Khee Poh Lam

Probabilistic & Bayesian Methods · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Khee Poh Lam trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vivek S. Borkar
2. Keith Beven
3. Michael L. Stein
4. Stuart Geman
5. Francesca Campolongo

Papers from Khee Poh Lam's perspective

Ordered by how strongly the researchers Khee Poh Lam trusts endorse each paper. Same corpus, a different order for every researcher.

1. An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
2. Large sample properties of simulations using latin hypercube sampling
3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
4. Equation of State Calculations by Fast Computing Machines
5. On Information and Sufficiency
6. A manifesto for the equifinality thesis
7. A review of methods to match building energy simulation models to measured data
8. Uncertainty and Quality in Science for Policy
9. Design and analysis of computer experiments
10. The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Their papers

• Bayesian calibration of building energy models with large datasets (2017) — 114 citations
• An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network (2010) — 339 citations