Journal of the Royal Statistical Society Series B (Statistical Methodology) | Journament

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Journal of the Royal Statistical Society Series B (Statistical Methodology)

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Short Name Journal of the Royal Statistical Society Series B (Statistical Methodology)
Abbreviated Name Journal of the Royal Statistical Society Series B (Statistical Methodology)
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Recent Articles (120 total)

2020
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel W. Apley, Jingyu Zhu
DOI Abstract
2020
A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping
Gao Wang, Abhishek Sarkar, Peter Carbonetto, Matthew Stephens
DOI Abstract
2019
Making Sense of Sensitivity: Extending Omitted Variable Bias
Carlos Cinelli, Chad Hazlett
DOI Abstract
2013
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan, Yuan Liao, Martina Mincheva
DOI Abstract
2013
Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
Cun‐Hui Zhang, Stephanie S. Zhang
DOI Abstract
2013
The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
Patrick Danaher, Pei Wang, Daniela Witten
DOI Abstract
2013
Covariate Balancing Propensity Score
Kosuke Imai, Marc Ratkovic
DOI Abstract
2011
Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
Mark Girolami, Ben Calderhead
DOI Abstract
2011
Regression Shrinkage and Selection via The Lasso: A Retrospective
Robert Tibshirani
DOI Abstract
2011
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
Finn Lindgren, Håvard Rue, Johan Lindström
DOI Abstract
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