Relevant bibliographies by topics / Random independent

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Random independent'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Random independent"

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Podczeck, Konrad, and Daniela Puzzello. "Independent random matching." Economic Theory 50, no. 1 (2010): 1–29. http://dx.doi.org/10.1007/s00199-010-0584-4.

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Suck, Reinhard. "Independent random utility representations." Mathematical Social Sciences 43, no. 3 (2002): 371–89. http://dx.doi.org/10.1016/s0165-4896(02)00020-3.

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Robert, Christian. "Independent Random Sampling Methods." CHANCE 32, no. 1 (2019): 62–63. http://dx.doi.org/10.1080/09332480.2019.1579592.

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Lutz, Jack H. "On independent random oracles." Theoretical Computer Science 92, no. 2 (1992): 301–7. http://dx.doi.org/10.1016/0304-3975(92)90317-9.

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Kruglov, V. M. "Weak Compactness of Random Sumsof Independent Random Variables." Theory of Probability & Its Applications 43, no. 2 (1999): 203–20. http://dx.doi.org/10.1137/s0040585x97976830.

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Hu, Tien-Chung. "On pairyise independent and independent exchangeable random variables." Stochastic Analysis and Applications 15, no. 1 (1997): 51–57. http://dx.doi.org/10.1080/07362999708809463.

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Suleymanov, Elchin. "Branching-independent random utility model." Journal of Economic Theory 220 (September 2024): 105880. http://dx.doi.org/10.1016/j.jet.2024.105880.

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Duffie, Darrell, and Yeneng Sun. "Existence of independent random matching." Annals of Applied Probability 17, no. 1 (2007): 386–419. http://dx.doi.org/10.1214/105051606000000673.

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Gallesco, Christophe. "Meeting time of independent random walks in random environment." ESAIM: Probability and Statistics 17 (2013): 257–92. http://dx.doi.org/10.1051/ps/2011159.

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Korolev, V. Yu. "Convergence of Random Sequences with Independent Random Indices II." Theory of Probability & Its Applications 40, no. 4 (1996): 770–72. http://dx.doi.org/10.1137/1140089.

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Dissertations / Theses on the topic "Random independent"

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Ipsen, Jesper R. [Verfasser]. "Products of independent Gaussian random matrices / Jesper R. Ipsen." Bielefeld : Universitätsbibliothek Bielefeld, 2015. http://d-nb.info/1077063482/34.

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Kasparavičiūtė, Aurelija. "Theorems of large deviations for the sums of a random number of independent random variables." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140121_101308-41106.

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The research object of this thesis is the sum of a random number of summands of independent identically distributed random variables with positive weights. Such sums appear as models, for example, in insurance, finance mathematics. Throughout the thesis, it is assumed that the random number of summands is independent of the summands, the summands satisfy S. N. Bernstein's condition, and the random number of summands together with weights satisfy some compatibility conditions. The aim of this dissertation is a normal approximation to a distribution of the sum of a random number of summands of i
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Wu, Hao-cun. "Independent component analysis and its applications in finance." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39559099.

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吳浩存 and Hao-cun Wu. "Independent component analysis and its applications in finance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39559099.

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Sambale, Holger [Verfasser]. "Second order concentration for functions of independent random variables / Holger Sambale." Bielefeld : Universitätsbibliothek Bielefeld, 2016. http://d-nb.info/1084888173/34.

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Bamps, Cédric. "Self-Testing and Device-Independent Quantum Random Number Generation with Nonmaximally Entangled States." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/266954.

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The generation of random number sequences, that is, of unpredictable sequences free from any structure, has found numerous applications in the field of information technologies. One of the most sensitive applications is cryptography, whose modern practice makes use of secret keys that must indeed be unpredictable for any potential adversary. This type of application demands highly secure randomness generators.This thesis contributes to the device-independent approach to quantum random number generation (DIRNG, for Device-Independent Random Number Generation). Those methods of randomness genera
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Krüger, Torben [Verfasser], and László [Akademischer Betreuer] Erdős. "Local spectral universality for random matrices with independent entries / Torben Krüger. Betreuer: Laszlo Erdos." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015. http://d-nb.info/1105374211/34.

