N. Devineni
Water Science and Technology · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 14 citations into it
- Global and Planetary Change — 13 citations into it
- Ocean Engineering — 13 citations into it
- Statistics and Probability — 8 citations into it
Whom N. Devineni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph Hilbe
- Jerome H. Friedman
- Tapio Schneider
- Andrew Gelman
- Donald B. Rubin
- David J. Lunn
- Arthur P. Dempster
- Andrew Thomas
- Christopher K. Wikle
- Benjamin Renard
Papers from N. Devineni's perspective
Ordered by how strongly the researchers N. Devineni trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference from Iterative Simulation Using Multiple Sequences
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- An Introduction to Statistical Modeling of Extreme Values
- Bayesian MCMC flood frequency analysis with historical information
- Generalized maximum‐likelihood generalized extreme‐value quantile estimators for hydrologic data
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Statistics of extremes in hydrology
- Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
- Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data
Their papers
- A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates (2016) — 69 citations
- Can improved agricultural water use efficiency save India’s groundwater? (2015) — 164 citations
- A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression (2013) — 79 citations