Sudipto Banerjee
Environmental Engineering · 2003–2014
A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 78 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 27 citations into it; #751 of 5,479 by trust here, #1,260 by citations
- Statistics and Probability — 24 citations into it; #3,486 of 12,932 by trust here, #3,255 by citations
- Economics and Econometrics — 16 citations into it; #5,688 of 23,481 by trust here, #8,289 by citations
- Artificial Intelligence — 10 citations into it
- Applied Mathematics — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
- Signal Processing — 5 citations into it; #437 of 7,572 by trust here, #731 by citations
Whom Sudipto Banerjee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan E. Gelfand
- Håvard Rue
- C. Chatfield
- D. Higdon
- Chong Gu
- Noel Cressie
- Peter J. Diggle
- Michael L. Stein
- Michael E. Hohn
- Carl E. Rasmussen
Who trusts Sudipto Banerjee overall
- Alan E. Gelfand
- Huiyan Sang
- Noel Cressie
- A. C. Davison
- Finn Lindgren
- Emily Lei Kang
- Haiming Zhou
- Abhirup Datta
- Thomas J. Leininger
- David C. Wheeler
Papers from Sudipto Banerjee's perspective
Ordered by how strongly the researchers Sudipto Banerjee trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical Modeling and Analysis for Spatial Data
- Bayesian measures of model complexity and fit
- Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
- Interpolation of spatial data
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Gaussian Markov Random Fields: Theory and Applications
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Non-Stationary Spatial Modeling
- Gaussian predictive process models for large spatial data sets (Journal of The Royal Statistical Society Series B-statistical Methodology)
Their papers
- Gaussian predictive process models for large spatial data sets (2008) — 1,128 citations
- Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets (2014) — 749 citations
- Search for narrow resonances using the dijet mass spectrum in pp collisions at √s=8 TeV (2013) — 162 citations
- Jet momentum dependence of jet quenching in PbPb collisions at sNN=2.76 TeV (2012) — 229 citations
- Bayesian areal wombling via adjacency modeling (2007) — 93 citations
- Hierarchical Modeling and Analysis for Spatial Data (2003) — 3,481 citations
- On smoothness properties of spatial processes (2003) — 76 citations