Results 61 to 70 of about 2,663,721 (268)
Hyperdynamics Importance Sampling [PDF]
, 2002 Sequential random sampling (‘Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spaces. It applies both to importance sampling (where one wants to sample points according to their ‘importance' for some calculation, but otherwise fairly) and to global optimization (
Sminchisescu, Cristian, Triggs, Bill
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
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Metropolis‐Hastings Importance Sampling Estimator [PDF]
PAMM, 2017 AbstractBased on the proposed states of the Metropolis‐Hastings (MH) algorithm we construct a MH Importance Sampling estimator for the approximation of expectations. The new approximation scheme is asymptotically correct and numerical experiments indicate that it can outperform the classical MH Markov chain Monte Carlo estimator.
Rudolf, Daniel, Sprungk, Björn
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Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
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Applied SciencesConstructing an effective importance sampling density is crucial for structural reliability analysis via importance sampling (IS), particularly when dealing with performance functions that have multiple design points or disjoint failure domains.
Yue Zhang, Changjiang Wang, Xiewen Hu
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IEEE Access, 2019 Regional sensitivity on failure probability (RS-FP) can quantify the effect of the input region of interest (IRoI) on the failure probability and provide useful information for reliability based design optimization.
Jingyu Lei +3 more
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IEEE Access, 2022 In this paper, we re-examine the classical problem of efficiently evaluating the block and bit error rate performance of linear block codes over binary symmetric channels (BSCs).
Jinzhe Pan, Wai Ho Mow
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Importance sampling for metastable and multiscale dynamical systems
, 2017 In this article, we address the issues that come up in the design of importance sampling schemes for rare events associated to stochastic dynamical systems. We focus on the issue of metastability and on the effect of multiple scales.
Spiliopoulos, Konstantinos
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
IEEE AccessThe 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
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