Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by A Pasanisi
Bayesian Update of the Parameters of Probability Distributions for Risk Assessment in a Two-Level Hybrid Probabilistic-Possibilistic Uncertainty Framework
Related publications
Hybrid Probabilistic–Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Risk
Mechanical Engineering
Reliability
Safety
Safety Research
Quality
Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution
International Journal of Mathematics and Mathematical Sciences
Mathematics
A Bayesian Probabilistic Framework for Rain Detection
Entropy
Electronic Engineering
Information Systems
Mathematical Physics
Electrical
Astronomy
Physics
A Three-Level Framework for Multi-Risk Assessment
Georisk
Building
Geotechnical Engineering
Risk
Geology
Civil
Structural Engineering
Construction
Safety
Engineering Geology
Reliability
Quality
A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation
Operations Research
Management Science
Computer Science Applications
Operations Research
A Comparison of Two Bayesian Approaches for Uncertainty Quantification
Environmental Modelling and Software
Ecological Modeling
Environmental Engineering
Software
Parametric Estimation ofP(X>Y) for Normal Distributions in the Context of Probabilistic Environmental Risk Assessment
PeerJ
Genetics
Molecular Biology
Biochemistry
Biological Sciences
Medicine
Agricultural
Neuroscience
A Comparison of Approximation Methods for the Estimation of Probability Distributions on Parameters
A Unified Framework for Multilevel Uncertainty Quantification in Bayesian Inverse Problems
Probabilistic Engineering Mechanics
Condensed Matter Physics
Mechanical Engineering
Civil
Ocean Engineering
Nuclear Energy
Structural Engineering
Nonlinear Physics
Engineering
Statistical
Aerospace Engineering