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Journal articles on the topic 'Correlation'

To see the other types of publications on this topic, follow the link: Correlation.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Anand, Vijayakumar, Tomas Katkus, Soon Hock Ng, and Saulius Juodkazis. "Review of Fresnel incoherent correlation holography with linear and non-linear correlations [Invited]." Chinese Optics Letters 19, no. 2 (2021): 020501. http://dx.doi.org/10.3788/col202119.020501.

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2

Szapudi, I., A. S. Szalay, and P. Boschan. "Cluster correlations from N-point correlation amplitudes." Astrophysical Journal 390 (May 1992): 350. http://dx.doi.org/10.1086/171286.

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3

Eberly, J. H. "Correlation? What Correlation?" Acta Physica Polonica A 86, no. 1-2 (July 1994): 151–57. http://dx.doi.org/10.12693/aphyspola.86.151.

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4

Hu, Zheng-Da, Jicheng Wang, Yixin Zhang, and Ye-Qi Zhang. "Dynamics of Nonclassical Correlations with an Initial Correlation." Journal of the Physical Society of Japan 83, no. 11 (November 15, 2014): 114004. http://dx.doi.org/10.7566/jpsj.83.114004.

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5

Walther, Andreas, and Christof Faller. "Interaural correlation discrimination from diffuse field reference correlations." Journal of the Acoustical Society of America 133, no. 3 (March 2013): 1496–502. http://dx.doi.org/10.1121/1.4790473.

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6

Joe, Harry. "Generating random correlation matrices based on partial correlations." Journal of Multivariate Analysis 97, no. 10 (November 2006): 2177–89. http://dx.doi.org/10.1016/j.jmva.2005.05.010.

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7

Cope, Leslie, Daniel Q. Naiman, and Giovanni Parmigiani. "Integrative correlation: Properties and relation to canonical correlations." Journal of Multivariate Analysis 123 (January 2014): 270–80. http://dx.doi.org/10.1016/j.jmva.2013.09.011.

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8

Neff, T., and H. Feldmeier. "Tensor correlations in the unitary correlation operator method." Nuclear Physics A 713, no. 3-4 (January 2003): 311–71. http://dx.doi.org/10.1016/s0375-9474(02)01307-6.

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9

Kermarrec, Gaël, and Steffen Schön. "Taking correlations into account: a diagonal correlation model." GPS Solutions 21, no. 4 (September 6, 2017): 1895–906. http://dx.doi.org/10.1007/s10291-017-0665-y.

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10

Andreev, I. "Correlation length versus radius in Bose-Einstein correlations." Nuclear Physics A 525 (April 1991): 527–30. http://dx.doi.org/10.1016/0375-9474(91)90377-i.

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11

Lipa, P., P. Carruthers, H. C. Eggers, and B. Buschbeck. "The correlation integral as probe of multiparticle correlations." Physics Letters B 285, no. 3 (July 1992): 300–308. http://dx.doi.org/10.1016/0370-2693(92)91468-o.

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12

Dean, Thomas J., and Quang V. Cao. "Inherent Correlations Between Stand Biomass Variables Calculated from Tree Measurements." Forest Science 49, no. 2 (April 1, 2003): 279–84. http://dx.doi.org/10.1093/forestscience/49.2.279.

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Abstract Correlating stand-level variables is an important component of forest production ecology; however, correlations among variables calculated with equations having common independent variables are potentially spurious. Monte Carlo simulation techniques were used to determine the inherent or null correlation coefficients among stand-level biomass variables calculated with published, individual-tree equations using loblolly pine (Pinus taeda L.) data. Null correlations of foliage mass/ha with branch mass/ha, stem mass/ha, and periodic annual increments of biomass were high with similar equation forms and exponents in the equations. Most, but not all, correlation coefficients of foliage mass/ha with other biomass components and periodic annual increments of biomass were significantly different from the corresponding, null correlation coefficients. Stating the probability of a greater difference between the observed and the null correlation coefficients proved crucial in distinguishing between potentially meaningful and spurious correlations because in many cases, the observed correlation coefficients were close to the null values. Interpretation of the correlations among stand variables varied with the equations used to predict the variables. Consequently, in addition to comparing correlation coefficients to appropriate null values, conclusions drawn from the correlation among stand-level variables depend on the accuracy and precision of the equations used to calculate them. FOR. SCI. 49(2):279–284.

