misra +3 more
doaj +1 more source
Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes
ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles +4 more
wiley +1 more source
Glucose sampling: importance of citrate [PDF]
We found that samples in which blood was acidified by citrate produced higher percentages of results within the desirable goal for bias compared with those collected into sodium fluoride. This confirms the findings of other studies. We also found that applying the multiplication factor suggested by Dimeski et al. (1.10) produced more results within the
Carta, Mariarosa +3 more
openaire +3 more sources
Importance-sampling computation of statistical properties of coupled oscillators
We introduce and implement an importance-sampling Monte Carlo algorithm to study systems of globally-coupled oscillators. Our computational method efficiently obtains estimates of the tails of the distribution of various measures of dynamical ...
Altmann, Eduardo G. +2 more
core +1 more source

