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Artículos de revistas sobre el tema "Directional dependence"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

Noh, Hohsuk, Hyuna Jang, Kun Ho Kim, and Jong-Min Kim. "Nonparametric Directional Dependence Estimation and Its Application to Cryptocurrency." Axioms 12, no. 3 (2023): 293. http://dx.doi.org/10.3390/axioms12030293.

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This paper proposes a nonparametric directional dependence by using the local polynomial regression technique. With data generated from a bivariate copula having a nonmonotone regression structure, we show that our nonparametric directional dependence is superior to the copula directional dependence method in terms of the root-mean-square error. To validate the directional dependence with real data, we use the log returns of daily prices of Bitcoin, Ethereum, Ripple, and Stellar. We conclude that our nonparametric directional dependence, by using the local polynomial regression technique with

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2

von Eye, Alexander, and Richard P. DeShon. "Decisions concerning directional dependence." International Journal of Behavioral Development 36, no. 4 (2012): 323–26. http://dx.doi.org/10.1177/0165025412450111.

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3

Aslanov, T. G., and S. A. Ibragimov. "STUDY OF THE TOPOLOGY OF THE VIVALDI ANTENNA WITH A MIRROR ARRANGEMENT OF THE PETALS." Herald of Dagestan State Technical University. Technical Sciences 45, no. 3 (2019): 76–84. http://dx.doi.org/10.21822/2073-6185-2018-45-3-76-84.

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Objectives. In work questions of a research of topology of the antenna of Vivaldi with a mirror arrangement of petals are considered.Method. By modeling in the program CST MicroWave Studio environment collecting necessary data, in particular dependence of width of the directional pattern on curvature and a distance from the middle of the top part of the antenna to the petal antenna petals is carried out.Result. Graphic dependences of curvature of petals and size of a distance from the middle of the top part of the antenna to the petal on directional pattern width in two planes for various freq

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4

Thoemmes, Felix. "Empirical evaluation of directional-dependence tests." International Journal of Behavioral Development 39, no. 6 (2015): 560–69. http://dx.doi.org/10.1177/0165025415582055.

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Testing of directional dependence is a method to infer causal direction that recently has attracted some attention. Previous examples by e.g. von Eye and DeShon (2012a) and extensive simulation studies by Pornprasertmanit and Little (2012) have demonstrated that under specific assumptions, directional-dependence tests can recover the true causal direction between two variables. Simulation results are important in the evaluation of any statistical method, but they are necessarily less complex than real data that come with potential irregularities (e.g. departures from linearity, presence of con

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5

von Eye, Alexander, and Richard P. DeShon. "Directional dependence in developmental research." International Journal of Behavioral Development 36, no. 4 (2012): 303–12. http://dx.doi.org/10.1177/0165025412439968.

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In this article, we discuss and propose methods that may be of use to determine direction of dependence in non-normally distributed variables. First, it is shown that standard regression analysis is unable to distinguish between explanatory and response variables. Then, skewness and kurtosis are discussed as tools to assess deviation from normality. Deviation from normality can be used to assess direction of dependence. This proposition is based on the fact that the response variable will always have less skew than the independent variable (Dodge & Rousson, 2000). It has been shown that th

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6

Quesada-Molina, José Juan, and Manuel Úbeda-Flores. "Directional dependence of random vectors." Information Sciences 215 (December 2012): 67–74. http://dx.doi.org/10.1016/j.ins.2012.05.019.

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7

Nelsen, Roger B., and Manuel Úbeda-Flores. "Directional dependence in multivariate distributions." Annals of the Institute of Statistical Mathematics 64, no. 3 (2011): 677–85. http://dx.doi.org/10.1007/s10463-011-0329-6.

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8

Hyun, Steve, Jimin Lee, Jong-Min Kim, and Chulhee Jun. "What Coins Lead in the Cryptocurrency Market: Using Copula and Neural Networks Models." Journal of Risk and Financial Management 12, no. 3 (2019): 132. http://dx.doi.org/10.3390/jrfm12030132.

