Ge Yin
Statistics and Probability · 2019
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Artificial Intelligence — 9 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Ge Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Dongbin Xiu
- Andrew M. Stuart
- Marc C. Kennedy
- Jari P. Kaipio
- Christophe Andrieu
- Youssef M. Marzouk
Papers from Ge Yin's perspective
Ordered by how strongly the researchers Ge Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- Pattern Recognition and Machine Learning
- Inverse problem theory - and methods for model parameter estimation
- Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos
- Information Theory, Inference, and Learning Algorithms
- Bayesian calibration of computer models
- Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (SIAM Journal on Numerical Analysis)
- High-Order Collocation Methods for Differential Equations with Random Inputs (SIAM Journal on Scientific Computing)
- A Framework for Validation of Computer Models (Technometrics)
- Inverse problems: A Bayesian perspective (Acta Numerica)
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach