Pareto-Front Optimization of Variance-Added Expected Loss with Interrelated Qualities [PDF]
EntropyIn industries, particularly in quality optimization, the trade-off between model bias and variance is inevitable, reflecting the tension between accuracy and uncertainty.
Sangwon Kim, Kichun Lee
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Surface Waves Enhance Particle Dispersion
Fluids, 2019 We study the horizontal dispersion of passive tracer particles on the free surface of gravity waves in deep water. For random linear waves with the JONSWAP spectrum, the Lagrangian particle trajectories are computed using an exact nonlinear model known ...
Mohammad Farazmand, Themistoklis Sapsis
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Applied Computational Intelligence and Soft ComputingThis research tries to integrate fuzzy neural networks with penalty function to address the quadratic programming based on the mean-variance Markowitz portfolio model.
Izaz Ullah Khan +3 more
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Approximate Bayesian estimation for parameters of simple linear bivariate truncated t regression model [PDF]
مجلة التربية والعلم, 2020 In this paper , It is obtained to approximate estimation for parameters of the two-tailed truncated regression model by Lindely approach . The prior non- informative was used for the regression parameters matrix when the variance matrix is known ...
Elham Hussain, Haifa Saied
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach [PDF]
تحقیقات مالی, 2023 Objective Investors, in their pursuit to maximize expected returns, minimize risks in their stock portfolios, and achieve the desired benefits, require suitable methods and criteria to select stocks for their portfolios and allocate capital.
Elaheh Gohania +2 more
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General dependence structures for some models based on exponential families with quadratic variance functions [PDF]
TEST, 2022 We describe a procedure to introduce general dependence structures on a set of random variables. These include order-$q$ moving average-type structures, as well as seasonal, periodic, spatial and spatio-temporal dependences. The invariant marginal distribution can be in any family that is conjugate to an exponential family with quadratic variance ...
Luis Nieto-Barajas +1 more
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Crime variability, peer effects, and economic inequality in social networks
Journal of Economic Criminology, 2023 A large fraction of the variance in aggregate crime rates cannot be explained by observable socioeconomic conditions. Social determinants of crime may drive the unexplained variation, but economic models of social influence so far emphasize the intensity
Mateo Velásquez-Giraldo +2 more
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Discrimination between Some Over Dispersed Count Distributions
ASM Science Journal, 2021 The Poisson inverse Gaussian and generalized Poisson distributions are widely used in modelling overdispersed count data which are commonly found in healthcare, insurance, engineering, econometric and ecology.
Yook-Ngor Phang +2 more
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Evaluating graphing quadratic worksheet on visual thinking classification: A confirmatory analysis
Infinity, 2023 Applying a graphing quadratic worksheet as a medium for learning the concept of a Quadratic Function clearer is an alternative instrument to accommodate the needs of developing students' mathematical visual thinking.
Rina Oktaviyanthi, Ria Noviana Agus
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Exploration of new chemical materials using black-box optimization with the D-wave quantum annealer
Frontiers in Computer Science, 2023 In materials informatics, searching for chemical materials with desired properties is challenging due to the vastness of the chemical space. Moreover, the high cost of evaluating properties necessitates a search with a few clues.
Mikiya Doi +7 more
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