阿拉斯加北极沿海平原水鸟时空趋势估计规范。
Code for estimating spatial and temporal trends of waterbirds on the Arctic Coastal Plain, Alaska. (2024-03-12, R, 0KB, 下载0次)
该原始代码是特拉维斯·扎列斯基（Travis Zalesky）在美国AZ MS GIST 601B级遥感最终项目的产品。正在提供...
This original code is the product of Travis Zalesky s Final Project in U. of AZ MS GIST class 601B - Remote Sensing. It is being provided publicly in the interest of transparity and repeatability. (2023-12-07, R, 0KB, 下载0次)
ROBART：秩序数据的贝叶斯加性回归树
ROBART: Bayesian Additive Regression Trees for Rank-Order data (2023-11-19, R, 0KB, 下载0次)
一种R包，用于执行超高维高斯线性回归模型的贝叶斯迭代筛选和/或变量选择...，
An R package that performs Bayesian iterated screening and/or variable selection for ultra-high dimensional Gaussian linear regression models (2023-08-25, R, 0KB, 下载0次)
Tobit贝叶斯加性回归树，
Tobit Bayesian Additive Regression Trees, (2023-07-25, R, 0KB, 下载0次)
分层嵌入贝叶斯加性回归树，
Hierachical Embedded Bayesian Additive Regression Trees, (2022-05-23, R, 0KB, 下载0次)
贝叶斯加性回归生成树代码，
Code for Bayesian Additive Regression Spanning Trees, (2021-12-02, R, 0KB, 下载0次)
自适应贝叶斯斜率——具有缺失值的高维模型选择，
Adaptive Bayesian SLOPE --- High-dimensional Model Selection with Missing Values, (2020-05-25, R, 0KB, 下载0次)
高维数据标量回归的贝叶斯函数，
Bayesian Function-on-Scalar Regression for High Dimensional Data, (2020-09-26, R, 0KB, 下载0次)
R包SDA4D，用于执行4维稀疏贝叶斯张量分解，
R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition, (2021-05-05, R, 0KB, 下载0次)
HubPredictor是R函数，用于运行贝叶斯加性回归树（BART）模型，以使用his...，
HubPredictor is the R function to run Bayesian Additive Regression Trees (BART) model for predicting chromatin interaction hubs using histone marks information. (2015-07-09, R, 0KB, 下载0次)
贝叶斯概率数值积分与基于树的模型（使用贝叶斯加性回归树），
Bayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees), (2020-11-06, R, 0KB, 下载0次)
用于高维数据的可扩展贝叶斯疾病映射模型的R包，
R package for scalable Bayesian disease mapping models for high-dimensional data, (2023-07-03, R, 0KB, 下载0次)
R包：（空间）广义加性混合回归模式的贝叶斯变量选择、模型选择和正则化估计...，
R-package: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors. (2022-06-10, R, 0KB, 下载0次)
使用灵活贝叶斯方法的高维因果效应双稳健估计的R包，
R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods, (2020-12-02, R, 0KB, 下载0次)
使用贝叶斯加性回归树的因果推断，
Causal Inference using Bayesian Additive Regression Trees, (2023-04-27, R, 0KB, 下载0次)
分组贝叶斯降维
Groupwise Bayesian dimension reduction (2018-05-03, R, 203KB, 下载0次)
这是论文《高维多元加性回归用于发现影响因素......》的代码...
This is the code for the paper High Dimensional Multivariate Additive Regression for Uncovering Contributing Factors to Healthcare Expenditure" (2017-07-30, R, 18KB, 下载0次)
fireML，1939-2017年阿拉斯加野火原因的实验分类
fireML,experimental classification of Alaska wildfire causes 1939-2017 (2018-07-06, R, 1336KB, 下载0次)
BFP_ML简介、代码和布加勒斯特FP机器学习简介演示中的幻灯片
BFP_MLIntro,Code and slides from the Introduction to Machine Learning presentation at Bucharest FP (2015-06-24, R, 14527KB, 下载0次)