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13

Hamilton, A. J. S., and J. R. ,. III Gott. "Cluster-cluster correlations and constraints on the correlation hierarchy." Astrophysical Journal 331 (August 1988): 641. http://dx.doi.org/10.1086/166587.

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14

Arias de Saavedra, F., and E. Buendía. "σz-dependent correlations with other correlation mechanisms in liquidHe3." Physical Review B 46, no. 21 (December 1, 1992): 13934–41. http://dx.doi.org/10.1103/physrevb.46.13934.

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15

Ellett, Frederick S., and David P. Ericson. "Correlation, partial correlation, and causation." Synthese 67, no. 2 (May 1986): 157–73. http://dx.doi.org/10.1007/bf00540066.

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16

Prevost, A. Toby, Dan Mason, Simon Griffin, Ann-Louise Kinmonth, Stephen Sutton, and David Spiegelhalter. "Allowing for correlations between correlations in random-effects meta-analysis of correlation matrices." Psychological Methods 12, no. 4 (December 2007): 434–50. http://dx.doi.org/10.1037/1082-989x.12.4.434.

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17

Faltermeier, Rupert, Martin A. Proescholdt, Sylvia Bele, and Alexander Brawanski. "Parameter Optimization for Selected Correlation Analysis of Intracranial Pathophysiology." Computational and Mathematical Methods in Medicine 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/652030.

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Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation and intracranial compliance, as predicted by a mathematical model. The time resolved selected correlation analysis is based on a windowing technique combined with Fourier-based coherence calculations and therefore depends on several parameters. For real time application of this method at an ICU it is inevitable to adjust this mathematical tool for high sensitivity and distinct reliability. In this study, we will introduce a method to optimize the parameters of the selected correlation analysis by correlating an index, called selected correlation positive (SCP), with the outcome of the patients represented by the Glasgow Outcome Scale (GOS). For that purpose, the data of twenty-five patients were used to calculate the SCP value for each patient and multitude of feasible parameter sets of the selected correlation analysis. It could be shown that an optimized set of parameters is able to improve the sensitivity of the method by a factor greater than four in comparison to our first analyses.

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18

Fletcher, J. "Correlation." BMJ 338, may13 2 (May 13, 2009): b1804. http://dx.doi.org/10.1136/bmj.b1804.

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19

Fletcher, J. "Correlation." BMJ 339, jul01 2 (July 1, 2009): b2578. http://dx.doi.org/10.1136/bmj.b2578.

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20

Sedgwick, P. "Correlation." BMJ 345, aug15 1 (August 15, 2012): e5407-e5407. http://dx.doi.org/10.1136/bmj.e5407.

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21

Her, Qoua L., and Jenna Wong. "Significant correlation versus strength of correlation." American Journal of Health-System Pharmacy 77, no. 2 (December 26, 2019): 73–75. http://dx.doi.org/10.1093/ajhp/zxz280.

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22

Hwa, Rudolph C. "High Hadron Correlation and No Correlation." Nuclear Physics A 783, no. 1-4 (February 2007): 57–64. http://dx.doi.org/10.1016/j.nuclphysa.2006.11.004.

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23

Packham, N., and F. Woebbeking. "Correlation scenarios and correlation stress testing." Journal of Economic Behavior & Organization 205 (January 2023): 55–67. http://dx.doi.org/10.1016/j.jebo.2022.11.002.

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24

Phạm, Thanh‐Son, Hrvoje Tkalčić, Malcolm Sambridge, and Brian L. N. Kennett. "Earth's Correlation Wavefield: Late Coda Correlation." Geophysical Research Letters 45, no. 7 (April 13, 2018): 3035–42. http://dx.doi.org/10.1002/2018gl077244.

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25

Costa, Natália, César Silva, and Paulo Ferreira. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies." International Journal of Financial Studies 7, no. 3 (September 15, 2019): 51. http://dx.doi.org/10.3390/ijfs7030051.