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Krasnitskiy, S. M., and D. S. Silvestrov. "Condition of orthogonality of probabilistic measures corresponding to gaussian generalized random processes with independent values." Thesis, Київський національний університет технологій та дизайну, 2019. https://er.knutd.edu.ua/handle/123456789/14620.

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Baumgarten, Christoph [Verfasser], and Frank [Akademischer Betreuer] Aurzada. "Persistence of sums of independent random variables, iterated processes and fractional Brownian motion / Christoph Baumgarten. Betreuer: Frank Aurzada." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2013. http://d-nb.info/1035276445/34.

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Nieto-Silleras, Olmo. "Device-independent randomness generation from several Bell estimators." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/271365.

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The device-independent (DI) framework is a novel approach to quantum information science which exploits the nonlocality of quantum physics to certify the correct functioning of a quantum information processing task without relying on any assumption on the inner workings of the devices performing the task. This thesis focuses on the device-independent certification and generation of true randomness for cryptographic applications. The existence of such true randomness relies on a fundamental relation between the random character of quantum theory and its nonlocality, which arises in the context
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Books on the topic "Random independent"

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Martino, Luca, David Luengo, and Joaquín Míguez. Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2.

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Skorohod, A. V. Random Processes with Independent Increments. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3710-2.

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Skorokhod, A. V. Random processes with independent increments. Kluwer Academic Publishers, 1991.

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Braverman, Michael Sh. Independent random variables and rearrangement invariant spaces. Cambridge University Press, 1994.

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M, Lee Lawrence, Nicol David, and United States. National Aeronautics and Space Administration., eds. On the minimum of independent geometrically distributed random variables. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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Arak, T. V. Uniform limit theorems for sums of independent random variables. American Mathematical Society, 1988.

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Petrov, V. V. Limit theorems of probability theory: Sequences of independent random variables. Clarendon Press, 1995.

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Zaihraiev, Oleksandr. Large-deviation theorems for sums of independent and identically distributed random vectors. Wydawn. Uniwersytetu Mikolaja Kopernika, 2005.

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Meerschaert, Mark M. Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice. John Wiley & Sons, 2001.

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Ni, Jian. Connectivity, dynamic performance of random radio networks and state independent uniquely decodable codes: Codeword synchronisation of collaborative coding multiple access communications. typescript, 1994.

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Book chapters on the topic "Random independent"

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Jacod, Jean, and Philip Protter. "Independent Random Variables." In Universitext. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-55682-1_10.

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Gooch, Jan W. "Independent Random Variables." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15255.

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Girardin, Valérie, and Nikolaos Limnios. "Independent Random Sequences." In Applied Probability. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97412-5_1.

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Jacod, Jean, and Philip Protter. "Independent Random Variables." In Universitext. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-51431-9_10.

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Martino, Luca, David Luengo, and Joaquín Míguez. "Asymptotically Independent Samplers." In Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2_7.

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Chen, Xia. "Independent random walks: large deviations." In Random Walk Intersections. American Mathematical Society, 2010. http://dx.doi.org/10.1090/surv/157/07.

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Martino, Luca, David Luengo, and Joaquín Míguez. "Introduction." In Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2_1.

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Martino, Luca, David Luengo, and Joaquín Míguez. "Direct Methods." In Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2_2.

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Martino, Luca, David Luengo, and Joaquín Míguez. "Accept–Reject Methods." In Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2_3.

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Martino, Luca, David Luengo, and Joaquín Míguez. "Adaptive Rejection Sampling Methods." In Independent Random Sampling Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72634-2_4.

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Conference papers on the topic "Random independent"

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Kavuri, Gautam A., Jasper Palfree, Dileep V. Reddy, et al. "Traceable Device-Independent Randomness as a Service." In Quantum 2.0. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/quantum.2024.qm5a.3.

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We implement a traceable protocol for device-independent random number generation. Our demonstration involves transparently integrating a device-independent RNG into a public randomness beacon, and feeding 7434 random number pulses into the beacon over 39 days.
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Bourhail, Mohamed, Toufik Chaayra, Faissal El Bouanani, and Zakaria El Allali. "Accurate Approximations for the Ratio of Sums of Independent Rayleigh Random Variables." In 2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2024. https://doi.org/10.1109/commnet63022.2024.10793318.

