数据链接：
官方服务：
资源简介：
Naive Bayesian model of selection "diffusion" written in R programming language.
应用场景：
创建时间：
2016-10-17
相关数据集
Variable Selection in the Presence of Factors: A Model Selection Perspective
In the context of a Gaussian multiple regression model, we address the problem of variable selection when in the list of potential predictors there are factors, that is, categorical variables. We adop
DataCite Commons2021-04-20 更新120
Posterior model probabilities for subjects and models resulting from the family-level inferences (BMS).
Bold numbers indicate the most likely model (in Occam’s window) for each subject.
NIAID Data Ecosystem40
Additional file 2: Table S9. of A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studies
QTL regions related to protein/oil contents (XLSX 19 kb)
DataCite Commons2024-12-12 更新40
A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception
Perceptual decisions can be repelled away from (repulsive adaptation) or attracted towards recent visual experience (attractive serial dependence). It is currently unclear whether and how these repuls
DataCite Commons2024-05-13 更新40
Diffusion model analysis of visual identification and visual integration in the TBI and TC groups.
Diffusion model analysis of visual identification and visual integration in the TBI and TC groups.
NIAID Data Ecosystem40