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In recent years, increasing attention has been devoted to cryptocurrencies, owing to their great development and valorization. In this study, we propose to analyse four of the major cryptocurrencies, based on their market capitalization and data availability: Bitcoin, Ethereum, Ripple, and Litecoin. We apply detrended fluctuation analysis (the regular one and with a sliding windows approach) and detrended cross-correlation analysis and the respective correlation coefficient. We find that Bitcoin and Ripple seem to behave as efficient financial assets, while Ethereum and Litecoin present some evidence of persistence. When correlating Bitcoin with the other cryptocurrencies under analysis, we find that for short time scales, all the cryptocurrencies have statistically significant correlations with Bitcoin, although Ripple has the highest correlations. For higher time scales, Ripple is the only cryptocurrency with significant correlation.

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26

Shenoy, Asha, Shalaka Khade, and Ramesh Waghmare. "Meningioma: A Clinicopathological Correlation." Annals of Pathology and Laboratory Medicine 6, no. 3 (March 16, 2019): A149–157. http://dx.doi.org/10.21276/apalm.2354.

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27

P.U., Dipin Kumar. "Clinicopathological Correlation of Pancytopenia." Indian Journal of Emergency Medicine 2, no. 2 (2016): 101–4. http://dx.doi.org/10.21088/ijem.2395.311x.2216.2.

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28

Keating, J. P., and D. J. Smith. "Twin prime correlations from the pair correlation of Riemann zeros." Journal of Physics A: Mathematical and Theoretical 52, no. 36 (August 13, 2019): 365201. http://dx.doi.org/10.1088/1751-8121/ab3521.

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29

Ariunbold, Gombojav O., Yuri V. Rostovtsev, Vladimir A. Sautenkov, and Marlan O. Scully. "Intensity correlation and anti-correlations in coherently driven atomic vapor." Journal of Modern Optics 57, no. 14-15 (April 15, 2010): 1417–27. http://dx.doi.org/10.1080/09500341003777905.

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30

Iskhakov, R. S., V. A. Ignatchenko, S. V. Komogortsev, and A. D. Balaev. "Study of magnetic correlations in nanostructured ferromagnets by correlation magnetometry." Journal of Experimental and Theoretical Physics Letters 78, no. 10 (November 2003): 646–50. http://dx.doi.org/10.1134/1.1644310.

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31

Fataftah, Hiba, and Wael Karain. "Detecting protein atom correlations using correlation of probability of recurrence." Proteins: Structure, Function, and Bioinformatics 82, no. 9 (April 18, 2014): 2180–89. http://dx.doi.org/10.1002/prot.24574.

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32

Sheppard, C. M. "Drift-flux correlation disengagement models: Part II — Shape-based correlations for disengagement prediction via churn-turbulent drift-flux correlation." Journal of Hazardous Materials 44, no. 2-3 (December 1995): 127–39. http://dx.doi.org/10.1016/0304-3894(95)00052-v.

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33

Bikondoa, Oier. "On the use of two-time correlation functions for X-ray photon correlation spectroscopy data analysis." Journal of Applied Crystallography 50, no. 2 (February 17, 2017): 357–68. http://dx.doi.org/10.1107/s1600576717000577.

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Multi-time correlation functions are especially well suited to study non-equilibrium processes. In particular, two-time correlation functions are widely used in X-ray photon correlation experiments on systems out of equilibrium. One-time correlations are often extracted from two-time correlation functions at different sample ages. However, this way of analysing two-time correlation functions is not unique. Here, two methods to analyse two-time correlation functions are scrutinized, and three illustrative examples are used to discuss the implications for the evaluation of the correlation times and functional shape of the correlations.

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34

Zhang, Yuesong, Bin Zhang, and Changsheng Zhang. "Composite Service Reselection Method in Correlation Context." International Journal of Web Services Research 12, no. 2 (April 2015): 73–97. http://dx.doi.org/10.4018/ijwsr.2015040104.

