Matteo Pozzi

Probabilistic & Bayesian Methods · 2009–2017

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 Matteo Pozzi 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

Papers from Matteo Pozzi's perspective

Ordered by how strongly the researchers Matteo Pozzi 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. Wireless sensor networks for habitat monitoring (ACM International Conference on Wireless Sensor Networks and Applications)
3. Taming the underlying challenges of reliable multihop routing in sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
4. Large sample properties of simulations using latin hypercube sampling
5. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
6. Equation of State Calculations by Fast Computing Machines
7. Telos: enabling ultra-low power wireless research (IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005.)
8. A wireless sensor network For structural monitoring (ACM International Conference on Embedded Networked Sensor Systems)
9. The Tenet architecture for tiered sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
10. On Information and Sufficiency

Their papers

• Bayesian calibration of building energy models with large datasets (2017) — 114 citations
• Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment (2009) — 402 citations