Results 11 to 20 of about 303,639 (271)
Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers
Directed acyclic graph (DAG) models are widely used to represent causal relationships among random variables in many application domains. This paper studies a special class of non-Gaussian DAG models, where the conditional variance of each node given its parents is a quadratic function of its conditional mean.
Wei Zhou, Xin He, Wei Zhong, Junhui Wang
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ANALISIS PORTOFOLIO SAHAM LQ45 MENGGUNAKAN FUNGSI UTILITAS KUADRATIK
Utility function can use to give risk preference for investors who want to get the benefits gained meets investment targets. Quadratic utility functions on optimal portfolio is strongly influenced by the expected return and standard deviation.
KADEK FRISCA AYU DEVI +2 more
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Reference priors for exponential families with simple quadratic variance function
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Consonni G. +2 more
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On the Maximization of Quadratic Weighted Kappa
An analytical expression for the optimal estimation of the numerical dependence by the criterion of a quadratic weighted kappa and also the expression for the optimal value of this criterion were obtained.
V. M. Nedel’ko
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Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting
Noor Saif Muhammad Mussafi
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Different polynomial functions were tested for mean trajectory modeling with different residual variance structures. A total of 15,148 weight records of 3,115 Nellore Mocho cattle with ages between 1 and 660 days, raised in northern Brazil.
Diego Helcias Cavalcante +6 more
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Dynamics of Quantum Particles in Perturbed Parabolic 2d Potential [PDF]
2d quantum-mechanical problem of the time evolution of a particle in a quadratic potential is studied. We suppose that the center of the potential is displaced in arbitrary way in time.
A.S. Mazmanishvili, I.A. Knyaz’
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Robustness Beamforming Algorithms [PDF]
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance matrix uncertinity. In this paper, a new approach is presented to robust adaptive minimum variance distortionless response beamforming make robust against
Sajad Dehghani, Naser Parhizgar
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Optimization of Quantum Monte Carlo Wave Functions Using Analytical Energy Derivatives [PDF]
An algorithm is proposed to optimize quantum Monte Carlo (QMC) wave functions based on New ton's method and analytical computation of the first and second derivatives of the variati onal energy. This direct application of the variational principle yields
Lin, Xi +2 more
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Quantum-enhanced analysis of discrete stochastic processes
Discrete stochastic processes (DSP) are instrumental for modeling the dynamics of probabilistic systems and have a wide spectrum of applications in science and engineering.
Carsten Blank +2 more
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