Brian J. Reich
Statistics and Probability · 2007–2016
A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 42 citations into it; #2,863 of 12,932 by trust here, #3,893 by citations
- Artificial Intelligence — 25 citations into it; #19,104 of 35,345 by trust here, #29,412 by citations
- Global and Planetary Change — 10 citations into it; #7,153 of 10,225 by trust here, #9,714 by citations
- Control and Systems Engineering — 8 citations into it
- Economics and Econometrics — 8 citations into it; #6,419 of 23,481 by trust here, #15,581 by citations
- Environmental Engineering — 8 citations into it; #2,235 of 5,479 by trust here, #4,524 by citations
- Finance — 7 citations into it
Whom Brian J. Reich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Stuart Coles
- Alan E. Gelfand
- Gerald A. Meehl
- Sudipto Banerjee
- Hui Zou
- Simone A. Padoan
- Ming Yuan
- Trevor J. Hastie
- Andrew Gelman
Who trusts Brian J. Reich overall
- Mikyoung Jun
- Peter J. Diggle
- Noel Cressie
- Liangjun Su
- Aritra Sengupta
- Mário A. T. Figueiredo
- Hauke Thaden
- Tilmann Gneiting
- Raquel Menezes
- Jiliang Tang
Papers from Brian J. Reich's perspective
Ordered by how strongly the researchers Brian J. Reich trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Addendum: Regularization and variable selection via the elastic net
- Hierarchical Modeling and Analysis for Spatial Data
- Computational approaches to motor learning by imitation.
- Model selection and estimation in regression with grouped variables
- An Introduction to Statistical Modeling of Extreme Values
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
- Bayesian measures of model complexity and fit
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Smoothing noisy data with spline functions
Their papers
- Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love (2010) — 449 citations
- Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (2016) — 78 citations
- Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR (2008) — 533 citations
- A MULTIVARIATE SEMIPARAMETRIC BAYESIAN SPATIAL MODELING FRAMEWORK FOR HURRICANE SURFACE WIND FIELDS (2007) — 127 citations
- A Hierarchical Model for Serially-Dependent Extremes: A Study of Heat Waves in the Western US (2014) — 52 citations
- Spatial–temporal mesoscale modeling of rainfall intensity using gage and radar data (2008) — 51 citations