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Exploring dependence structures between financial time series has been important within a wide range of applications. The main aim of this paper is to examine dependence relationships among five well-known cryptocurrencies—Bitcoin, Ethereum, Litecoin, Ripple, and Stella—by a copula directional dependence (CDD). By employing a neural network autoregression model to avoid the serial dependence in each individual cryptocurrency, we generate residuals of the fitted models with time series of daily log-returns in percentage of the five cryptocurrencies and then we apply a Gaussian copula marginal b

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9

Middlebrooks, John C., and David M. Green. "Directional dependence of interaural envelope delays." Journal of the Acoustical Society of America 87, no. 5 (1990): 2149–62. http://dx.doi.org/10.1121/1.399183.

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10

Sungur, Engin A., and Jessica M. Orth. "Understanding Directional Dependence Through Angular Correlation." Communications in Statistics - Theory and Methods 43, no. 19 (2014): 4143–55. http://dx.doi.org/10.1080/03610926.2012.707735.

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11

Axelsson, M., Y. Fantaye, F. K. Hansen, A. J. Banday, H. K. Eriksen та K. M. Gorski. "DIRECTIONAL DEPENDENCE OF ΛCDM COSMOLOGICAL PARAMETERS". Astrophysical Journal 773, № 1 (2013): L3. http://dx.doi.org/10.1088/2041-8205/773/1/l3.

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12

de Amo, Enrique, María del Rosario Rodríguez-Griñolo, and Manuel Úbeda-Flores. "Directional Dependence Orders of Random Vectors." Mathematics 12, no. 3 (2024): 419. http://dx.doi.org/10.3390/math12030419.

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In this paper, we define a multivariate order based on the concept of orthant directional dependence and study some of its properties. The relationships with other dependence orders given in the literature are also studied. We analyze the order between two random vectors in terms of their associated copulas and illustrate our results with several examples.

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13

Nishihara, Shinnosuke, Tatsuhiro Gotanda, Tomoyuki Hasuo, et al. "Directional Dependence of Gafchromic LD-V1." Journal of Medical Physics 50, no. 2 (2025): 419–25. https://doi.org/10.4103/jmp.jmp_154_24.

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Gafchromic LD-V1 (LD-V1) is a highly sensitive radiochromic film used as a radiation measurement technique that can be applied to the surface of an object because of its flexibility. However, if radiation is incident on the film from an angle other than perpendicular, the film’s sensitivity may change depending on the angle of incidence. In this study, we investigated the directional dependence of LD-V1 on the surface of an acrylic phantom. The relative sensitivity at the angle of perpendicular incidence of X-rays on the film was 54.5%, while the relative sensitivity at other angles exceeded 9

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14

Chino, Yasumasa, Katsuya Kimura, and Mamoru Mabuchi. "Direction Dependence of Compressive Properties of Mg Processed by Directional Solidification." MATERIALS TRANSACTIONS 49, no. 3 (2008): 393–97. http://dx.doi.org/10.2320/matertrans.ml200701.

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15

Amthor, Franklin R., and Norberto M. Grzywacz. "Nonlinearity of the inhibition underlying retinal directional selectivity." Visual Neuroscience 6, no. 3 (1991): 197–206. http://dx.doi.org/10.1017/s0952523800006210.

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AbstractAn important mechanism for the discrimination of direction of motion in the retina is a spatially asymmetric inhibition. This inhibition has been postulated to operate either as a subtraction, like in difference-of-Gaussians' models, or as a division, like in shunting-inhibition models of directional selectivity. The latter, but not the former, is nonlinear. This raises the question of whether the inhibitory mechanism involved in directional selectivity is nonlinear. To investigate this issue, we studied the linearity of the contrast dependence of the extracellularly recorded responses

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16

Quesada-Molina, José Juan, and Manuel Úbeda-Flores. "Modeling Directional Monotonicity in Sequence with Copulas." Axioms 13, no. 11 (2024): 785. http://dx.doi.org/10.3390/axioms13110785.

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In this paper, we present the concept of being monotonic in sequence according to a specific direction for a collection of random variables. This concept broadens the existing notions of multivariate dependence, such as sequential left-tail and right-tail dependence. Furthermore, we explore connections with other multivariate dependence concepts, highlight key properties, and analyze the new concept within the framework of copulas. Several examples are provided to demonstrate our findings.

