Results 101 to 110 of about 9,337,952 (196)
Background Biological control is a promising alternative or complementary approach for controlling vector populations in response to the spread of insecticide resistance in malaria vectors.
Herieth H. Mahenge +7 more
doaj +1 more source
Control variates for sensitivity estimation [PDF]
Tarik Borogovac, Na Sun, Pirooz Vakili
openaire +1 more source
Background: Outcome expectancy is an important component of non-specific effect that may play an important role in pain research and clinical care.
Xiaotong Li +5 more
doaj +1 more source
Background An older person undergoes a ‘disablement’ process with aging. A comprehensive geriatric assessment centered around the functional status informs the healthcare provider of their frailty status, based on which tailored interventions may be ...
Pritish Baskaran T B +2 more
doaj +1 more source
R134a-DMF absorption heat pump unit is an energy-saving heat pump unit that can utilize renewable energy, and has great potential in the refrigeration and heating fields of urban and rural areas.
Zhaoyi Zhuang +4 more
doaj +1 more source
Diffusion approximations and control variates for MCMC [PDF]
A new methodology is presented for the construction of control variates to reduce the variance of additive functionals of Markov Chain Monte Carlo (MCMC) samplers.
Durmus, Alain +3 more
core
Purpose To investigate and compare the effectiveness of 0.01% low-dose atropine (LA) and orthokeratology lenses (OK) monotherapy versus single-vision spectacles (SV) in controlling low myopia in clinical settings.
Xiaona Sun +4 more
doaj +1 more source
Random Projections with Control Variates
Keegan Kang, Giles Hooker
openaire +1 more source
Control Variates and Optimal Designs in Metamodeling [PDF]
At the heart of most modeling issues is a focus on variance reduction. Experimental designs are chosen based on both efficiency and a variety of variance based criteria.
Meents, Joshua B.
core
Enhancing Monte Carlo integration by control variates and statistical learning
This thesis focuses on enhancing Monte Carlo integration through the use of control variates, a variance reduction technique involving special functions with known integrals.
Zhuman, Aigerim
core

