Статті в журналах з теми "Stochastic block models"
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Abbe, Emmanuel. "Community Detection and Stochastic Block Models." Foundations and Trends® in Communications and Information Theory 14, no. 1-2 (2018): 1–162. http://dx.doi.org/10.1561/0100000067.
Повний текст джерелаVo, Thi Phuong Thuy. "Chain-referral sampling on stochastic block models." ESAIM: Probability and Statistics 24 (2020): 718–38. http://dx.doi.org/10.1051/ps/2020025.
Повний текст джерелаHan, Jie, Tao Guo, Qiaoqiao Zhou, Wei Han, Bo Bai, and Gong Zhang. "Structural Entropy of the Stochastic Block Models." Entropy 24, no. 1 (January 3, 2022): 81. http://dx.doi.org/10.3390/e24010081.
Повний текст джерелаYang, Guangren, Songshan Yang, and Wang Zhou. "Adjacency matrix comparison for stochastic block models." Random Matrices: Theory and Applications 08, no. 03 (July 2019): 1950010. http://dx.doi.org/10.1142/s2010326319500102.
Повний текст джерелаLatouche, Pierre, Etienne Birmelé, and Christophe Ambroise. "Model selection in overlapping stochastic block models." Electronic Journal of Statistics 8, no. 1 (2014): 762–94. http://dx.doi.org/10.1214/14-ejs903.
Повний текст джерелаGhosh, Prasenjit, Debdeep Pati, and Anirban Bhattacharya. "Posterior Contraction Rates for Stochastic Block Models." Sankhya A 82, no. 2 (October 14, 2019): 448–76. http://dx.doi.org/10.1007/s13171-019-00180-5.
Повний текст джерелаCarlen, Jane, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, and Mason A. Porter. "Role detection in bicycle-sharing networks using multilayer stochastic block models." Network Science 10, no. 1 (March 2022): 46–81. http://dx.doi.org/10.1017/nws.2021.21.
Повний текст джерелаMcMillan, Audra, and Adam Smith. "When is non-trivial estimation possible for graphons and stochastic block models?‡." Information and Inference: A Journal of the IMA 7, no. 2 (August 23, 2017): 169–81. http://dx.doi.org/10.1093/imaiai/iax010.
Повний текст джерелаKloumann, Isabel M., Johan Ugander, and Jon Kleinberg. "Block models and personalized PageRank." Proceedings of the National Academy of Sciences 114, no. 1 (December 20, 2016): 33–38. http://dx.doi.org/10.1073/pnas.1611275114.
Повний текст джерелаCoulson, Matthew, Robert E. Gaunt, and Gesine Reinert. "Compound Poisson approximation of subgraph counts in stochastic block models with multiple edges." Advances in Applied Probability 50, no. 3 (September 2018): 759–82. http://dx.doi.org/10.1017/apr.2018.35.
Повний текст джерелаMarino, Maria Francesca, and Silvia Pandolfi. "Hybrid maximum likelihood inference for stochastic block models." Computational Statistics & Data Analysis 171 (July 2022): 107449. http://dx.doi.org/10.1016/j.csda.2022.107449.
Повний текст джерелаWang, Y. X. Rachel, and Peter J. Bickel. "Likelihood-based model selection for stochastic block models." Annals of Statistics 45, no. 2 (April 2017): 500–528. http://dx.doi.org/10.1214/16-aos1457.
Повний текст джерелаBartolucci, Francesco, Maria Francesca Marino, and Silvia Pandolfi. "Dealing with reciprocity in dynamic stochastic block models." Computational Statistics & Data Analysis 123 (July 2018): 86–100. http://dx.doi.org/10.1016/j.csda.2018.01.010.
Повний текст джерелаLei, Jing, and Alessandro Rinaldo. "Consistency of spectral clustering in stochastic block models." Annals of Statistics 43, no. 1 (February 2015): 215–37. http://dx.doi.org/10.1214/14-aos1274.
Повний текст джерелаHu, Jianwei, Hong Qin, Ting Yan, and Yunpeng Zhao. "Corrected Bayesian Information Criterion for Stochastic Block Models." Journal of the American Statistical Association 115, no. 532 (August 14, 2019): 1771–83. http://dx.doi.org/10.1080/01621459.2019.1637744.
Повний текст джерелаBoyd, Zachary M., Mason A. Porter, and Andrea L. Bertozzi. "Stochastic Block Models are a Discrete Surface Tension." Journal of Nonlinear Science 30, no. 5 (April 22, 2019): 2429–62. http://dx.doi.org/10.1007/s00332-019-09541-8.
Повний текст джерелаBaek, Mina, and Choongrak Kim. "A review on spectral clustering and stochastic block models." Journal of the Korean Statistical Society 50, no. 3 (March 10, 2021): 818–31. http://dx.doi.org/10.1007/s42952-021-00112-w.
