Results 61 to 70 of about 2,617,552 (333)
Empirical Bayes Derivative Estimates
Multivariate Behavioral Research, 2019 A dynamic system is a set of interacting elements characterized by changes occurring over time. The estimation of derivatives is a mainstay for exploring dynamics of constructs, particularly when the dynamics are complicated or unknown. The presence of measurement error in many social science constructs frequently results in poor estimates of ...
openaire +2 more sources
Molecular Oncology, EarlyView.Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon +9 more
wiley +1 more source
Journal of Harbin University of Science and TechnologyHow to carry out the research on the life and reliability of smart electricity meters (SEMs) with the help of typical environmental test bases is a hot and challenging issue in the current industry.
ZHANG Wei, LI Ning, CHEN Min, HE Shuai
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Bayes and Non-Bayes Estimation Methods for the Parameter of Maxwell-Boltzmann Distribution
مجلة بغداد للعلوم, 2017 In this paper, point estimation for parameter ? of Maxwell-Boltzmann distribution has been investigated by using simulation technique, to estimate the parameter by two sections methods; the first section includes Non-Bayesian estimation methods, such as (
Baghdad Science Journal
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Empirical Bayes and Hierarchical Bayes Estimation of Skew Normal Populations [PDF]
, 2008 We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout.
Bansal, Naveen K. +2 more
core +1 more source
Empirical Bayes posterior concentration in sparse high-dimensional linear models
, 2017 We propose a new empirical Bayes approach for inference in the $p \gg n$ normal linear model. The novelty is the use of data in the prior in two ways, for centering and regularization.
Martin, Ryan +2 more
core +1 more source
Empirical Bayes estimation of posterior probabilities of enrichment [PDF]
, 2011 To interpret differentially expressed genes or other discovered features, researchers conduct hypothesis tests to determine which biological categories such as those of the Gene Ontology (GO) are enriched in the sense of having differential ...
Bickel, David R. +2 more
core +3 more sources
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
The Bayesian Expectation-Maximization-Maximization for the 3PLM
Frontiers in Psychology, 2019 The current study proposes an alternative feasible Bayesian algorithm for the three-parameter logistic model (3PLM) from a mixture-modeling perspective, namely, the Bayesian Expectation-Maximization-Maximization (Bayesian EMM, or BEMM).
Shaoyang Guo +2 more
doaj +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source