Stephan R. Sain
Statistics and Probability · 2002–2015
A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 25 citations into it; #2,453 of 12,932 by trust here, #6,552 by citations
- Global and Planetary Change — 19 citations into it; #3,455 of 10,225 by trust here, #5,211 by citations
- Environmental Engineering — 15 citations into it
- Atmospheric Science — 12 citations into it
- Artificial Intelligence — 10 citations into it; #7,503 of 35,345 by trust here, #23,731 by citations
- Economics and Econometrics — 9 citations into it; #20,604 of 23,481 by trust here, #21,405 by citations
- Finance — 9 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Stephan R. Sain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mats Rudemo
- Jerome H. Friedman
- Tilmann Gneiting
- Geoffrey J. McLachlan
- D. Loftsgaarden
- Leo Breiman
- Robert J. Adler
- C. Chatfield
- Andrew Gelman
- Werner Stuetzle
Who trusts Stephan R. Sain overall
- Andrea Vedaldi
- Yaser Sheikh
- Madeleine Cule
- Mubarak Shah
- Stefano Soatto
- Hideaki Shimazaki
- Richard J. Samworth
- David Kristjanson Duvenaud
- Reto Knutti
- Tarn Duong
Papers from Stephan R. Sain's perspective
Ordered by how strongly the researchers Stephan R. Sain trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Sampling-Based Approaches to Calculating Marginal Densities
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Estimating the Dimension of a Model
- An Introduction to Statistical Modeling of Extreme Values
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- BAYESIAN THEORY
- Spatial Modeling With Spatially Varying Coefficient Processes (Journal of the American Statistical Association)
- Smoothing Spline Anova Models
- The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
Their papers
- Multivariate locally adaptive density estimation (2002) — 126 citations
- Bayesian functional ANOVA modeling using Gaussian process prior distributions (2010) — 150 citations
- Multivariate Bayesian analysis of atmosphere–ocean general circulation models (2007) — 135 citations
- A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (2010) — 80 citations
- A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets (2015) — 353 citations
- Spatio-temporal exceedance locations and confidence regions (2013) — 62 citations
- Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data (2010) — 88 citations
- Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment (2010) — 86 citations