J. Prairie

with Fulp · 2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. Prairie trusts overall

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

  1. T. Harrold
  2. Ashish Sharma
  3. Simon J. Sheather

Who trusts J. Prairie overall

  1. Somkiat Apipattanavis
  2. Guillermo P. Podestá

Papers from J. Prairie's perspective

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

  1. A nonparametric model for stochastic generation of daily rainfall occurrence
  2. A nonparametric model for stochastic generation of daily rainfall amounts
  3. A new look at the statistical model identification
  4. Density Estimation for Statistics and Data Analysis
  5. Estimating the Dimension of a Model
  6. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 — A strategy for system predictor identification
  7. Economic Value of Long-Lead Streamflow Forecasts for Columbia River Hydropower
  8. Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model (Journal of Hydrology)
  9. The future of distributed models: model calibration and uncertainty prediction.
  10. Genetic network inference: from co-expression clustering to reverse engineering (Bioinform.)

Their papers