Adrian Chong
Statistics and Probability · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
- Artificial Intelligence — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Adrian Chong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael L. Stein
- Marc C. Kennedy
- Vivek S. Borkar
- Keith Beven
- Stuart Geman
- D. Higdon
- Francesca Campolongo
- Anthony OʼHagan
- Donald Geman
- Radford M. Neal
Who trusts Adrian Chong overall
Papers from Adrian Chong's perspective
Ordered by how strongly the researchers Adrian Chong trusts endorse each paper. Same corpus, a different order for every researcher.
- An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
- Large sample properties of simulations using latin hypercube sampling
- Bayesian calibration of computer models
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Equation of State Calculations by Fast Computing Machines
- Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks)
- On Information and Sufficiency
- A manifesto for the equifinality thesis
- A review of methods to match building energy simulation models to measured data
- Occupancy schedules learning process through a data mining framework
Their papers
- Occupancy data at different spatial resolutions: Building energy performance and model calibration (2021) — 71 citations
- Bayesian calibration of building energy models with large datasets (2017) — 114 citations