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17

MERWINE, DAVID K., NORBERTO M. GRZYWACZ, DARREL S. TJEPKES, and FRANKLIN R. AMTHOR. "Non-monotonic contrast behavior in directionally selective ganglion cells and evidence for its dependence on their GABAergic input." Visual Neuroscience 15, no. 6 (1998): 1129–36. http://dx.doi.org/10.1017/s0952523898156122.

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We serendipitously discovered that the preferred-direction responses of ON–OFF directionally selective (DS) ganglion cells in the rabbit retina fall as a function of contrast when the contrast of a moving bar exceeds about 100%. Null-direction responses did not fall for contrasts up to 400%. Because the non-monotonic (rise-then-fall) behavior as a function of contrast occurred only for preferred-direction responses, it must depend on the mechanism of directional selectivity. It became thus of interest to investigate how this non-monotonicity depends on the major synapses involved in directiona

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18

Denney, Dennis. "Imparting Directional Dependence on Log-Derived Permeability." Journal of Petroleum Technology 54, no. 06 (2002): 50. http://dx.doi.org/10.2118/0602-0050-jpt.

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19

Schön, J. H., D. T. Georgi, and O. Fanini. "Imparting Directional Dependence on Log-Derived Permeability." SPE Reservoir Evaluation & Engineering 6, no. 01 (2003): 48–86. http://dx.doi.org/10.2118/82058-pa.

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20

Sungur, Engin A., and Jessica M. Orth. "On modeling directional dependence by using copulas." Model Assisted Statistics and Applications 7, no. 4 (2012): 305–13. http://dx.doi.org/10.3233/mas-2012-0242.

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21

Schwab, Russell, Marcus Rang, and Moritz Kassmann. "Integro-Differential equations with nonlinear directional dependence." Indiana University Mathematics Journal 63, no. 5 (2014): 1467–98. http://dx.doi.org/10.1512/iumj.2014.63.5394.

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22

Puccini, Gabriel D., Albert Compte, and Miguel Maravall. "Stimulus Dependence of Barrel Cortex Directional Selectivity." PLoS ONE 1, no. 1 (2006): e137. http://dx.doi.org/10.1371/journal.pone.0000137.

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23

Mauger, Scott A., Lilian Chang, Christopher W. Rochester, and Adam J. Moulé. "Directional dependence of electron blocking in PEDOT:PSS." Organic Electronics 13, no. 11 (2012): 2747–56. http://dx.doi.org/10.1016/j.orgel.2012.08.004.

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24

Bedenbecker, Matthias, Zbigniew Celinski, and H. H. Gatzen. "Directional Permeability Dependence in Electroplated Permalloy Layers." ECS Transactions 3, no. 25 (2019): 123–35. http://dx.doi.org/10.1149/1.2753247.

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25

Muddapur, M. V. "On Directional Dependence in a Regression Line." Communications in Statistics - Theory and Methods 32, no. 10 (2003): 2053–57. http://dx.doi.org/10.1081/sta-120023266.

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26

Sin Yip Cheng, Kin Seng Chiang, and Hau Ping Chan. "Polarization dependence in polymer waveguide directional couplers." IEEE Photonics Technology Letters 17, no. 7 (2005): 1465–67. http://dx.doi.org/10.1109/lpt.2005.848285.

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27

Brown, Michael G. "A directional spectrum evolution model for ship noise." Journal of the Acoustical Society of America 153, no. 6 (2023): 3469. http://dx.doi.org/10.1121/10.0019851.

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A radiation transport equation that describes the spatiotemporal evolution of the directional spectrum of underwater acoustic noise is presented and applied to ship noise. A ray-based algorithm is used to solve the transport equation and numerically simulate the evolution of the directional noise spectrum produced by a passing ship. The model described accounts for the transient and highly episodic nature of shipping noise, the strong anisotropy of the radiated shipping noise, the directional dependence of the resulting acoustic field, and the critical angle dependence of bottom-reflected ener

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28

Vakulenko, I. O., M. A. Hryshchenko, and O. M. Perkov. "THE DEPENDENCE OF THE FORMATION PROCESSES OF DEFORMATION BANDS FROM THE STRUCTURAL PARAMETERS OF LOW-CARBON STEELS AFTER THE ANNEALING." Science and Transport Progress, no. 19 (December 25, 2007): 241–42. http://dx.doi.org/10.15802/stp2007/17569.

