Quan J. Wang
Global and Planetary Change · 2009–2012
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 25 citations into it; #2,100 of 10,225 by trust here, #5,940 by citations
- Atmospheric Science — 16 citations into it
- Water Science and Technology — 7 citations into it; #261 of 1,711 by trust here, #1,033 by citations
- Management Science and Operations Research — 6 citations into it
- Statistics and Probability — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Quan J. Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John K. Kruschke
- Francesco Laio
- David E. Robertson
- Eric R. Ziegel
- Richard A. Johnson
- Hans Hersbach
- Tilmann Gneiting
- Nicholas John Higham
- Adrian E. Raftery
- Alan Genz
Who trusts Quan J. Wang overall
- David E. Robertson
- David McInerney
- Andrew Schepen
- Mark A. Thyer
- Durga L. Shrestha
- Dmitri Kavetski
- Julien Lerat
Papers from Quan J. Wang's perspective
Ordered by how strongly the researchers Quan J. Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic forecasts, calibration and sharpness
- An Analysis of Transformations
- Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
- Bayesian data analysis.
- Scoring Rules for Continuous Probability Distributions
- Model selection for probabilistic clustering using cross-validated likelihood (Statistics and computing)
- Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
- Statistical Methods in the Atmospheric Sciences
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
- Verification tools for probabilistic forecasts of continuous hydrological variables
Their papers
- Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging (2012) — 108 citations
- A log‐sinh transformation for data normalization and variance stabilization (2012) — 158 citations
- Combining the strengths of statistical and dynamical modeling approaches for forecasting Australian seasonal rainfall (2012) — 67 citations
- Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences (2011) — 176 citations
- A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites (2009) — 258 citations