Results 41 to 50 of about 23,386,387 (281)

Quantifying uncertainty in pest risk maps and assessments: adopting a risk-averse decision maker’s perspective

NeoBiota, 2013
Pest risk maps are important decision support tools when devising strategies to minimize introductions of invasive organisms and mitigate their impacts.
Denys Yemshanov, Frank Koch, Mark Ducey, Robert Haack, Marty Siltanen, Kirsty Wilson   +5 more
doaj   +1 more source

Individual and group decision making under risk: An experimental study of Bayesian updating and violations of first-order stochastic dominance [PDF]

Journal of Risk and Uncertainty, 2006
In this paper, we report the results of experiments designed to test whether individuals and groups abide by the axioms of monotonicity, with respect to first-order stochastic dominance and Bayesian updating, when making decisions in the face of risk. The results indicate a significant number of violations of both principles.
Charness, Gary, Karni, Edi, Levin, Dan
openaire   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

An algorithm for stochastic programs with first-order dominance constraints induced by linear recourse

Discrete Applied Mathematics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Drapkin, Dimitri, Schultz, Rüdiger
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A proof of first-order stochastic dominance for quantity constrained oligopolies [PDF]

, 1994
In this paper a proof for First Order Stochastic Dominance for capacity constrained oligopolies exhibiting equilibrium in mixed strategies is derived.
Kujal, Praveen
core   +1 more source

Surprisingly robust violations of stochastic dominance despite splitting training: A quasi-adversarial collaboration

Judgment and Decision Making
First-order stochastic dominance is a core principle in rational decision-making. If lottery A has a higher or equal chance of winning an amount $x $ or more compared to lottery B for all x, and a strictly higher chance for at least one $x $
Edika Quispe-Torreblanca, Neil Stewart, Michael H. Birnbaum   +2 more
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance [PDF]

This paper examines investor preferences for oil spot and futures based on mean-variance (MV) and stochastic dominance (SD). The mean-variance criterion cannot distinct the preferences of spot and market whereas SD tests leads to the conclusion that spot
Michael McAleer, Wing-Keung Wong, Hooi Hooi Lean   +2 more
core   +8 more sources

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source