C. Lima

Global and Planetary Change · with Devineni · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Lima trusts overall

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

  1. Benjamin Renard
  2. Stuart Coles
  3. Eduardo Sávio Passos Rodrigues Martins
  4. Julia E. Morrison
  5. R. Katz
  6. David J. Lunn
  7. Jery R. Stedinger
  8. James A. Smith
  9. Marc B. Parlange
  10. Andrew Thomas

Papers from C. Lima's perspective

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

  1. Generalized maximum‐likelihood generalized extreme‐value quantile estimators for hydrologic data
  2. Bayesian MCMC flood frequency analysis with historical information
  3. An Introduction to Statistical Modeling of Extreme Values
  4. Statistics of extremes in hydrology
  5. Stochastic modeling of flood peaks using the generalized extreme value distribution
  6. Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data
  7. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
  8. Non-stationary extreme value analysis in a changing climate (Climatic Change)
  9. Non-stationary pooled flood frequency analysis
  10. A Bayesian hierarchical approach to regional frequency analysis

Their papers