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The causes of directionaty of the yield point, stress of microyielding, and Chernov–Luders deformation in lowcarbon steel have been investigated. The observed of Chernov–Luders deformation be haviour is considered to be the result of a directional variation in the grain size of berrite to cause formation dislocation cell structure.

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29

Pressel, Kyle G., and William D. Collins. "First-Order Structure Function Analysis of Statistical Scale Invariance in the AIRS-Observed Water Vapor Field." Journal of Climate 25, no. 16 (2012): 5538–55. http://dx.doi.org/10.1175/jcli-d-11-00374.1.

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Abstract The power-law scale dependence, or scaling, of first-order structure functions of the tropospheric water vapor field between 58°S and 58°N is investigated using observations from the Atmospheric Infrared Sounder (AIRS). Power-law scale dependence of the first-order structure function would indicate that the water vapor field exhibits statistical scale invariance. Directional and directionally independent first-order structure functions are computed to assess the directional dependence of derived first-order structure function scaling exponents (H) for a range of scales from 50 to 500

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30

DECK, R. T., and C. MAPALAGAMA. "IMPROVED THEORY OF NONLINEAR DIRECTIONAL COUPLER." Journal of Nonlinear Optical Physics & Materials 02, no. 01 (1993): 43–70. http://dx.doi.org/10.1142/s0218199193000036.

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We present an improved coupled mode theory of the nonlinear directional coupler based on the supermodes of the coupler and show that the predicted value of the switching intensity agrees well with recent experimental data. The theory relates to couplers constructed from semi-conductor materials and makes use of the plasma theory to express the dependence of the dielectric function on the field intensity. The analysis accounts for both the time dependence of the incident laser pulse and the spacial variation of the laser field in the direction transverse to the propagation direction.

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31

Ribeiro, Dyogo Lesniewski, Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo, and Gustavo Henrique Dalposso. "Directional Differences in Thematic Maps of Soil Chemical Attributes with Geometric Anisotropy." Stats 7, no. 1 (2024): 65–78. http://dx.doi.org/10.3390/stats7010005.

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In the study of the spatial variability of soil chemical attributes, the process is considered anisotropic when the spatial dependence structure differs in relation to the direction. Anisotropy is a characteristic that influences the accuracy of the thematic maps that represent the spatial variability of the phenomenon. Therefore, the linear anisotropic Gaussian spatial model is important for spatial data that present anisotropy, and incorporating this as an intrinsic characteristic of the process that describes the spatial dependence structure improves the accuracy of the spatial estimation o

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32

Xuan, Weihao, Feng Zhang, Hongye Zhou, Zhenhong Du, and Renyi Liu. "Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation." ISPRS International Journal of Geo-Information 10, no. 6 (2021): 413. http://dx.doi.org/10.3390/ijgi10060413.

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The increase in atmospheric pollution dominated by particles with an aerodynamic diameter smaller than 2.5 μm (PM2.5) has become one of the most serious environmental hazards worldwide. The geographically weighted regression (GWR) model is a vital method to estimate the spatial distribution of the ground-level PM2.5 concentration. Wind information reflects the directional dependence of the spatial distribution, which can be abstracted as a combination of spatial and directional non-stationarity components. In this paper, a GWR model considering directional non-stationarity (GDWR) is proposed.

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33

Wiedermann, Wolfgang, and Alexander von Eye. "Directional Dependence in the Analysis of Single Subjects." Journal for Person-Oriented Research 2, no. 1-2 (2016): 20–33. http://dx.doi.org/10.17505/jpor.2016.04.

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34

Sungur, Engin A. "A Note on Directional Dependence in Regression Setting." Communications in Statistics - Theory and Methods 34, no. 9-10 (2005): 1957–65. http://dx.doi.org/10.1080/03610920500201228.

