Results 41 to 50 of about 23,661,782 (208)
Crop phenotyping is a key process used to accelerate breeding programs in the era of high-throughput genotyping. However, most rapid phenotyping methods developed to date have focused on major cereals or legumes, and their application to minor crops has ...
Kohtaro Iseki, Ryo Matsumoto
doaj +1 more source
A Bayesian nonparametric approach to testing for dependence between random variables [PDF]
Nonparametric and nonlinear measures of statistical dependence between pairs of random variables are important tools in modern data analysis. In particular the emergence of large data sets can now support the relaxation of linearity assumptions implicit ...
Filippi, Sarah +3 more
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Bayesian Analysis of Bell Inequalities [PDF]
Statistical tests are needed to determine experimentally whether a hypothetical theory based on local realism can be an acceptable alternative to quantum mechanics. It is impossible to rule out local realism by a single test, as often claimed erroneously.
openaire +3 more sources
Assessing causal effects in the presence of treatment switching through principal stratification [PDF]
Published online: 04 April 2024Clinical trials often allow patients in the control arm to switch to the treatment arm if their physical conditions are worse than certain tolerance levels.
BALLERINI, Veronica +3 more
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Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies
In this article, we aim to provide a thorough review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations ...
Bing Liu +3 more
doaj +1 more source
Beyond conditional averages: Estimating the individual causal effect distribution
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J. +1 more
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Mexico City, one of the largest cities in the world, experiences frequent, devastating interplate earthquakes that originate on the subduction thrust along the Pacific coast of Mexico more than 250 km away.
Danny Arroyo, Mario Ordaz, Shri K Singh
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Objective Bayesian Inference for a Generalized Marginal Random Effects Model
An objective Bayesian inference is proposed for the generalized marginal random effects model p(x|μ, σλ) = f((x − μ1) T (V + σ2 λI) −1 (x − μ1))/ det(V + σ2 λI).
Bodnar, Olha +5 more
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Bayesian generalized method of moments [PDF]
We propose the Bayesian generalized method of moments (GMM), which is particularly useful when likelihood-based methods are di±cult. By de-riving the moments and concatenating them together, we build up a weighted quadratic objective function in the GMM ...
Yin, G
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Evolutionary trees are of central importance in biology to develop explanatory frameworks for many kinds of studies, including studies of behaviour, ecology, and conservation.
Paul H. Williams +12 more
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