Artículos de revistas sobre el tema "Robbins-Monro algorithm"
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Moler, José A., Fernando Plo y Miguel San Miguel. "Adaptive designs and Robbins–Monro algorithm". Journal of Statistical Planning and Inference 131, n.º 1 (abril de 2005): 161–74. http://dx.doi.org/10.1016/j.jspi.2003.12.018.
Texto completoWardi, Y. "On a proof of a Robbins-Monro algorithm". Journal of Optimization Theory and Applications 64, n.º 1 (enero de 1990): 217. http://dx.doi.org/10.1007/bf00940033.
Texto completoLin, Siming y Jennie Si. "Weight-Value Convergence of the SOM Algorithm for Discrete Input". Neural Computation 10, n.º 4 (1 de mayo de 1998): 807–14. http://dx.doi.org/10.1162/089976698300017485.
Texto completoMoser, Barry Kurt y Melinda H. McCann. "Algorithm AS 316: A Robbins-Monro-based Sequential Procedure". Journal of the Royal Statistical Society: Series C (Applied Statistics) 46, n.º 3 (1997): 388–99. http://dx.doi.org/10.1111/1467-9876.00078.
Texto completoEl Moumen, AbdelKader, Salim Benslimane y Samir Rahmani. "Robbins–Monro Algorithm with $$\boldsymbol{\psi}$$-Mixing Random Errors". Mathematical Methods of Statistics 31, n.º 3 (septiembre de 2022): 105–19. http://dx.doi.org/10.3103/s1066530722030024.
Texto completoXU, ZI, YINGYING LI y XINGFANG ZHAO. "SIMULATION-BASED OPTIMIZATION BY NEW STOCHASTIC APPROXIMATION ALGORITHM". Asia-Pacific Journal of Operational Research 31, n.º 04 (agosto de 2014): 1450026. http://dx.doi.org/10.1142/s0217595914500262.
Texto completoCai, Li. "Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis". Journal of Educational and Behavioral Statistics 35, n.º 3 (junio de 2010): 307–35. http://dx.doi.org/10.3102/1076998609353115.
Texto completoChen, Han-Fu. "Stochastic approximation with non-additive measurement noise". Journal of Applied Probability 35, n.º 2 (junio de 1998): 407–17. http://dx.doi.org/10.1239/jap/1032192856.
Texto completoChen, Han-Fu. "Stochastic approximation with non-additive measurement noise". Journal of Applied Probability 35, n.º 02 (junio de 1998): 407–17. http://dx.doi.org/10.1017/s0021900200015035.
Texto completoBuckland, S. T. y P. H. Garthwaite. "Algorithm AS 259: Estimating Confidence Intervals by the Robbins-Monro Search Process". Applied Statistics 39, n.º 3 (1990): 413. http://dx.doi.org/10.2307/2347401.
Texto completoQi, Anna, Lihua Yang y Chao Huang. "Convergence of Markovian stochastic approximation for Markov random fields with hidden variables". Stochastics and Dynamics 20, n.º 05 (18 de noviembre de 2019): 2050029. http://dx.doi.org/10.1142/s021949372050029x.
Texto completoBarczy, Mátyás, Ábris Nagy, Csaba Noszály y Csaba Vincze. "A Robbins–Monro-type algorithm for computing global minimizer of generalized conic functions". Optimization 64, n.º 9 (19 de mayo de 2014): 1999–2020. http://dx.doi.org/10.1080/02331934.2014.919499.
Texto completoChen, Han-Fu, Lei Guo y Ai-Jun Gao. "Convergence and robustness of the Robbins-Monro algorithm truncated at randomly varying bounds". Stochastic Processes and their Applications 27 (1987): 217–31. http://dx.doi.org/10.1016/0304-4149(87)90039-1.
Texto completoCai, Li. "High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm". Psychometrika 75, n.º 1 (28 de julio de 2009): 33–57. http://dx.doi.org/10.1007/s11336-009-9136-x.
Texto completoGahbiche, Mouna y Mariane Pelletier. "On the estimation of the asymptotic covariance matrix for the averaged Robbins–Monro algorithm". Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 331, n.º 3 (agosto de 2000): 255–60. http://dx.doi.org/10.1016/s0764-4442(00)01595-0.
Texto completoLiu, Chen-Wei, Björn Andersson y Anders Skrondal. "A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models". Psychometrika 85, n.º 2 (junio de 2020): 322–57. http://dx.doi.org/10.1007/s11336-020-09707-4.
