wild cluster bootstrapSummary We provide computationally attractive methods to obtain jackknife‐based cluster‐robust variance matrix estimators (CRVEs) for linear regression models estimated by least squares.
References for Recent Developments in Cluster-Robust Inference A. Colin Cameron Department of Economics, U.C. Davis Douglas L. Miller Brooks School of Public Policy, and Economics, Cornell University November 2022 These references accompany the November 2022 version of the slides available at http:/...
Basics of cluster-robust inference 2.2 Cluster-robust variance matrix estimate 2.2 Cluster-robust variance matrix for OLS Linear model for G clusters with Ng individuals per cluster yig = xi0g β + uig , i = 1, ..., Ng , g = 1, ..., G , N = ∑Gg =1 Ng yg = Xg0 β + ...
astrolabe a robust and scalable technology for distributed星盘一个强大的和可扩展的分布式技术 热度: 构建一个的2D-Mesh实验模型,采用X 热度: Career in the Financial Industry a practitioner’s guide 热度: 相关推荐 A Practitioner's Guide to Cluster-Robust Inference A. Colin Cameron and Douglas ...
1 A Practitioner’s Guide to Cluster-Robust Inference A. Colin Cameron and Douglas L. Miller Abstract We consider statistical inference for regression when data are grouped into clusters, with regression model errors independent across clusters but correlated within clusters. Examples include data on ...
"Wild bootstrap inference for wildly different cluster sizes," Queen's University, Department of Economics, Queen's University, QED Working Paper 1314 (revised).MacKinnon, J. G., and M. D. Webb (2014). "Wild bootstrap inference for wildly differ- ent cluster sizes," Working Papers 1314 ...
In this paper, we implement this method in a permutation test framework, which requires very few assumptions, is known to be exact [J. Cereb. Blood Flow Metab. 16 (1996) 7] and is robust [NeuroImage 20 (2003) 2343]. We compared our method to stationary permutation, stationary RFT, ...
services and elastic computing services, boasting exceptional intelligent computing capabilities that can cater to various application scenarios such as artificial intelligence, large language model training and inference, deep learning, graphic visualization, and video processing, offering you robust computing ...
et al. Photobleaching step analysis for robust determination of protein complex stoichiometries. Mol. Biol. Cell 32, ar35 (2021). Article Google Scholar Gelman, A. et al. Bayesian Data Analysis (Chapman and Hall/CRC, 2013). Von Toussaint, U. Bayesian inference in physics. Rev. Modern ...
GapClust is a light-weight approach distinguishing rare cells from voluminous single cell expression profiles ArticleOpen access07 July 2021 A robust multi-scale clustering framework for single-cell RNA-seq data analysis ArticleOpen access27 May 2025 ...