高斯过程网络的贝叶斯结构学习。
Bayesian structure learning for Gaussian process networks. (2024-03-01, R, 0KB, 下载0次)
预测树木生命率的贝叶斯模型，
Bayesian models to predict trees vital rates, (2023-09-24, R, 0KB, 下载0次)
临床试验贝叶斯先验专家启发工具。，
Clinical trial Bayesian prior expert elicitation tool., (2023-08-22, R, 0KB, 下载0次)
带停止规则的空间贝叶斯动态建模，
spatial Bayesian dynamic modeling with stopping rules, (2014-11-11, R, 0KB, 下载0次)
全基因组回归的变分贝叶斯推断，
Variational Bayesian Inference for Genome-Wide Regression, (2023-06-05, R, 0KB, 下载0次)
应用贝叶斯统计学第三次家庭作业，
Third Homework Assignment for Applied Bayesian Statistics, (2010-04-19, R, 0KB, 下载0次)
交互式贝叶斯网络学习、推理和验证，
Interactive Bayesian Networks Learning, Inference and Validation, (2018-05-03, R, 0KB, 下载0次)
贝叶斯EPS-HDP论文的源代码，
Source code for the Bayesian EPS-HDP paper, (2018-11-24, R, 0KB, 下载0次)
R包用于进行贝叶斯数据分析，
R package for doing bayesian data analysis, (2021-04-08, R, 0KB, 下载0次)
大型贝叶斯向量自回归的变分推理，，
Variational-inference-for-large-Bayesian-vector-autoregressions,, (2023-06-30, R, 0KB, 下载0次)
处理贝叶斯MCMC运行的输出对象，
Handling of output objects from Bayesian MCMC runs, (2022-12-01, R, 0KB, 下载0次)
基因先验贝叶斯群因子分析模型，
Gene-wise Prior Bayesian Group Factor Analysis Model, (2017-01-18, R, 0KB, 下载0次)
Stan中的参数生存模型（贝叶斯方法）。，
Parametric survival models in Stan (the Bayesian way)., (2018-11-15, R, 0KB, 下载0次)
使用马蹄形先验的贝叶斯线性回归，
Bayesian linear regression using the horseshoe prior, (2015-07-15, R, 0KB, 下载0次)
贝叶斯模型的Jackknife（+）预测区间，
Jackknife(+) Predictive Intervals for Bayesian Models, (2022-08-12, R, 0KB, 下载0次)
具有有序阈值的贝叶斯层次序数模型，
Bayesian hierarchical ordinal models with ordered thresholds, (2022-03-20, R, 0KB, 下载0次)
R中的贝叶斯剂量，
Bayesian dosing in R, (2023-06-13, R, 0KB, 下载0次)
包含贝叶斯分解建模方法的R包，
R package containing methods for Bayesian disaggregation modelling, (2023-07-18, R, 0KB, 下载0次)
使用重采样统计的模型贝叶斯比较，
Bayesian comparisons of models using resampled statistics, (2023-04-03, R, 0KB, 下载0次)
671统计学习，贝叶斯分类理论，偏差方差权衡，线性和二次判别分析，贝叶斯...
Bayesian theory of classification, the bias/variance trade-off, linear and quadratic discriminant analysis, Bayesian logistic regression, neural networks, Gaussian processes and structured learning. (2020-02-18, R, 11386KB, 下载0次)