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Reselection of composite service is one of the core research issues in service computing field. In practical scenarios, because of business relations between service providers or the restrictions of service physical deployment environment, there may be correlation among services. Its existence affects the quality of services used together, makes corresponding abstract services potentially correlating with each other. This leads the QoS used to determine the bindings between abstract and concrete services to be inaccurate, and the selected services would not be the optimal one in actual execution environment. In this paper, the QoS-Correlation services are extracted from the execution log through Apriori data mining method. Then, the authors capture the correlated abstract services to present such correlations in a higher level of abstraction regardless of actual services. In the final, the correlated abstract services will be regarded as a task unit, and the corresponding correlation services of each task unit as its candidate services set. They also propose a correlation-aware service selection method in the paper. The method includes runtime reselection whenever the actual QoS largely deviates from the estimates.

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35

Radok, Uwe, and Timothy J. Brown. "Anomaly Correlation and an Alternative: Partial Correlation." Monthly Weather Review 121, no. 4 (April 1993): 1269–71. http://dx.doi.org/10.1175/1520-0493(1993)121<1269:acaaap>2.0.co;2.

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36

Gianino, Peter D. "Heteroassociative correlation filter using cross-correlation enhancement." Optical Engineering 39, no. 5 (May 1, 2000): 1142. http://dx.doi.org/10.1117/1.602484.

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37

Zhuo, Bin, Duo Jiang, and Yanming Di. "Test-statistic correlation and data-row correlation." Statistics & Probability Letters 167 (December 2020): 108903. http://dx.doi.org/10.1016/j.spl.2020.108903.

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38

Sjödahl, Mikael. "Gradient Correlation Functions in Digital Image Correlation." Applied Sciences 9, no. 10 (May 24, 2019): 2127. http://dx.doi.org/10.3390/app9102127.

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The performance of seven different correlation functions applied in Digital Image Correlation has been investigated using simulated and experimentally acquired laser speckle patterns. The correlation functions were constructed as combinations of the pure intensity correlation function, the gradient correlation function and the Hessian correlation function, respectively. It was found that the correlation function that was constructed as the product of all three pure correlation functions performed best for the small speckle sizes and large correlation values, respectively. The difference between the different functions disappeared as the speckle size increased and the correlation value dropped. On average, the random error of the combined correlation function was half that of the traditional intensity correlation function within the optimum region.

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39

XI, ZhengJun, HongXuan LEI, and YongMing LI. "Quantum correlation on the correlation directions measurements." SCIENTIA SINICA Physica, Mechanica & Astronomica 42, no. 5 (April 1, 2012): 515–21. http://dx.doi.org/10.1360/132011-690.

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40

Liu, Sheen, Howard Qi, Jian Shi, and Yan Alice Xie. "Inferring Default Correlation from Equity Return Correlation." European Financial Management 21, no. 2 (May 29, 2013): 333–59. http://dx.doi.org/10.1111/j.1468-036x.2013.12016.x.

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41

Liu, Sheen, Howard Qi, Jian Shi, and Yan Alice Xie. "Inferring Default Correlation from Equity Return Correlation." European Financial Management 21, no. 2 (March 2015): 333–59. http://dx.doi.org/10.1111/eufm.12016.

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42

Shen, Cencheng, Carey E. Priebe, and Joshua T. Vogelstein. "From Distance Correlation to Multiscale Graph Correlation." Journal of the American Statistical Association 115, no. 529 (April 11, 2019): 280–91. http://dx.doi.org/10.1080/01621459.2018.1543125.

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43

Chen, Shiteng, and Periklis A. Papakonstantinou. "Correlation lower bounds from correlation upper bounds." Information Processing Letters 116, no. 8 (August 2016): 537–40. http://dx.doi.org/10.1016/j.ipl.2016.03.012.

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44

Roehner, B. "An Empirical Study of Price Correlations: 2. The Decrease in Price Correlation with Distance and the Concept of Correlation Length." Environment and Planning A: Economy and Space 21, no. 3 (March 1989): 289–98. http://dx.doi.org/10.1068/a210289.