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35

Sommer, Martin W., Tim Schrabback, and Sebastian Grandis. "Directional miscentring dependence in weak lensing mass bias." Monthly Notices of the Royal Astronomical Society: Letters 538, no. 1 (2025): L50—L55. https://doi.org/10.1093/mnrasl/slaf007.

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ABSTRACT Galaxy cluster masses estimated from parametric modelling of weak lensing shear observations are known to be biased by inaccuracies in observationally determined centres. It has recently been shown that such systematic effects can be non-isotropic when centres are derived from X-ray or Compton-Y (Sunyaev–Zeldovich effect) observations, which is often the case in practice. This fact challenges current methods of accurately correcting for weak lensing mass biases using simulations paired with isotropic empirical miscentring distributions, in particular as the effect on determined masses

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36

Hirsekorn, Sigrun. "Directional dependence of ultrasonic propagation in textured polycrystals." Journal of the Acoustical Society of America 79, no. 5 (1986): 1269–79. http://dx.doi.org/10.1121/1.393706.

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37

Kvatadze, R. A., R. Møller, and B. Lörstad. "On the directional dependence of Bose-Einstein correlations." Zeitschrift für Physik C Particles and Fields 38, no. 4 (1988): 551–55. http://dx.doi.org/10.1007/bf01624359.

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38

Ding, Dong, Dongdong Xiang, and Jian Li. "Directional monitoring of categorical processes with serial dependence." Computers & Industrial Engineering 113 (November 2017): 502–11. http://dx.doi.org/10.1016/j.cie.2017.09.035.

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39

van Zoest, J. M., C. E. van der Mey, J. M. Fluit, and A. Niehaus. "Directional dependence of ion neutralization at a surface." Surface Science Letters 152-153 (April 1985): A111. http://dx.doi.org/10.1016/0167-2584(85)90077-5.

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40

Kysar, Jeffrey W. "Directional dependence of fracture in copper/sapphire bicrystal." Acta Materialia 48, no. 13 (2000): 3509–24. http://dx.doi.org/10.1016/s1359-6454(00)00127-0.

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41

Van Zoest, J. M., C. E. Van Der Mey, J. M. Fluit, and A. Niehaus. "Directional dependence of ion neutralization at a surface." Surface Science 152-153 (April 1985): 106–13. http://dx.doi.org/10.1016/0039-6028(85)90132-3.

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42

Gu, Donghua, Ohannes Eknoyan, and Henry F. Taylor. "Polarization dependence in Ti-diffused LiNbO_3 directional couplers." Applied Optics 41, no. 1 (2002): 74. http://dx.doi.org/10.1364/ao.41.000074.

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43

Kim, Jong-Min, and S. Y. Hwang. "The copula directional dependence by stochastic volatility models." Communications in Statistics - Simulation and Computation 48, no. 4 (2018): 1153–75. http://dx.doi.org/10.1080/03610918.2017.1406512.

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44

Tilstra, Lieuwe G., Martin de Graaf, Victor J. H. Trees, Pavel Litvinov, Oleg Dubovik, and Piet Stammes. "A directional surface reflectance climatology determined from TROPOMI observations." Atmospheric Measurement Techniques 17, no. 7 (2024): 2235–56. http://dx.doi.org/10.5194/amt-17-2235-2024.

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Abstract. In this paper, we introduce a spectral surface reflectivity climatology based on observations made by TROPOMI on board the Sentinel-5P satellite. The database contains the directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface for 21 wavelength bands ranging from 328 to 2314 nm and for each calendar month. The spatial resolution of the database grid is 0.125° × 0.125°. A recently developed cloud shadow detection technique is implemented to avoid dark scenes due to cloud shadow. In the database, the anisotropy of the surface reflection is described us

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45

Mori, Nobuhito, Miguel Onorato, and Peter A. E. M. Janssen. "On the Estimation of the Kurtosis in Directional Sea States for Freak Wave Forecasting." Journal of Physical Oceanography 41, no. 8 (2011): 1484–97. http://dx.doi.org/10.1175/2011jpo4542.1.

