Results 61 to 70 of about 2,159,110 (277)

Variance reduction methods [PDF]

Proceedings of the 18th conference on Winter simulation - WSC '86, 1986
A computer simulation model is unusual in that the random error is under the total control of the experimenter. Variance reduction methods aim to take advantage of this to improve experimental accuracy. The fundamental ideas behind the most important of these methods will be described and illustrated with simple examples.
openaire   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle, Kiersten Ricci, Kelly Blache, Rebecca A. Marsh, Adrienne M. Hammill, Elissa Engel   +5 more
wiley   +1 more source

The Bayesian Causal Effect Estimation Algorithm

Journal of Causal Inference, 2015
Estimating causal exposure effects in observational studies ideally requires the analyst to have a vast knowledge of the domain of application. Investigators often bypass difficulties related to the identification and selection of confounders through the
Talbot Denis, Lefebvre Geneviève, Atherton Juli   +2 more
doaj   +1 more source

Variance Reduction Optimization Algorithm Based on Random Sampling [PDF]

Jisuanji kexue yu tansuo
The stochastic gradient descent (SGD) algorithms have been applied to machine learning and deep learning due to their superior performance. However, SGD requires the stochastic gradient of a single sample to approximate the full gradient of all samples ...
GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang
doaj   +1 more source

Dimensionality reduction of optimization problems using variance based sensitivity analysis [PDF]

, 2013
We propose a new interaction index derived from the computation of Sobol indices. In optimization, interaction index can be used to detect lack of interaction among input parameters.
Dhaene, Tom, Ito, Keiichi
core   +1 more source

Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems

, 2007
In this letter, we investigated the optimal minimummean-squared-error (MMSE) based successive interference cancellation (SIC) strategy designed for lattice-reduction aided multiple-input multiple-output (MIMO) detectors.
Chun, J., Hanzo, L., Lee, K.
core   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

A variance-reduction strategy for the sensitivity of βeff [PDF]

EPJ Web of Conferences
The Monte Carlo computation of the GPT-based sensitivity of the effective delayed neutron fraction βeff to nuclear data proves to be quite difficult to converge due to the small amount of delayed neutrons that are sampled in k-eigenvalue calculations ...
Jinaphanh Alexis, Zoia Andrea
doaj   +1 more source

Tensor-based numerical method for stochastic homogenisation

, 2018
This paper addresses the complexity reduction of stochastic homogenisation of a class of random materials for a stationary diffusion equation. A cost-efficient approximation of the correctors is built using a method designed to exploit quasi-periodicity.
Ayoul-Guilmard, Quentin, Binetruy, Christophe, Nouy, Anthony   +2 more
core   +2 more sources