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An Optimal Tester for k-Linear [article]

Nader H. Bshouty
2020 arXiv   pre-print
In this paper, we study property testing of the classes k-Linear, the class of all k-linear functions, and k-Linear^*, the class ∪_j=0^kj-Linear.  ...  We then give a non-adaptive distribution-free one-sided ϵ-tester for k-Linear^* that makes the same number of queries and show that any non-adaptive uniform-distribution one-sided ϵ-tester for k-Linear  ...  In the uniform-distribution and distribution-free property testing model, we consider the problem of testing a class of Boolean function C.  ... 
arXiv:2006.04409v1 fatcat:3ola32j5m5bvbgcoczikhq6zg4

Option-implied risk preferences: An extension to wider classes of utility functions

Byung Jin Kang, Tong Suk Kim
2006 Journal of financial markets  
These results essentially hold regardless of forecast horizon. Out of sample tests also confirm the robustness of our findings. r  ...  Using FTSE 100 index options, we evaluate the forecasting ability of RN-PDFs and subjective PDFs with five assumed utility functions and then derive the corresponding option-implied risk aversion functions  ...  He suggested the exhaustive classes of utility functions that allow one-switch for additive gambles. The linear plus exponential utility function in Eq. (5) was proven to be one of them.  ... 
doi:10.1016/j.finmar.2005.12.004 fatcat:2f4k4fur7jc43a7nmhvwitnsfm

Page 311 of Mathematical Reviews Vol. , Issue 86a [page]

1986 Mathematical Reviews  
The author introduces modified versions of the Kendall tau and Spearman rho, for testing the slope @ in a simple linear regression model when the error distribution function F is continuous with F(0) =  ...  Let h be a symmetric function on R?  ... 

Nonlinear structures in electroencephalogram signals

L. Diambra, C.P. Malta, A. Capurro, J. Fernández
2001 Physica A: Statistical Mechanics and its Applications  
Using linear and nonlinear models we analyze the statistical nature of these residual noises in the case of epileptic patients and normal subjects.  ...  We found that the residual noise presents Gaussian distribution for epileptic patients if a nonlinear model is used whereas in the case of normal subjects the residual noise will exhibit a Gaussian distribution  ...  In order to test the normality of the RN distribution, we constructed a histogram for the RN of the selected segment.  ... 
doi:10.1016/s0378-4371(01)00352-1 fatcat:qm42pgz7qrcjddizlf4u4jurrm

The Light-Front Vacuum and Dynamics

W. N. Polyzou
2005 Few-body systems  
I give a quantum theoretical description of kinematically invariant vacuua on the algebra of free fields restricted to a light front and discuss the relation between the light-front Hamiltonian, P-, the  ...  This provides a quantum theoretical description of zero modes.  ...  The functional, s{f }, is the Fourier transform of a positive measure on the cylinder sets of Schwartz distributions in two variables [3] .  ... 
doi:10.1007/s00601-004-0103-x fatcat:7npivyrrmbfyxixz3lcsk27ove

Minimal thickness of cut layer in the vicinity of the cutting edge rounding
Minimalna grubość warstwy skrawanej w obszarze zaokrąglenia krawędzi skrawającej

Borys Storch, Anna Zawada-Tomkiewicz, Łukasz Żurawski
2018 Mechanik  
Factors interfering with the mechanism of separation, influencing the measurements of the components of the cutting force and the cutting temperature depend on the cut material and the material of the  ...  skrawanej w obszarze zaokrąglenia krawędzi skrawającej BORYS STORCH ANNA ZAWADA-TOMKIEWICZ ŁUKASZ ŻURAWSKI * The article presents an evaluation of the results of experimental tests useful for determining  ...  in the Ψkryt angle Fig. 6 . 6 Dependence of the minimum thickness of the cut layer on the radius of the edge rounding and the probability distribution of the value hmin for rn = 0.04 mm * Prof. dr  ... 
doi:10.17814/mechanik.2018.10.154 fatcat:7g6t2iceqna2vmqzuoeojccedq

Analysis of RSS-based location estimation techniques in fading environments

Andreas Fink, Helmut Beikirch
2011 2011 International Conference on Indoor Positioning and Indoor Navigation  
On top of several distance calculations a location estimation algorithm is used to compute the position of an unknown node.  ...  Distance estimation techniques based on RSS (received signal strength) measurements put low demand on the hardware and software complexity of the infrastructure components.  ...  The corresponding probability density functions (PDFs) for the distribution of P L(d) at the receiver (P L(d RX ) -i.e. RSS value) are shown on the right.  ... 
doi:10.1109/ipin.2011.6071943 dblp:conf/ipin/FinkB11 fatcat:yt6ri7wox5gppgbzi4ku6pavk4

Tangency portfolio weights for singular covariance matrix in small and large dimensions: Estimation and test theory

Taras Bodnar, Stepan Mazur, Krzysztof Podgórski, Joanna Tyrcha
2019 Journal of Statistical Planning and Inference  
These results are used in the derivation of a statistical test on the weights of the tangency portfolio where the distribution of the test statistic is obtained under both the null and the alternative  ...  In this paper we derive the finite-sample distribution of the estimated weights of the tangency portfolio when both the population and the sample covariance matrices are singular.  ...  Furthermore, we develop exact tests on the structure of the TP and derive the distribution functions of the test statistics under both the null hypothesis and the alternative hypothesis.  ... 
doi:10.1016/j.jspi.2018.11.003 fatcat:5u2knpz3jrdy5hrsf2qqlytjki

