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A Ferromagnetic Shimming Method for NMR/MRI Magnets Adopting Two Consecutive Optimization Techniques: Linear Programming and Evolution Strategy

Journal of superconductivity and novel magnetism, 2011-01, Vol.24 (1-2), p.1037-1043

2011

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Application of linear programming techniques for controlling linear dynamic plants in real time

Computational mathematics and mathematical physics, 2016-03, Vol.56 (3), p.382-395

2016

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Hypothesis testing for automated community detection in networks

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-01, Vol.78 (1), p.253-273

2016

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Velocimetry of edge turbulence during the dithering L-H transition with dynamic programming based time-delay estimation technique in the EAST superconducting tokamak

Plasma physics and controlled fusion, 2013-10, Vol.55 (10), p.105006-11

2013

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Constrained optimization for addressing spatial heterogeneity in principal component analysis: an application to composite indicators

Statistical methods & applications, 2023-12, Vol.32 (5), p.1539-1561

2023

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Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data

Statistical methods & applications, 2023-09, Vol.32 (3), p.787-817

2023

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Maximum likelihood estimation of missing data probability for nonmonotone missing at random data

Statistical methods & applications, 2023-03, Vol.32 (1), p.197-209

Zhao, Yang

2023

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Partial least square based approaches for high-dimensional linear mixed models

Statistical methods & applications, 2023-09, Vol.32 (3), p.769-786

2023

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A Bayesian variable selection approach to longitudinal quantile regression

Statistical methods & applications, 2023-03, Vol.32 (1), p.149-168

2023

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A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC

Statistical methods & applications, 2021-06, Vol.30 (2), p.747-765

2021

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On comparison of dispersion matrices of estimators under a constrained linear model

Statistical methods & applications, 2016-11, Vol.25 (4), p.623-649

2016

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Reconstructing missing data sequences in multivariate time series: an application to environmental data

Statistical methods & applications, 2019-06, Vol.28 (2), p.359-383

2019

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Z-process method for change point problems with applications to discretely observed diffusion processes

Statistical methods & applications, 2017-06, Vol.26 (2), p.231-250

2017

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Empirical likelihood ratio in penalty form and the convex hull problem

Statistical methods & applications, 2017-11, Vol.26 (4), p.507-529

2017

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On a new absolutely continuous bivariate generalized exponential distribution

Statistical methods & applications, 2015-03, Vol.24 (1), p.61-83

2015

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A method for K-Means seeds generation applied to text mining

Statistical methods & applications, 2016-08, Vol.25 (3), p.477-499

2016

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Exploring copulas for the imputation of complex dependent data

Statistical methods & applications, 2015-03, Vol.24 (1), p.159-175

2015

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A group VISA algorithm for variable selection

Statistical methods & applications, 2015-03, Vol.24 (1), p.41-60

2015

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A first step to implement Gillespie’s algorithm with rejection sampling

Statistical methods & applications, 2015-03, Vol.24 (1), p.85-95

2015

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Partial discharge localization in power transformers based on the sequential quadratic programming-genetic algorithm adopting acoustic emission techniques

European physical journal. Applied physics, 2014-10, Vol.68 (1), p.10801

2014

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Deterministic hierarchical networks

Journal of physics. A, Mathematical and theoretical, 2016-06, Vol.49 (22), p.225202

2016

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Impedance spectroscopy analysis inspired by evolutionary programming as a diagnostic tool for SOEC and SOFC

Solid state ionics, 2016-05, Vol.288, p.307-310

2016

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Analysis of impedance spectroscopy of aqueous supercapacitors by evolutionary programming: Finding DFRT from complex capacitance

Solid state ionics, 2016-05, Vol.288, p.311-314

2016

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Key chemical reaction pathways in a helium-nitrogen atmospheric glow discharge plasma based on a global model coupled with the genetic algorithm and dynamic programming

Journal of applied physics, 2021-04, Vol.129 (13)

2021

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Molint 1.0: A framework for the computation of molecular integrals and their derivatives for density‐fitted methods

International journal of quantum chemistry, 2021-06, Vol.121 (11), p.n/a

Bozkaya, Uğur

2021

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A Ferromagnetic Shimming Method for NMR/MRI Magnets Adopting Two Consecutive Optimization Techniques: Linear Programming and Evolution Strategy

Application of linear programming techniques for controlling linear dynamic plants in real time

Hypothesis testing for automated community detection in networks

Velocimetry of edge turbulence during the dithering L-H transition with dynamic programming based time-delay estimation technique in the EAST superconducting tokamak

Constrained optimization for addressing spatial heterogeneity in principal component analysis: an application to composite indicators

Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data

Maximum likelihood estimation of missing data probability for nonmonotone missing at random data

Partial least square based approaches for high-dimensional linear mixed models

A Bayesian variable selection approach to longitudinal quantile regression

A Bayesian approach for zero-modified Skellam model with Hamiltonian MCMC

On comparison of dispersion matrices of estimators under a constrained linear model

Reconstructing missing data sequences in multivariate time series: an application to environmental data

Z-process method for change point problems with applications to discretely observed diffusion processes

Empirical likelihood ratio in penalty form and the convex hull problem

On a new absolutely continuous bivariate generalized exponential distribution

A method for K-Means seeds generation applied to text mining

Exploring copulas for the imputation of complex dependent data

A group VISA algorithm for variable selection

A first step to implement Gillespie’s algorithm with rejection sampling

Partial discharge localization in power transformers based on the sequential quadratic programming-genetic algorithm adopting acoustic emission techniques

Deterministic hierarchical networks

Impedance spectroscopy analysis inspired by evolutionary programming as a diagnostic tool for SOEC and SOFC

Analysis of impedance spectroscopy of aqueous supercapacitors by evolutionary programming: Finding DFRT from complex capacitance

Key chemical reaction pathways in a helium-nitrogen atmospheric glow discharge plasma based on a global model coupled with the genetic algorithm and dynamic programming

Molint 1.0: A framework for the computation of molecular integrals and their derivatives for density‐fitted methods

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