官方服务:
资源简介:
R tutorial for the Bayesian estimation of vital rates
应用场景:
创建时间:
2017-01-01
相关数据集
the posterior estimates of regression parameters.
Bayesian symmetric regression offers a principled framework for modeling data characterized by heavy-tailed errors and censoring, both of which are frequently encountered in medical research. Classica
Figshare2025-08-01 更新50
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Causal inference in observational studies with high-dimensional covariates presents significant challenges. We introduce CausalBGM, an AI-powered Bayesian generative modeling approach that captures th
NIAID Data Ecosystem10
Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation
There is a growing interest in the estimation of the number of unseen features, mostly driven by biological applications. A recent work brought out a peculiar property of the popular completely random
Taylor & Francis Group2022-08-22 更新10
Raw data and posterior samples for "Seeing Both the Forest and the Trees Distinct Resolution of Hierarchical Representations in Visual Working Memory"
This data set includes the raw data and the posterior samples from the Bayesian models referring to the article, Seeing Both the Forest and the Trees Distinct Resolution of Hierarchical Representa
Zenodo2024-12-02 更新40
Dimension-Reduced Modeling of Spatio-Temporal Processes
The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. The classical approach to spatial and spatio-temporal modeling is very computationa
Taylor & Francis Group2016-01-19 更新10