A Regularization Network Committee Machine of Isolated Regularization Networks for Distributed Privacy Preserving Data Mining [chapter]

Yiannis Kokkinos, Konstantinos G. Margaritis
2012 IFIP Advances in Information and Communication Technology  
Only classifiers in the form of binaries or agents can be sent to others to validate their local data and sent back average classification rates.  ...  In this paper we consider large scale distributed committee machines where no local data exchange is possible between neural network modules.  ...  The final RN committee is tested on the test set. 7.  ... 
doi:10.1007/978-3-642-33409-2_11 fatcat:qkfccow3znfozcxkxumxjv6pna

Random number generation distribution out of thin (or thick) air [article]

Nicholas Bornman, Andrew Forbes, Achim Kempf
2019 arXiv   pre-print
Much scientific work has focused on the generation of random numbers, as well as the distribution of said random numbers for use as a cryptographic key, in recent times.  ...  Here we present a simple hybrid free-space link scheme for both the generation and secure distribution of (pseudo-)random numbers between two remote parties, drawing the randomness from the stochastic  ...  The full random number generation and distribution scheme was then tested over a simulated free-space link of 10km, with the resultant 120,000 bit keys having a fidelity of 83%.  ... 
arXiv:1912.08677v1 fatcat:immvexe6fbfynbhmknrpzdvzfu

A self-normalized approach to confidence interval construction in time series [article]

Xiaofeng Shao
2010 arXiv   pre-print
The interval is constructed on the basis of an asymptotically distribution-free self-normalized statistic, in which the normalizing matrix is computed using recursive estimates.  ...  Under mild conditions, we establish the theoretical validity of our method for a broad class of statistics that are functionals of the empirical distribution of fixed or growing dimension.  ...  linear statistics that are functionals of empirical distributions of fixed dimension and their asymptotically equivalent variants.  ... 
arXiv:1005.2137v1 fatcat:fuqigfzeevebxonecdf7skl7si

An Empirical Likelihood Approach to Nonparametric Covariate Adjustment in Randomized Clinical Trials [article]

Xiaoru Wu, Zhiliang Ying
2011 arXiv   pre-print
While most statistical tests in randomized clinical trials are nonparametric in nature, approaches for covariate adjustment typically rely on specific regression models, such as the linear model for a  ...  Several recent efforts have focused on model-free covariate adjustment. This paper makes use of the empirical likelihood method and proposes a nonparametric approach to covariate adjustment.  ...  the underlying distribution functions G k , k = 0, . . . , K.  ... 
arXiv:1108.0484v1 fatcat:d2x4rtdsbjgmrnhwv4bliovngq

Forces on oscillating uniform and tapered cylinders in cross flow

F. S. HOVER, A. H. TECHET, M. S. TRIANTAFYLLOU
1998 Journal of Fluid Mechanics  
Calculation of the cross-correlation coefficient between forces at the two ends of the uniform cylinder reveals five distinct regimes as a function of the nominal reduced velocity V rn : two regimes, for  ...  To study free motions, a novel force-feedback control system has been developed, consisting of: (a) a force transducer, which measures forces on a section of a cylinder moving forward at constant speed  ...  Free vibrations of a uniform cylinder Free-vibration tests were conducted at nominal reduced velocities V rn between 1 and 40, although we concentrate primarily on results for V rn less than 10. † In this  ... 
doi:10.1017/s0022112098001074 fatcat:lf3gvif2tfglxmlpgwetkby7jm

Multi-objective Optimisation of Wireless Sensor Networks Deployment: Application to fire surveillance in smart car parks

Slimane Charafeddine Benghelima, Mohamed Ould-Khaoua, Ali Benzerbadj, Oumaya Baala
2021 2021 International Wireless Communications and Mobile Computing (IWCMC)  
of the ability to find other efficient solutions compared to a simultaneous deployment method using a mono-objective function, which consists to deploy SNs and RNs simultaneously.  ...  We have conducted extensive tests in order to evaluate the performance of our proposal.  ...  , and an approach of simultaneous deployment of SNs and RNs with mono-objective function that provides only one solution.  ... 
doi:10.1109/iwcmc51323.2021.9498747 fatcat:64himelwbrffdlqyl7xveczvqi

Discriminatively regularized least-squares classification

Hui Xue, Songcan Chen, Qiang Yang
2009 Pattern Recognition  
Furthermore, by embedding equality type constraints in the formulation, the solutions of DRLSC can follow from solving a set of linear equations and the framework naturally contains multi-class problems  ...  Traditionally, regularization focuses on smoothing only, and does not fully utilize the underlying discriminative knowledge which is vital for classification.  ...  Acknowledgment This work was supported by National Natural Science Foundation of China (60773061).  ... 
doi:10.1016/j.patcog.2008.07.010 fatcat:2ikbssa3mvhqdmhi7cg52ebg2a
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