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Abstract Based on Monte Carlo simulations of the nonlinear Schrödinger equation in two horizontal dimensions, the dependence of the kurtosis on the directional energy distribution of the initial conditions is examined. The parametric survey is carried out to obtain the behavior of the kurtosis as function of the Benjamin–Feir index and directional spread in directional sea states. As directional dispersion effect becomes significant, the kurtosis monotonically decreases in comparison with the unidirectional waves. A parameterization of the kurtosis estimated from directional spectra is propose

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46

Hartansky, Rene. "Analysis of Omni-directivity Error of Electromagnetic Field Probe using Isotropic Antenna." Measurement Science Review 16, no. 6 (2016): 287–93. http://dx.doi.org/10.1515/msr-2016-0036.

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Abstract This manuscript analyzes the omni-directivity error of an electromagnetic field (EM) probe and its dependence on frequency. The global directional characteristic of a whole EM probe consists of three independent directional characteristics of EM sensors - one for each coordinate. The shape of particular directional characteristics is frequency dependent and so is the shape of the whole EM probe’s global directional characteristic. This results in systematic error induced in the measurement of EM fields. This manuscript also contains quantitative formulation of such errors caused by th

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47

Wiedermann, Wolfgang, and Alexander von Eye. "Direction-dependence analysis." International Journal of Behavioral Development 39, no. 6 (2015): 570–80. http://dx.doi.org/10.1177/0165025415582056.

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The concept of direction dependence has attracted growing attention due to its potential to help decide which of two competing linear regression models ( X → Y or Y → X) is more likely to reflect the correct causal flow. Several tests have been proposed to evaluate hypotheses compatible with direction dependence. In this issue, Thoemmes (2015) reports results of an empirical evaluation of direction-dependence tests using real-world data sets with known causal ordering and concludes that the tests (known to perform excellent in simulation studies) perform poorly in the real-world setting. The p

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48

Fanchi, John R. "Directional Permeability." SPE Reservoir Evaluation & Engineering 11, no. 03 (2008): 565–68. http://dx.doi.org/10.2118/102343-pa.

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Summary A relationship between permeability tensor and coordinate orientation is used to estimate the error that occurs when some of the terms in the permeability tensor are neglected. The formula for calculating the errors that appear in the magnitude and direction of flow rate are presented. The results are applicable to any reservoir system that is influenced by directional permeability. Introduction Reservoir management experience has demonstrated that anisotropic permeability is needed to correctly solve fluid-flow problems in a variety of realistic settings. Permeability anisotropy in a

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49

Dautriat, Jeremie, Nicolas F. Gland, Souhail Youssef, Elisabeth Rosenberg, Samir Bekri, and Olga Vizika-kavvadias. "Stress-Dependent Directional Permeabilities of Two Analog Reservoir Rocks: A Prospective Study on Contribution of µ-Tomography and Pore Network Models." SPE Reservoir Evaluation & Engineering 12, no. 02 (2009): 297–310. http://dx.doi.org/10.2118/110455-pa.

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Summary To predict the effects of stress on rock permeability, the authors propose an integrated approach based on an extended rock characterization, an experimental investigation of pressure dependency of directional rock permeabilities and finally a pore-scale simulation of this dependency using equivalent pore network extracted from microtomography analysis. This study has been conducted on two analog reservoir rock types: the high-permeability Bentheimer Sandstone and a dual-porosity bioclastic carbonate, the Estaillades Limestone, having an intermediate permeability. Compression tests hav

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50

MRÓZ, S. "DIRECTIONAL AUGER ELECTRON SPECTROSCOPY — PHYSICAL FOUNDATIONS AND APPLICATIONS." Surface Review and Letters 04, no. 01 (1997): 117–39. http://dx.doi.org/10.1142/s0218625x97000158.

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Experimental data about the dependence of the Auger signal from crystalline samples on the primary beam direction are presented and discussed. It is shown that, for Auger electrons and elastically and inelastically backscattered electrons, maxima of the signal in its dependence on the polar and azimuth angles of the primary beam (in polar and azimuth profiles, respectively) appear when the primary beam is parallel either to one of the close-packed rows of atoms or to one of the densely packed atomic planes in the sample. This indicates that the diffraction of the primary electron beam is respo

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