Texto completoKrasulina, T. P. y Yu O. Yatel. "A probability estimate for not exceeding the unknown threshold by the Robbins-Monro algorithm". Automation and Remote Control 66, n.º 3 (marzo de 2005): 422–26. http://dx.doi.org/10.1007/s10513-005-0071-8.
Texto completoZhao, Wenxiao. "An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations". Algorithms 14, n.º 6 (31 de mayo de 2021): 174. http://dx.doi.org/10.3390/a14060174.
Texto completoHeidergott, Bernd. "A weak derivative approach to optimization of threshold parameters in a multicomponent maintenance system". Journal of Applied Probability 38, n.º 2 (junio de 2001): 386–406. http://dx.doi.org/10.1239/jap/996986751.
Texto completoHeidergott, Bernd. "A weak derivative approach to optimization of threshold parameters in a multicomponent maintenance system". Journal of Applied Probability 38, n.º 02 (junio de 2001): 386–406. http://dx.doi.org/10.1017/s0021900200019926.
Texto completoFermin, Lisandro Javier, Ricardo Rios y Luis Angel Rodriguez. "A Robbins-Monro Algorithm for Non-Parametric Estimation of NAR Process with Markov Switching: Consistency". Journal of Time Series Analysis 38, n.º 6 (20 de abril de 2017): 809–37. http://dx.doi.org/10.1111/jtsa.12237.
Texto completoGodichon-Baggioni, Antoine y Bruno Portier. "An averaged projected Robbins-Monro algorithm for estimating the parameters of a truncated spherical distribution". Electronic Journal of Statistics 11, n.º 1 (2017): 1890–927. http://dx.doi.org/10.1214/17-ejs1276.
Texto completoMonroe, Scott y Li Cai. "Estimation of a Ramsay-Curve Item Response Theory Model by the Metropolis–Hastings Robbins–Monro Algorithm". Educational and Psychological Measurement 74, n.º 2 (3 de septiembre de 2013): 343–69. http://dx.doi.org/10.1177/0013164413499344.
Texto completoMontes, Francisco y Jorge Mateu. "On the MLE for a spatial point pattern". Advances in Applied Probability 28, n.º 2 (junio de 1996): 339. http://dx.doi.org/10.1017/s0001867800048382.
Texto completoSlaoui, Y. y A. Jmaei. "Recursive and non-recursive regression estimators using Bernstein polynomials". Theory of Stochastic Processes 26(42), n.º 1 (27 de diciembre de 2022): 60–95. http://dx.doi.org/10.37863/tsp-2899660400-77.
Texto completoYang, Ji Seung y Li Cai. "Estimation of Contextual Effects Through Nonlinear Multilevel Latent Variable Modeling With a Metropolis–Hastings Robbins–Monro Algorithm". Journal of Educational and Behavioral Statistics 39, n.º 6 (diciembre de 2014): 550–82. http://dx.doi.org/10.3102/1076998614559972.
Texto completoBashkov, Bozhidar M. y Christine E. DeMars. "Examining the Performance of the Metropolis–Hastings Robbins–Monro Algorithm in the Estimation of Multilevel Multidimensional IRT Models". Applied Psychological Measurement 41, n.º 5 (1 de febrero de 2017): 323–37. http://dx.doi.org/10.1177/0146621616688923.
Texto completoFindley, David F. "Convergence of a Robbins-Monro Algorithm for Recursive Estimation with Non-Monotone Weights for a Function with a Restricted Domain and Multiple Zeros". Calcutta Statistical Association Bulletin 56, n.º 1-4 (marzo de 2005): 1–15. http://dx.doi.org/10.1177/0008068320050501.
Texto completoLi, Menglin, Xueqiang Gu, Chengyi Zeng y Yuan Feng. "Feasibility Analysis and Application of Reinforcement Learning Algorithm Based on Dynamic Parameter Adjustment". Algorithms 13, n.º 9 (22 de septiembre de 2020): 239. http://dx.doi.org/10.3390/a13090239.
Texto completoArouna, Bouhari. "Robbins–Monro algorithms and variance reduction in finance". Journal of Computational Finance 7, n.º 2 (2003): 35–61. http://dx.doi.org/10.21314/jcf.2003.111.
Texto completoGarthwaite, P. H., Y. Fan y S. A. Sisson. "Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process". Communications in Statistics - Theory and Methods 45, n.º 17 (5 de julio de 2016): 5098–111. http://dx.doi.org/10.1080/03610926.2014.936562.
