Results 11 to 20 of about 1,136,392 (299)

Model Uncertainty and Liquidity [PDF]

SSRN Electronic Journal, 2002
Extreme market outcomes are often followed by a lack of liquidity and a lack of trade. This market collapse seems particularly acute for markets where traders rely heavily on a specific empirical model such as in derivative markets like the market for mortgage backed securities or credit derivatives.
Bryan R. Routledge, Stanley E. Zin
openaire   +2 more sources

Portfolio Selection by Robust Optimization [PDF]

تحقیقات مالی, 2014
This paper discusses the portfolio selection based on robust optimization. Since the parameters values of the portfolio optimization problem such as price of the stock, dividends, returns, etc.
Azin Abrishami, Reza Yousefi Zenouz
doaj   +1 more source

Expressing Measurement Uncertainty in OCL/UML Datatypes [PDF]

, 2018
Uncertainty is an inherent property of any measure or estimation performed in any physical setting, and therefore it needs to be considered when modeling systems that manage real data.
A Jiménez-Ramírez, B Kosko, B Littlewood, BD Hall, BH Liskov, F Büttner, M Gogolla, M Gogolla, M Zhang, N Esfahani, P America, R Salay   +11 more
core   +1 more source

Multi-Valued Q-Neutrosophic Computation for Enhancing the Digital Media Content Creation and Editing with Computer Assistance [PDF]

Neutrosophic Sets and Systems
In the era of modern content production, evaluating digital creation tools across diverse hardware environments and user perspectives involves inherent vagueness, uncertainty, and subjectivity.
Shanshan Zhang
doaj   +1 more source

Model Uncertainty

Statistical Science, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clyde, Merlise, George, Edward I
openaire   +3 more sources

Model uncertainty – parameter uncertainty versus conceptual models

Water Science and Technology, 2005
Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
A L, Højberg, J C, Refsgaard
openaire   +2 more sources

A Neutrosophic Reflexive Disruption Evolutionary Integral Model for Evaluating the Quality of University Online Education Interactive Platforms Under Teaching Resource Integration [PDF]

Neutrosophic Sets and Systems
This paper presents a new mathematical model for evaluating the quality of university online education platforms, especially in environments where multiple teaching resources are being integrated.
Jingjie Li, Xiaoying Zhu
doaj   +1 more source

A Novel Neutrosophic Integral Framework for Classroom Teaching Quality Analysis in Children’s Dance Aesthetic Education [PDF]

Neutrosophic Sets and Systems
Evaluating classroom teaching quality in children’s dance aesthetic education is challenging due to uncertainty, subjective judgment, and multiple viewpoints.
Xinxin Li
doaj   +1 more source

Model Uncertainty: A Reverse Approach

SIAM Journal on Financial Mathematics, 2022
Robust models in mathematical finance replace the classical single probability measure by a sufficiently rich set of probability measures on the future states of the world to capture (Knightian) uncertainty about the "right" probabilities of future events.
Felix-Benedikt Liebrich, Marco Maggis, Gregor Svindland   +2 more
openaire   +4 more sources

A Refined Neutrosophic Over/Under Probability Model with Off-Norm Operators for Evaluating the Efficiency of AI-Based Digital Tools in Korean Language Teaching [PDF]

Neutrosophic Sets and Systems
This paper presents a new mathematical model based on refined neutrosophic theory to evaluate the efficiency of AI-based digital tools in Korean language teaching.
Ting Yu
doaj   +1 more source