spNNGP R package for Nearest Neighbor Gaussian Process models

Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation

Even though Nearest Neighbor Gaussian Processes (NNGP) alleviate considerably MCMC implementation of Bayesian space-time models, they do not solve the convergence problems caused by high model dimension. Frugal alternatives such as response or collapsed algorithms are an answer.gree Our approach is to keep full data augmentation but to try and make it more efficient. We present two strategies to do so. The first scheme is to pay a particular attention to the seemingly trivial fixed effects of the model. We show empirically that re-centering the latent field on the intercept critically improves…

面向大型空间数据的快速变分贝叶斯方法

Fast Variational Bayes for Large Spatial Data

针对大规模地理空间数据分析，提出快速变分贝叶斯方法spVarBayes，通过变分法与闭式更新替代自动微分，在保持与MCMC软件spNNGP相当准确性的同时显著提升了计算速度。

Species distribution modelling with spatio-temporal nearest neighbour Gaussian processes

1.) Spatio-temporal datasets that are difficult to analyze are common in ecological surveys. There are software packages available to analyze these datasets, but many of them require advanced coding skills. There is a growing need for easy to use packages that researchers can use to analyze common ecological datasets 2.) We develop a particular generalized linear mixed model for spatio-temporal point-referenced data that is flexible enough to accommodate data from most ecological surveys while being structured enough to facilitate analyses without advanced coding. Our implementation in the sta…

stLMM：用于小区域生态估计的贝叶斯空间和时空线性混合模型

stLMM: Bayesian Spatial and Space-Time Linear Mixed Models for Small-Area Ecological Estimation

研究为小区域生态估计开发stLMM包，有多种潜在效应公式接口，采用共享稀疏精度实现，给出从模型拟合到预测等的后验抽样工作流程，以华盛顿县生物量示例展示。

N²：一种统一的Python包和测试平台，用于基于最近邻的矩阵补全

N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion

本文提出N²，一种统一的Python包和测试平台，用于基于最近邻的矩阵补全，展示了新的NN变体和现实世界数据集的基准测试，证明NN方法在现实应用中的优越性。

BlockingPy: 使用近似最近邻搜索进行记录阻塞以实现实体解析

BlockingPy: approximate nearest neighbours for blocking of records for entity resolution

BlockingPy通过近似最近邻搜索和图算法，提供了一种高效处理记录阻塞的方法，用于实体解析中的数据链接任务。