Kun Zhang

Statistics and Probability · with Chen · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Zhang trusts overall

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

  1. C. T. ter Braak
  2. Jing Yang
  3. Jasper A. Vrugt
  4. Martin Jung
  5. Jiri Nossent
  6. Heikki Haario
  7. Elizabeth H. Keating
  8. Ali Ershadi
  9. Peter A. Vanrolleghem
  10. Markus Reichstein

Papers from Kun Zhang's perspective

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

  1. Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
  2. DRAM: Efficient adaptive MCMC (Statistics and computing)
  3. Differential Evolution Markov Chain with snooker updater and fewer chains (Statistics and computing)
  4. A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces (Statistics and computing)
  5. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  6. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities
  7. Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis (Environmental Modelling & Software)
  8. Sobol' sensitivity analysis of a complex environmental model (Environmental Modelling & Software)
  9. Recent decline in the global land evapotranspiration trend due to limited moisture supply (Nature)
  10. Effective and efficient global optimization for conceptual rainfall‐runoff models

Their papers