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Kirk Borne 分享并推荐了教材《Bayes Rules!: An Introduction to Applied Bayesian Modeling》，该书由 Alicia A. Johnson、Miles Q. Ott 和 Mine Dogucu 编写，涵盖共轭先验、MCMC、回归与层级模型，并配有 bayesrule R 包。
The paper introduces fable.intermittent, an R package for benchmarking probabilistic forecasting methods for intermittent time series, and presents TWEES, a new exponential smoothing model using Tweedie distribution.
Entropic Scree is a new diagnostic tool for assessing signal strength and structure in dirty tabular data using mutual information, with a preprint and upcoming Python and R packages.
STeMP is a standardized protocol for reporting and guiding spatio-temporal predictive machine-learning modelling in environmental research, aimed at improving transparency and reproducibility. It is accompanied by an R package and web application, and hosted on GitHub.
This paper presents cayleyR, an R package that solves the TopSpin permutation puzzle using an iterative cycle intersection algorithm on Cayley graphs, implemented with a C++ backend and optional Vulkan GPU acceleration.
RSNet is an open-source R package that provides a resampling-based framework for robust and interpretable network inference in high-dimensional data, supporting partial correlation networks and conditional Gaussian Bayesian networks with graphlet-based topology analysis.