Andreas N. Hense
Global and Planetary Change · 2006–2008
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 13 citations into it; #1,306 of 10,225 by trust here, #4,400 by citations
- Atmospheric Science — 11 citations into it; #2,064 of 4,804 by trust here, #2,716 by citations
- Statistics and Probability — 8 citations into it; #4,190 of 12,932 by trust here, #6,853 by citations
Whom Andreas N. Hense trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adrian E. Raftery
- J. Bremnes
- Eric R. Ziegel
- Stephen Portnoy
- Richard L. Smith
- C. Tebaldi
- Victor Chernozhukov
- Jennifer A. Hoeting
- Tilmann Gneiting
- Roger W. Johnson
Who trusts Andreas N. Hense overall
- Alex J. Cannon
- C. Tebaldi
- S. Bentzien
- T. Jagger
- S. Min
- J. M. L. Sloughter
- Petra Friederichs
- G. Wong
- Reto Knutti
- Tilmann Gneiting
Papers from Andreas N. Hense's perspective
Ordered by how strongly the researchers Andreas N. Hense trusts endorse each paper. Same corpus, a different order for every researcher.
- Using Bayesian Model Averaging to Calibrate Forecast Ensembles
- VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations
- Quantifying the uncertainty in forecasts of anthropogenic climate change (Nature)
- Uncertainty in predictions of the climate response to rising levels of greenhouse gases (Nature)
- A Bayesian approach to climate model evaluation and multi‐model averaging with an application to global mean surface temperatures from IPCC AR4 coupled climate models
- Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles
- Censored Regression Quantiles
- Bayesian Model Averaging: A Tutorial
Their papers
- Statistical Downscaling of Extreme Precipitation Events Using Censored Quantile Regression (2007) — 204 citations
- RESEARCH CAMPAIGN: The Convective and Orographically Induced Precipitation Study (2008) — 230 citations
- Probabilistic climate change predictions applying Bayesian model averaging (2007) — 91 citations
- A Bayesian approach to climate model evaluation and multi‐model averaging with an application to global mean surface temperatures from IPCC AR4 coupled climate models (2006) — 114 citations