Binquan Li
Global and Planetary Change · 2012–2019
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 24 citations into it
Whom Binquan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Binquan Li's perspective
Ordered by how strongly the researchers Binquan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Confidence intervals for expected moments algorithm flood quantile estimates
- An adaptive Metropolis algorithm
- The Nature of Statistical Learning Theory
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- Inference from Iterative Simulation Using Multiple Sequences
- Bayes factors
- A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…
Their papers
- Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging (2019) — 83 citations
- A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework (2018) — 86 citations
- Bayesian flood frequency analysis in the light of model and parameter uncertainties (2012) — 48 citations