Balaji Rajagopalan
Global and Planetary Change · 2002–2018
A researcher in the Science corpus: 12 papers; trusts 50 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 64 citations into it; #1,092 of 10,225 by trust here, #2,726 by citations
- Artificial Intelligence — 37 citations into it
- Statistics and Probability — 22 citations into it
- Atmospheric Science — 21 citations into it; #674 of 4,804 by trust here, #1,374 by citations
- Environmental Engineering — 21 citations into it
- Finance — 18 citations into it
- Economics and Econometrics — 13 citations into it
- Management Science and Operations Research — 10 citations into it
Whom Balaji Rajagopalan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benjamin Renard
- Jerome H. Friedman
- Andrew Gelman
- R. Katz
- Huiyan Sang
- V. Pavan
- Tim N. Palmer
- T. Harrold
- Denis Allard
- Alan E. Gelfand
Who trusts Balaji Rajagopalan overall
- Michael K. Tippett
- A. Barnston
- Francisco J. Doblas-Reyes
- R. Hagedorn
- Andrew Robertson
- Tim N. Palmer
- L. Goddard
- Andrew Verdin
- S. Zebiak
- Upmanu Lall
Papers from Balaji Rajagopalan's perspective
Ordered by how strongly the researchers Balaji Rajagopalan trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Random Forests
- Generalized Linear Models
- J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty (Mathematical Geosciences)
- Likelihood-Based Inference for Max-Stable Processes
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Bootstrap Methods: Another Look at the Jackknife
- Generalized maximum‐likelihood generalized extreme‐value quantile estimators for hydrologic data
- Greedy function approximation: A gradient boosting machine.
- Nonstationary multivariate process modeling through spatially varying coregionalization
Their papers
- Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain (2015) — 47 citations
- A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018) — 103 citations
- Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports (2016) — 315 citations
- Application of machine learning to construction injury prediction (2016) — 311 citations
- Coupled stochastic weather generation using spatial and generalized linear models (2015) — 61 citations
- Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes (2012) — 167 citations
- A semiparametric multivariate and multisite weather generator (2007) — 133 citations
- Modified K-NN Model for Stochastic Streamflow Simulation (2006) — 130 citations
- Unraveling the Mystery of Indian Monsoon Failure During El Niño (2006) — 791 citations
- Advancing dynamical prediction of Indian monsoon rainfall (2005) — 235 citations
- Statistical downscaling using K‐nearest neighbors (2005) — 146 citations
- Categorical Climate Forecasts through Regularization and Optimal Combination of Multiple GCM Ensembles (2002) — 182 citations