Повний текст джерелаSu, Liangjun, Wuyi Wang, and Yichong Zhang. "Strong Consistency of Spectral Clustering for Stochastic Block Models." IEEE Transactions on Information Theory 66, no. 1 (January 2020): 324–38. http://dx.doi.org/10.1109/tit.2019.2934157.
Повний текст джерелаStegehuis, Clara, and Laurent Massoulie. "Efficient Inference in Stochastic Block Models With Vertex Labels." IEEE Transactions on Network Science and Engineering 7, no. 3 (July 1, 2020): 1215–25. http://dx.doi.org/10.1109/tnse.2019.2913949.
Повний текст джерелаChen, Yudong, Xiaodong Li, and Jiaming Xu. "Convexified modularity maximization for degree-corrected stochastic block models." Annals of Statistics 46, no. 4 (August 2018): 1573–602. http://dx.doi.org/10.1214/17-aos1595.
Повний текст джерелаZhang, Xue, Xiaojie Wang, Chengli Zhao, Dongyun Yi, and Zheng Xie. "Degree-corrected stochastic block models and reliability in networks." Physica A: Statistical Mechanics and its Applications 393 (January 2014): 553–59. http://dx.doi.org/10.1016/j.physa.2013.08.061.
Повний текст джерелаLei, Jing. "A goodness-of-fit test for stochastic block models." Annals of Statistics 44, no. 1 (February 2016): 401–24. http://dx.doi.org/10.1214/15-aos1370.
Повний текст джерелаZhang, Anderson Y., and Harrison H. Zhou. "Minimax rates of community detection in stochastic block models." Annals of Statistics 44, no. 5 (October 2016): 2252–80. http://dx.doi.org/10.1214/15-aos1428.
Повний текст джерелаSchaub, Michael T., Santiago Segarra, and John N. Tsitsiklis. "Blind Identification of Stochastic Block Models from Dynamical Observations." SIAM Journal on Mathematics of Data Science 2, no. 2 (January 2020): 335–67. http://dx.doi.org/10.1137/19m1263340.
Повний текст джерелаQiao, Maoying, Jun Yu, Wei Bian, Qiang Li, and Dacheng Tao. "Adapting Stochastic Block Models to Power-Law Degree Distributions." IEEE Transactions on Cybernetics 49, no. 2 (February 2019): 626–37. http://dx.doi.org/10.1109/tcyb.2017.2783325.
Повний текст джерелаTabouy, Timothée, Pierre Barbillon, and Julien Chiquet. "Variational Inference for Stochastic Block Models From Sampled Data." Journal of the American Statistical Association 115, no. 529 (April 11, 2019): 455–66. http://dx.doi.org/10.1080/01621459.2018.1562934.
Повний текст джерелаBarucca, P., F. Lillo, P. Mazzarisi, and D. Tantari. "Disentangling group and link persistence in dynamic stochastic block models." Journal of Statistical Mechanics: Theory and Experiment 2018, no. 12 (December 21, 2018): 123407. http://dx.doi.org/10.1088/1742-5468/aaeb44.
Повний текст джерелаEldan, Ronen, and Renan Gross. "Exponential random graphs behave like mixtures of stochastic block models." Annals of Applied Probability 28, no. 6 (December 2018): 3698–735. http://dx.doi.org/10.1214/18-aap1402.
Повний текст джерелаFunke, Thorben, and Till Becker. "Forecasting Changes in Material Flow Networks with Stochastic Block Models." Procedia CIRP 81 (2019): 1183–88. http://dx.doi.org/10.1016/j.procir.2019.03.289.
Повний текст джерелаFunke, Thorben, and Till Becker. "Stochastic block models: A comparison of variants and inference methods." PLOS ONE 14, no. 4 (April 23, 2019): e0215296. http://dx.doi.org/10.1371/journal.pone.0215296.
Повний текст джерелаLatouche, P., E. Birmelé, and C. Ambroise. "Variational Bayesian inference and complexity control for stochastic block models." Statistical Modelling: An International Journal 12, no. 1 (February 2012): 93–115. http://dx.doi.org/10.1177/1471082x1001200105.
Повний текст джерелаPamfil, A. Roxana, Sam D. Howison, Renaud Lambiotte, and Mason A. Porter. "Relating Modularity Maximization and Stochastic Block Models in Multilayer Networks." SIAM Journal on Mathematics of Data Science 1, no. 4 (January 2019): 667–98. http://dx.doi.org/10.1137/18m1231304.
Повний текст джерелаGNOATTO, ALESSANDRO. "COHERENT FOREIGN EXCHANGE MARKET MODELS." International Journal of Theoretical and Applied Finance 20, no. 01 (February 2017): 1750007. http://dx.doi.org/10.1142/s0219024917500078.
Повний текст джерелаGölbaşı, Onur, and Nuray Demirel. "Stochastic Models in Preventive Maintenance Policies." Advanced Materials Research 1016 (August 2014): 802–6. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.802.
