Daniel Wallach

Statistics and Probability · 2002–2020

A researcher in the Science corpus: 12 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it

Whom Daniel Wallach trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vivek S. Borkar
2. M. Stone
3. Keith Beven
4. Hirotogu Akaike
5. Bradley Efron
6. R. Ackermann
7. Cort J. Willmott
8. Andrea Saltelli
9. A. Binley
10. Hirotugu Akaike

Who trusts Daniel Wallach overall

1. Jery R. Stedinger

Papers from Daniel Wallach's perspective

Ordered by how strongly the researchers Daniel Wallach trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory and an Extension of the Maximum Likelihood Principle
2. THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
3. Estimating the Dimension of a Model
4. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
5. The DSSAT cropping system model
6. Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models
7. Crop modelling for integrated assessment of risk to food production from climate change (Environmental Modelling & Software)
8. The next generation of scenarios for climate change research and assessment (Nature)
9. An overview of CMIP5 and the experiment design
10. Robust negative impacts of climate change on African agriculture (Environmental Research Letters)

Their papers

• Comparison of three calibration methods for modeling rice phenology (2020) — 63 citations
• How well do crop modeling groups predict wheat phenology, given calibration data from the target population? (2019) — 51 citations
• Uncertainty and Sensitivity Analysis (2019) — 56 citations
• Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice (2017) — 77 citations
• Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles (2017) — 146 citations
• Temperature increase reduces global yields of major crops in four independent estimates (2017) — 2,617 citations
• Crop modelling for integrated assessment of risk to food production from climate change (2015) — 311 citations
• Predicting maize phenology: intercomparison of functions for developmental response to temperature (2014) — 151 citations
• The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies (2013) — 962 citations
• Methodological comparison of calibration procedures for durum wheat parameters in the STICS model (2011) — 48 citations
• Comparison of parameter estimation methods for crop models (2004) — 64 citations
• Improving irrigation schedules by using a biophysical and a decisional model (2002) — 59 citations