Paul Raftery

Building and Construction · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 8 citations into it
• Statistics and Probability — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Paul Raftery trusts overall

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

1. Andrea Saltelli
2. David John Cameron MacKay
3. Marc C. Kennedy
4. A. Neto
5. Anthony OʼHagan

Papers from Paul Raftery's perspective

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

1. Uncertainty and Quality in Science for Policy
2. Sensitivity Analysis for Importance Assessment
3. BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION
4. Bayesian calibration of computer models
5. Global Sensitivity Analysis: The Primer
6. Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
7. Life Itself: A Comprehensive Inquiry Into the Nature, Origin, and Fabrication of Life
8. Large sample properties of simulations using latin hypercube sampling
9. Probabilistic sensitivity analysis of complex models: a Bayesian approach
10. Sensitivity Analysis for Nonlinear Mathematical Models. Numerical ExperienceSensitivity Analysis for Nonlinear Mathematical Models. Numerical Experience

Their papers

• Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning (2018) — 441 citations
• A review of methods to match building energy simulation models to measured data (2014) — 891 citations