Managing Structural Uncertainty in Health Economic Decision Models [PDF]
, 2012 Health economic models are representations of judgements about the relationships between the model's input parameters and the costs and health effects that the model aims to predict.
Strong, Mark
core
Introduction to Impossible Probability, Statistics of Probability or Probabilistic Statistics. VOL 2 [PDF]
Introduction to Impossible Probability, Statistics of Probability or Probabilistic Statistics is one of those works in which a deep bond between mathematics and philosophy can be found.
Pedraza, R.
core
Identification uncertainty of close modes in operational modal analysis [PDF]
, 2015 Operational modal analysis has attracted a lot of attention in both theory development and field applications for its high economy in implementation. It allows the modal properties (natural frequencies, damping ratios, mode shapes, etc.) to be identified
Jones, Steve, Zhu, Yi-Chen, Au, Siu-Kui
core
Design and implementation of advanced Bayesian networks with comparative probability [PDF]
, 2012 The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an ...
Hilal Ali, Ali Hilal, Markarian, Garik
core
Uncertainty and disagreement in economic prediction: the Bank of England Survey of External Forecasters [PDF]
, 2006 This article introduces a new source of survey data, namely the Bank of England Survey of External Forecasters. The survey collects point and density forecasts of inflation and GDP growth, and hence offers the opportunity of constructing direct measures ...
Smith, Jeremy +2 more
core
Efficient optimal design-under-uncertainty of passive structural control devices [PDF]
, 2015 This paper proposes a computationally efficient framework for design optimization under uncertainty for structures with local nonlinearities. To reduce the high computational cost of Monte Carlo simulation of such problems, an exact model reduction to a ...
Johnson, Erik A. +2 more
core
Robust Solutions of Optimization Problems Affected by Uncertain Probabilities [PDF]
In this paper we focus on robust linear optimization problems with uncertainty regions defined by ø-divergences (for example, chi-squared, Hellinger, Kullback-Leibler).
De Waegenaere, A.M.B. +4 more
core +1 more source
Probability and Uncertainty in Economic Modeling, Second Version [PDF]
Economic modeling assumes, for the most part, that agents are Bayesian, that is, that they entertain probabilistic beliefs, objective or subjective, regarding any event in question.
Itzhak Gilboa +2 more
core
Quantitative Microbial Risk Assessment of Human H5N1 Infection From Consumption of Fluid Cow's Milk. [PDF]
Risk AnalKoebel KJ +7 more
europepmc +1 more source
Modeling cropland conversion for conservation prioritization across the United States. [PDF]
Sci DataHovis C +6 more
europepmc +1 more source