调查2019年至2021年大曼彻斯特地区错过约会的区域差异。研究了面对面预约和其他类型预约的错过预约率差异，并讨论了导致这一点的社会经济复杂性。使用RStudio和Stata进行描述性统计和推理分析。
Investigated regional variability of missed appointments in Greater Manchester from 2019 to 2021. Examined differences in rate of missed appointments for face-to-face and other types of appointments and discussed socioeconomic complexities contributing to this. Utilised descriptive statistics and inferential analyses using RStudio and Stata. (2024-02-15, R, 0KB, 下载0次)
论文-埃塞克斯大学数据科学硕士学位论文《预测回报：评估Airbnb和伦敦公寓长期租赁投资的数据驱动方法》
Dissertation- Msc Data Science - University of Essex in Forecasting Returns: A Data-Driven Approach to Assessing Airbnb and Long-Term Rental Investments in London Apartments (2023-12-19, R, 0KB, 下载0次)
论文章节：多元纵向贝叶斯模型
dissertation chapter: a multivariate longitudinal Bayesian model (2023-11-02, R, 0KB, 下载0次)
数据科学拱顶石项目：约翰·霍普金斯与SwiftKe合作建立的单词预测算法...
Data Science Capstone Project: A Word Prediction Algorithm built within the partnership of Johns Hopkins with SwiftKey, the leading company on predictive text input for Android and iOS keyboards. The README file describes the algorithm and all files necessary to satisfy the shinyApps requirement for the Data Science Capstone final project. (2017-02-24, R, 19116KB, 下载0次)
论文arXiv的R代码：1905.11232v2（高维不平衡逻辑回归的有效后验抽样）
R code for paper arXiv:1905.11232v2 (Efficient posterior sampling for high- dimensional imbalanced logistic regression) (2022-02-20, R, 20KB, 下载0次)
这是CRAN R包存储库的只读镜像。BayesS5-使用简化的贝叶斯变量选择...
? This is a read-only mirror of the CRAN R package repository. BayesS5 — Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5). Homepage: <https://arxiv.org/abs/1507.07106v4> (2020-03-24, R, 43KB, 下载0次)
贝叶斯流行病学模型，重点关注圣卡塔琳娜州及其微观和宏观区域。[网址：a...]（网址：arxiv.org abs 2104.01133）
Bayesian epidemiological model, with a focus on the state of Santa Catarina and its micro and macroregions. <https://arxiv.org/abs/2104.01133> (2021-09-29, R, 2915KB, 下载0次)
Devick等人实现贝叶斯核机器回归因果中介分析的代码和描述（arXiv:...
Code and description to implement Bayesian Kernel Machine Regression-Causal Mediation Analysis by Devick et al. (arXiv: 1811.10453) (2019-09-18, R, 4KB, 下载0次)