Mathematics, Statistics, and Physics
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Machine learning applied to programming quantum computers
(American Institute of Aeronautics and Astronautics, 2019-01-06)We apply machine learning to “program” quantum computers, both in simulation and in experimental hardware. A major difficulty in quantum computing is developing effective algorithms that can be programmed on a quantum ... -
Observation of seasonal variation of atmospheric multiple-muon events in the NOvA Near Detector
(American Physical Society, 2019-06-28)Using two years of data from the NOvA Near Detector at Fermilab, we report a seasonal variation of cosmic ray induced multiple-muon (Nμ≥2) event rates which has an opposite phase to the seasonal variation in the atmospheric ... -
Isotropic covariance matrix functions on compact two-point homogeneous spaces
(Springer, 2019)The covariance matrix function is characterized in this paper for a Gaussian or elliptically contoured vector random field that is stationary, isotropic, and mean square continuous on the compact two-point homogeneous ... -
Preface
(Institute of Physics Publishing, 2019-02)This is the 13th conference on Beauty, Charm and Hyperon hadrons since the start back in 1995 at Strasbourg. This edition of the series has taken place in the warm and welcoming sea-side of Peniche, Portugal. It was quite ... -
Pattern storage in qubit arrays using entanglement and quantum annealing
(Wichita State University, 2019-05)Multiqubit arrays can be prepared in any state by adjusting the parameters in the Hamiltonian that governs their time evolution. In this work we show that these arrays can be used for pattern storage and recall, using ... -
Monte Carlo simulations of a near-solar orbit neutrino detector
(Wichita State University, 2019-05)Neutrinos—weakly interacting subatomic particles often resultant of nuclear processes, including hydrogen fusion—are the only direct insight into the core of the Sun. Previously constructed neutrino detection experiments ... -
Isotropic positive definite functions on spheres generated from those in Euclidean spaces
(Wichita State University, 2019-05)In this thesis, author have reviewed the classical characterizations of isotropic positive definite functions on Euclidean spaces and spheres, and had applied them to develop a construction of isotropic positive de nite ... -
Blocking duality for p-modulus on networks and applications
(Springer, 2019-06)This paper explores the implications of blocking dualitypioneered by Fulkerson et al.in the context of p-modulus on networks. Fulkerson blocking duality is an analog on networks to the method of conjugate families of curves ... -
Conformally variational riemannian invariants
(American Mathematical Society, 2019-06-01)Conformally variational Riemannian invariants (CVIs), such as the scalar curvature, are homogeneous scalar invariants which arise as the gradient of a Riemannian functional. We establish a wide range of stability and ... -
Advanced forecasting model on land market value based on USA real estate market
(Wichita State University, 2019-04-26)This research presents a time series estimation and prediction methods with the use of classic and advanced forecasting tools. Our discussion about different time series models is supported by giving the experimental ... -
Monte Carlo simulations of a near-solar orbit neutrino detector
(Wichita State University, 2019-04-26)Neutrinos -- weakly interacting subatomic particles often resultant of nuclear processes, including hydrogen fusion -- are the only direct insight into the core of the Sun. Previously constructed neutrino detection ... -
An open-source implementation of the quick CSF method for rapid evaluation of contrast sensitivity
(Wichita State University, 2019-04-26)Contrast sensitivity is an important feature of functional vision, but traditional psychometric assessment methods require an excessive number of trials to estimate a complete contrast sensitivity function across the full ... -
A comparative study of electroweak Higgs boson production at future hadron colliders
(Wichita State University, 2019-04-26)The discovery of the Higgs boson has opened the door to the next phase of exploration in particle physics. Since the Higgs boson was found in July 2012 at CERN's Large Hadron Collider (LHC), many researches and experiments ... -
Estimating cumulative incidence functions when the life distributions are constrained
(Academic Press, 2010-05-5)In competing risks studies, the Kaplan-Meier estimators of the distribution functions (DFs) of lifetimes and the corresponding estimators of cumulative incidence functions (CIFs) are used widely when no prior information ... -
A class of stationary random fields with a simple correlation structure
(Academic Press, 2004-07-15)A stationary random field is often more complicated than a univariate stationary time series, since dependence for a random field extends in all directions, while there is only the natural distinction of past and future ... -
Application of the limit of truncated isotonic regression in optimization subject to isotonic and bounding constraints
(Academic Press Inc., 2002-05-25)An isotonic regression truncated by confining its domain to a union of its level sets is the isotonic regression in the reduced function space. When some of the weights with which the inner product system is defined go to ... -
A strong law of large numbers for nonparametric regression
(Academic Press, 1989-07-1)Suppose (i1,n, ..., in,n) is permutation of (1, ..., n) for each positive integer n such that the order of the indices {1, h., n - 1} in the permutation corresponding to n - 1 is preserved. If {Zn} is a sequence of mean-zero ... -
Singularity among selfsimilar Gaussian random fields with different scaling parameters and others
(Taylor & Francis, 2018-11-02)It is shown in this paper that the probability measures generated by selfsimilar Gaussian random fields are mutually singular, whenever they have different scaling parameters. So are those generated from a selfsimilar ... -
Two contributions to order restricted inferences
(Wichita State University, 2018-12)We are proposing two separate problems from order restricted inferences. The rst is a one-sided test for stochastic ordering of two distribution functions that protects against false positive conclusions because of model ... -
The effect of small time delays on large-scale systems
(Wichita State University, 2018-12)In this research, model reduction techniques are used to design optimal control strategies with low sensitivity in order to model uncertainty. The source of uncertainty encountered is the time delay, and the reduced-order ...
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