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Zhou, Han, Xiangyu Wang, Ziyang Chen, and Song Yu. "Eliminating Correlation on a Continuous Variable Source Independent Quantum Random Number Generator with Finite Bandwidth." In 2024 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC). IEEE, 2024. https://doi.org/10.1109/acp/ipoc63121.2024.10809920.

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Alon, Noga, and Asaf Nussboim. "k-Wise Independent Random Graphs." In 2008 IEEE 49th Annual IEEE Symposium on Foundations of Computer Science (FOCS). IEEE, 2008. http://dx.doi.org/10.1109/focs.2008.61.

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Coja-Oghlan, Amin, and Charilaos Efthymiou. "On independent sets in random graphs." In Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2011. http://dx.doi.org/10.1137/1.9781611973082.12.

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Kermarrec, Anne-Marie, Vincent Leroy, and Christopher Thraves. "Converging Quickly to Independent Uniform Random Topologies." In 2011 19th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 2011. http://dx.doi.org/10.1109/pdp.2011.60.

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Aghajan, Adel, and Behrouz Touri. "On Distributed Optimization Over Random Independent Networks." In 2022 American Control Conference (ACC). IEEE, 2022. http://dx.doi.org/10.23919/acc53348.2022.9867471.

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Daskalakis, Constantinos, Ilias Diakonikolas, Ryan ODonnell, Rocco A. Servedio, and Li-Yang Tan. "Learning Sums of Independent Integer Random Variables." In 2013 IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2013. http://dx.doi.org/10.1109/focs.2013.31.

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Karloff, Howard, and Yishay Mansour. "On construction of k-wise independent random variables." In the twenty-sixth annual ACM symposium. ACM Press, 1994. http://dx.doi.org/10.1145/195058.195409.

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Bharadwaj, Pawan, Laurent Demanet, and Aimé Fournier. "Deblending random seismic sources via independent component analysis." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17677817.1.

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Reports on the topic "Random independent"

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Rosenblatt-Roth, Millu. Random Field Identification from a Sample: 1. The Independent Case. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada186070.

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Duffie, Darrell, and Yeneng Sun. The Exact Law of Large Numbers for Independent Random Matching. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17280.

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Rosenblatt-Roth, Millu. Random Field Identification from a Sample. I. The Independent Case. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada170185.

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Niang, Aladji Babacar, Gane Samb Lo, and Moumouni Diallo. Asymptotic laws of summands I: square integrable independent random variables. Arxiv, 2021. http://dx.doi.org/10.16929/hs/imhotep.2021.x.002.

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This paper is part of series on self-contained papers in which a large part, if not the full extent, of the asymptotic limit theory of summands of independent random variables is exposed. Each paper of the series may be taken as review exposition but specially as a complete exposition expect a few exterior resources. For graduate students and for researchers (beginners or advanced), any paper of the series should be considered as a basis for constructing new results. The contents are taken from advanced books but the organization and the proofs use more recent tools, are given in more details
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Schlenker, George J. Methods for Calculating the Probability Distribution of Sums of Independent Random Variables. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada170465.

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Brienzo, Richard K. Statistics of a Chi-Square Random Variable Obtained from Independent Gaussian Samples with a Non-Zero Mean and Arbitrary Variance. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada214477.

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Nuttall, Albert H. Joint Probability Density Function of Selected Order Statistics and the Sum of the Remainder as Applied to Arbitrary Independent Random Variables. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419339.

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Edwards, Susan L., Marcus E. Berzofsky, and Paul P. Biemer. Addressing Nonresponse for Categorical Data Items Using Full Information Maximum Likelihood with Latent GOLD 5.0. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0038.1809.

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Full information maximum likelihood (FIML) is an important approach to compensating for nonresponse in data analysis. Unfortunately, only a few software packages implement FIML and even fewer have the capability to compensate for missing not at random (MNAR) nonresponse. One of these packages is Statistical Innovations’ Latent GOLD; however, the user documentation for Latent GOLD provides no mention of this capability. The purpose of this paper is to provide guidance for fitting MNAR FIML models for categorical data items using the Latent GOLD 5.0 software. By way of comparison, we also provid
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipel
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipel
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