Texto completoQian-Yu Tang, Han-Fu Chen y Zeng-Jin Han. "Convergence rates of perturbation-analysis-Robbins-Monro-single-run algorithms for single server queues". IEEE Transactions on Automatic Control 42, n.º 10 (1997): 1442–47. http://dx.doi.org/10.1109/9.633835.
Texto completoDereich, Steffen y Thomas Müller-Gronbach. "General multilevel adaptations for stochastic approximation algorithms of Robbins–Monro and Polyak–Ruppert type". Numerische Mathematik 142, n.º 2 (6 de febrero de 2019): 279–328. http://dx.doi.org/10.1007/s00211-019-01024-y.
Texto completoLambrou, George I., Kyriaki Hatziagapiou, Petros Toumpaniaris, Penelope Ioannidou y Dimitrios Koutsouris. "Computational Modelling in Epidemiological Dispersion Using Diffusion and Epidemiological Equations". International Journal of Reliable and Quality E-Healthcare 8, n.º 4 (octubre de 2019): 1–37. http://dx.doi.org/10.4018/ijrqeh.2019100101.
Texto completoLiu, Chen-Wei. "Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models". Applied Psychological Measurement, 8 de septiembre de 2022, 014662162211239. http://dx.doi.org/10.1177/01466216221123981.
Texto completoLin, Xiaofan, Siliang Zhang, Yincai Tang y Xuan Li. "A Gibbs‐INLA algorithm for multidimensional graded response model analysis". British Journal of Mathematical and Statistical Psychology, 29 de septiembre de 2023. http://dx.doi.org/10.1111/bmsp.12321.
Texto completoLiu, Chen-Wei, Björn Andersson y Anders Skrondal. "Erratum: A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models". Psychometrika, 16 de mayo de 2024. http://dx.doi.org/10.1007/s11336-024-09974-5.
Texto completoGodichon-Baggioni, Antoine, Nicklas Werge y Olivier Wintenberger. "Non-asymptotic analysis of stochastic approximation algorithms for streaming data". ESAIM: Probability and Statistics, 6 de marzo de 2023. http://dx.doi.org/10.1051/ps/2023006.
Texto completoLiu, Tianci, Chun Wang y Gongjun Xu. "Estimating three- and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder". Frontiers in Psychology 13 (15 de agosto de 2022). http://dx.doi.org/10.3389/fpsyg.2022.935419.
Texto completoHuang, Sijia, Jinwen (Jevan) Luo y Li Cai. "An Explanatory Multidimensional Random Item Effects Rating Scale Model". Educational and Psychological Measurement, 13 de diciembre de 2022, 001316442211409. http://dx.doi.org/10.1177/00131644221140906.
Texto completoHuang, Sijia y Li Cai. "Cross-Classified Item Response Theory Modeling With an Application to Student Evaluation of Teaching". Journal of Educational and Behavioral Statistics, 24 de agosto de 2023. http://dx.doi.org/10.3102/10769986231193351.
Texto completoAmini Tehrani, Hamed, Ali Bakhshi y Tony T. Y. Yang. "Online jointly estimation of hysteretic structures using the combination of central difference Kalman filter and Robbins–Monro technique". Journal of Vibration and Control, 12 de mayo de 2020, 107754632092560. http://dx.doi.org/10.1177/1077546320925604.
Texto completoHuang, Sijia y Dubravka Svetina Valdivia. "Wald χ2 Test for Differential Item Functioning Detection with Polytomous Items in Multilevel Data". Educational and Psychological Measurement, 11 de julio de 2023. http://dx.doi.org/10.1177/00131644231181688.
Texto completoHuang, Sijia, Seungwon Chung y Carl F. Falk. "Modeling Response Styles in Cross‐Classified Data Using a Cross‐Classified Multidimensional Nominal Response Model". Journal of Educational Measurement, 31 de mayo de 2024. http://dx.doi.org/10.1111/jedm.12401.
Texto completoChung, Seungwon y Li Cai. "Cross-Classified Random Effects Modeling for Moderated Item Calibration". Journal of Educational and Behavioral Statistics, 12 de enero de 2021, 107699862098390. http://dx.doi.org/10.3102/1076998620983908.
Texto completoWang, Xue, Jing Lu y Jiwei Zhang. "A Metropolis–Hastings Robbins–Monro algorithm via variational inference for estimating the multidimensional graded response model: a calculationally efficient estimation scheme to deal with complex test structures". Computational Statistics, 29 de julio de 2024. http://dx.doi.org/10.1007/s00180-024-01533-x.
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