Huiyan Sang
Statistics and Probability · 2008–2016
A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 62 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 35 citations into it; #2,220 of 12,932 by trust here, #2,309 by citations
- Environmental Engineering — 30 citations into it; #197 of 5,479 by trust here, #861 by citations
- Economics and Econometrics — 26 citations into it; #1,418 of 23,481 by trust here, #3,935 by citations
- Mechanical Engineering — 26 citations into it
- Artificial Intelligence — 15 citations into it
- Finance — 12 citations into it; #1,045 of 10,518 by trust here, #2,723 by citations
- Global and Planetary Change — 10 citations into it; #1,512 of 10,225 by trust here, #6,266 by citations
- Probabilistic & Bayesian Methods — 9 citations into it
Whom Huiyan Sang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan E. Gelfand
- Sudipto Banerjee
- John K. Kruschke
- Michael L. Stein
- Peter J. Diggle
- Stuart Coles
- C. Chatfield
- Bradley P. Carlin
- Jonathan A. Tawn
- Tilmann Gneiting
Who trusts Huiyan Sang overall
- A. C. Davison
- Mathieu Ribatet
- C. Bracken
- Simone A. Padoan
- Benjamin D. Youngman
- Emeric Thibaud
- Raphaël Huser
- V. Chavez‐Demoulin
- Robert B. Gramacy
- Jaehong Jeong
Papers from Huiyan Sang's perspective
Ordered by how strongly the researchers Huiyan Sang trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical Modeling and Analysis for Spatial Data
- Interpolation of spatial data
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Gaussian Markov Random Fields: Theory and Applications
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Sampling-Based Approaches to Calculating Marginal Densities
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Model‐based geostatistics
- Bayesian measures of model complexity and fit
- An Introduction to Statistical Modeling of Extreme Values
Their papers
- Gaussian predictive process models for large spatial data sets (2008) — 1,128 citations
- On the likelihood function of Gaussian max-stable processes (2011) — 122 citations
- Hierarchical modeling for extreme values observed over space and time (2009) — 229 citations
- A full scale approximation of covariance functions for large spatial data sets (2012) — 267 citations
- Continuous Spatial Process Models for Spatial Extreme Values (2010) — 161 citations
- Prediction of porosity in metal-based additive manufacturing using spatial Gaussian process models (2016) — 250 citations