Повний текст джерелаFasino, Dario, and Francesco Tudisco. "The expected adjacency and modularity matrices in the degree corrected stochastic block model." Special Matrices 6, no. 1 (March 7, 2018): 110–21. http://dx.doi.org/10.1515/spma-2018-0010.
Повний текст джерелаHwang, Jong Yun, Ji Oon Lee, and Wooseok Yang. "Local law and Tracy–Widom limit for sparse stochastic block models." Bernoulli 26, no. 3 (August 2020): 2400–2435. http://dx.doi.org/10.3150/20-bej1201.
Повний текст джерелаZhang, Pan, Florent Krzakala, Jörg Reichardt, and Lenka Zdeborová. "Comparative study for inference of hidden classes in stochastic block models." Journal of Statistical Mechanics: Theory and Experiment 2012, no. 12 (December 20, 2012): P12021. http://dx.doi.org/10.1088/1742-5468/2012/12/p12021.
Повний текст джерелаAsai, Manabu, Massimiliano Caporin, and Michael McAleer. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models." International Review of Economics & Finance 40 (November 2015): 40–50. http://dx.doi.org/10.1016/j.iref.2015.02.004.
Повний текст джерелаGodoy-Lorite, Antonia, Roger Guimerà, Cristopher Moore, and Marta Sales-Pardo. "Accurate and scalable social recommendation using mixed-membership stochastic block models." Proceedings of the National Academy of Sciences 113, no. 50 (November 23, 2016): 14207–12. http://dx.doi.org/10.1073/pnas.1606316113.
Повний текст джерелаLatouche, Pierre, Etienne Birmelé, and Christophe Ambroise. "Overlapping stochastic block models with application to the French political blogosphere." Annals of Applied Statistics 5, no. 1 (March 2011): 309–36. http://dx.doi.org/10.1214/10-aoas382.
Повний текст джерелаMenzio, Guido, and Shouyong Shi. "Block recursive equilibria for stochastic models of search on the job." Journal of Economic Theory 145, no. 4 (July 2010): 1453–94. http://dx.doi.org/10.1016/j.jet.2009.10.016.
Повний текст джерелаOmori, Yasuhiro, and Toshiaki Watanabe. "Block sampler and posterior mode estimation for asymmetric stochastic volatility models." Computational Statistics & Data Analysis 52, no. 6 (February 2008): 2892–910. http://dx.doi.org/10.1016/j.csda.2007.09.001.
Повний текст джерелаBolla, Marianna, and Ahmed Elbanna. "Estimating Parameters of a Probabilistic Heterogeneous Block Model via the EM Algorithm." Journal of Probability and Statistics 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/657965.
Повний текст джерелаNapoli, M. L., M. Barbero, D. Minuto, L. Morandi, and H. Ullah. "The relict landslide in bimsoils in downtown Genova, Italy: a new modeling approach." IOP Conference Series: Earth and Environmental Science 1124, no. 1 (January 1, 2023): 012124. http://dx.doi.org/10.1088/1755-1315/1124/1/012124.
Повний текст джерелаMaleki, Mohammad, Enrique Jélvez, Xavier Emery, and Nelson Morales. "Stochastic Open-Pit Mine Production Scheduling: A Case Study of an Iron Deposit." Minerals 10, no. 7 (June 29, 2020): 585. http://dx.doi.org/10.3390/min10070585.
Повний текст джерелаGulikers, Lennart, Marc Lelarge, and Laurent Massoulié. "A spectral method for community detection in moderately sparse degree-corrected stochastic block models." Advances in Applied Probability 49, no. 3 (September 2017): 686–721. http://dx.doi.org/10.1017/apr.2017.18.
Повний текст джерелаMariadassou, Mahendra, and Catherine Matias. "Convergence of the groups posterior distribution in latent or stochastic block models." Bernoulli 21, no. 1 (February 2015): 537–73. http://dx.doi.org/10.3150/13-bej579.
Повний текст джерелаYuan, Mingao, Yang Feng, and Zuofeng Shang. "A likelihood-ratio type test for stochastic block models with bounded degrees." Journal of Statistical Planning and Inference 219 (July 2022): 98–119. http://dx.doi.org/10.1016/j.jspi.2021.12.005.
Повний текст джерелаPeng, Chengbin, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, and David E. Keyes. "A scalable community detection algorithm for large graphs using stochastic block models." Intelligent Data Analysis 21, no. 6 (November 15, 2017): 1463–85. http://dx.doi.org/10.3233/ida-163156.
Повний текст джерелаPeng, Chengbin, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, and David E. Keyes. "A scalable community detection algorithm for large graphs using stochastic block models." Intelligent Data Analysis 22, no. 1 (February 22, 2018): 239. http://dx.doi.org/10.3233/ida-179999.
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