Results 61 to 70 of about 635,362 (294)

From Empirical Bayes to Full Bayes: Methods for Analyzubg Traffic Safey Data, October 25, 2004 [PDF]

, 2004
Traffic safety engineers are among the early adopters of Bayesian statistical tools for analyzing crash data. As in many other areas of application, empirical Bayes methods were their first choice, perhaps because they represent an intuitively ...

core  

Hierarchical Bayes variable selection and microarray experiments [PDF]

, 2007
Hierarchical and empirical Bayes approaches to inference are attractive for data arising from microarray gene expression studies because of their ability to borrow strength across genes in making inferences.
Yu, Zeming, Williams, Rohan, Cowley, Mark J., Little, Peter, Cotsapas, Chris, Chan, Eva, Nott, David J., Pulvers, Jeremy   +7 more
core   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Comparação bayesiana de modelos de previsão de diferenças esperadas nas progênies no melhoramento genético de gado Nelore Bayesian comparison of forecasting models to expected progenies difference in Nelore cattle genetic breeding

Pesquisa Agropecuária Brasileira, 2008
O objetivo deste trabalho foi realizar uma análise bayesiana de modelos auto-regressivos de ordem p, AR(p), para dados em painel referentes às diferenças esperadas nas progênies (DEP) de touros da raça Nelore publicados de 2000 a 2006.
Fabyano Fonseca e Silva, Thelma Sáfadi, Joel Augusto Muniz, Luiz Henrique de Aquino, Gerson Barreto Mourão   +4 more
doaj   +1 more source

Deciphering the Crystallinity‐Dependent Sensitivity of Charge Injection in n‐Channel Organic Transistors: Reliable Characterization and Optimized Performance

Advanced Science, EarlyView.
Precise characterization of n‐type organic semiconductors necessitates decoupling interfacial constraints from intrinsic charge transport. This work reveals that disordered polymers are particularly vulnerable to contact‐limited bottlenecks compared to their crystalline counterparts.
Walid Boukhili, Chan Zhang, Jianeng Ma, Changwoo Yu, Chee Leong Tan, Huabin Sun, Zhihao Yu, Guangan Yang, Xiang Wan, Li Zhu, Yong Xu, Liyang Yu, Ruipeng Li, Seung‐Hoon Lee, Zhuping Fei, Dongyoon Khim   +15 more
wiley   +1 more source

Prior distributions for variance parameters in hierarchical models [PDF]

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core   +2 more sources

Neural networks and damage pattern recognition in power transformer diagnostics [PDF]

E3S Web of Conferences
The results of detecting deformations and damage of power transformer windings using the transformer Frequency Response Analysis (SFRA) are presented taking into account RG CIGRE A2.26, Standard IEC 60076-18, Standard IEEE C57.149.
Khrennikov Alexander, Aleksandrov Nikolay, Mikhailov Konstantin, Mikhailov Sergey   +3 more
doaj   +1 more source

Hierarchical Bayes models for cDNA microarray gene expression [PDF]

Biostatistics, 2005
cDNA microarrays are used in many contexts to compare mRNA levels between samples of cells. Microarray experiments typically give us expression measurements on 1000-20 000 genes, but with few replicates for each gene. Traditional methods using means and standard deviations to detect differential expression are not satisfactory in this context.
Lönnstedt, Ingrid, Britton, Tom
openaire   +2 more sources

A review of performance evaluation measures for hierarchical classifiers [PDF]

, 2007
Criteria for evaluating the performance of a classifier are an important part in its design. They allow to estimate the behavior of the generated classifier on unseen data and can be also used to compare its performance against the performance of ...
Costa, Eduardo P., Carvalho, André C.P.L.F., Lorena, Ana C., Freitas, Alex A.   +3 more
core   +1 more source

Bayesian designs for hierarchical linear models [PDF]

, 2012
Two Bayesian optimal design criteria for hierarchical linear models are discussed – the ?? criterion for the estimation of individual-level parameters ?, and the ?? criterion for the estimation of hyperparameters ?.
Allenby, Gregory, Qing Liu, Dean, Angela, Liu, Qing, Angela M. Dean, Greg M. Allenby   +5 more
core   +1 more source