Upmanu Lall
Global and Planetary Change · 2002–2016
A researcher in the Science corpus: 10 papers; trusts 29 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 38 citations into it; #856 of 10,225 by trust here, #3,098 by citations
- Atmospheric Science — 22 citations into it; #444 of 4,804 by trust here, #1,505 by citations
- Statistics and Probability — 17 citations into it
- Water Science and Technology — 9 citations into it
- Artificial Intelligence — 7 citations into it
- Finance — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Upmanu Lall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Andrew Gelman
- William S. Cleveland
- Grace Wahba
- Brian S. Yandell
- David Ruppert
- Donald B. Rubin
- J. Shiau
- Hirotugu Akaike
- Benjamin Renard
Who trusts Upmanu Lall overall
- Michael K. Tippett
- C. Tebaldi
- A. Barnston
- Reto Knutti
- L. Goddard
- Francisco J. Doblas-Reyes
- R. Hagedorn
- Andrew Robertson
- Jouni Raäisaänen
- Jiabo Yin
Papers from Upmanu Lall's perspective
Ordered by how strongly the researchers Upmanu Lall trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference from Iterative Simulation Using Multiple Sequences
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Bayesian measures of model complexity and fit
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Local computations with probabilities on graphical structures and their application to expert systems
- A probability and decision‐model analysis of PROVOST seasonal multi‐model ensemble integrations
- Sampling-Based Approaches to Calculating Marginal Densities
- Bayesian Data Analysis (Technometrics)
- Multimodel Ensemble Forecasts for Weather and Seasonal Climate
Their papers
- Water and economic development : The role of variability and a framework for resilience (2006) — 225 citations
- A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates (2016) — 69 citations
- A copula‐based nonstationary frequency analysis for the 2012–2015 drought in California (2016) — 120 citations
- A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression (2013) — 79 citations
- Modeling multivariable hydrological series: Principal component analysis or independent component analysis? (2007) — 79 citations
- Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature (2007) — 129 citations
- Probabilistic multimodel regional temperature change projections (2006) — 146 citations
- Locally weighted polynomial regression: Parameter choice and application to forecasts of the Great Salt Lake (2006) — 62 citations
- Improved Combination of Multiple Atmospheric GCM Ensembles for Seasonal Prediction (2004) — 162 citations
- Categorical Climate Forecasts through Regularization and Optimal Combination of Multiple GCM Ensembles (2002) — 182 citations