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The dependence of the correlation between wheat price fluctuations on different markets with respect to the distance between those markets is investigated. It is shown that the decrease in the correlation is exponential and is governed by a characteristic distance which is called the correlation length for wheat prices. This is a measure of the level of market integration in a given area. The magnitude of the correlation length is compared for different cereals: wheat, rye, and oats, and the evolution of the correlation length during the 19th century is studied. In particular, it is observed that subsistence crises are characterised by a collective behaviour of the economy which results in a sudden peak in the correlation length. Last, the part played by the spatial correlation between precipitations is investigated. It appears to be rather small; consequently, the price-correlation length is primarily the result of economic factors.

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45

Wu, Xinming, Yunzhi Shi, Sergey Fomel, and Fangyu Li. "Incremental correlation of multiple well logs following geologically optimal neighbors." Interpretation 6, no. 3 (August 1, 2018): T713—T722. http://dx.doi.org/10.1190/int-2018-0020.1.

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Well-log correlation is a crucial step to construct cross sections in estimating structures between wells and building subsurface models. Manually correlating multiple logs can be highly subjective and labor intensive. We have developed a weighted incremental correlation method to efficiently correlate multiple well logs following a geologically optimal path. In this method, we first automatically compute an optimal path that starts with longer logs and follows geologically continuous structures. Then, we use the dynamic warping technique to sequentially correlate the logs following the path. To avoid potential error propagation with the path, we modify the dynamic warping algorithm to use all the previously correlated logs as references to correlate the current log in the path. During the sequential correlations, we compute the geologic distances between the current log and all of the reference logs. Such distances are proportional to Euclidean distances, but they increase dramatically across discontinuous structures such as faults and unconformities that separate the current log from the reference logs. We also compute correlation confidences to provide quantitative quality control of the correlation results. We use the geologic distances and correlation confidences to weight the references in correlating the current log. By using this weighted incremental correlation method, each log is optimally correlated with all the logs that are geologically closer and are ordered with higher priorities in the path. Hundreds of well logs from the Teapot Dome survey demonstrate the efficiency and robustness of the method.

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46

Mata, G. J., and G. B. Arnold. "Energy gap, dynamic correlations, and correlation length in two-dimensional antiferromagnets." Physical Review B 39, no. 13 (May 1, 1989): 9768–71. http://dx.doi.org/10.1103/physrevb.39.9768.

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47

Stellmack, Mark A., and Neal F. Viemeister. "Discrimination of interaural envelope correlation for high- and low-standard correlations." Journal of the Acoustical Society of America 111, no. 5 (2002): 2467. http://dx.doi.org/10.1121/1.4778523.

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48

Mulay, S. B., J. J. Quinn, and M. A. Shattuck. "Correlation diagrams: an intuitive approach to correlations in quantum Hall systems." Journal of Physics: Conference Series 702 (March 2016): 012007. http://dx.doi.org/10.1088/1742-6596/702/1/012007.

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49

Popescu, R., T. Glasmacher, J. D. Dinius, S. J. Gaff, C. K. Gelbke, D. O. Handzy, M. J. Huang, et al. "Sensitivity of two-fragment correlation functions to initial-state momentum correlations." Physical Review C 58, no. 1 (July 1, 1998): 270–80. http://dx.doi.org/10.1103/physrevc.58.270.

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50

Lehmkühler, Felix, Birgit Fischer, Leonard Müller, Beatrice Ruta, and Gerhard Grübel. "Structure beyond pair correlations: X-ray cross-correlation from colloidal crystals." Journal of Applied Crystallography 49, no. 6 (November 8, 2016): 2046–52. http://dx.doi.org/10.1107/s1600576716017313.

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The results of an X-ray cross-correlation analysis (XCCA) study on hard-sphere colloidal crystals and glasses are presented. The article shows that cross-correlation functions can be used to extract structural information beyond the static structure factor in such systems. In particular, the powder average can be overcome by accessing the crystals' unit-cell structure. In this case, the results suggest that the crystal is of face-centered cubic type. It is demonstrated that XCCA is a valuable tool for X-ray crystallography, in particular for studies on colloidal systems. These are typically characterized by a rather poor crystalline quality due to size polydispersity and limitations in experimental resolution because of the smallqvalues probed. Furthermore, nontrivial correlations are observed that allow a more detailed insight into crystal structures beyond conventional crystallography, especially to extend knowledge in structure formation processes and phase transitions.

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