Artículos de revistas sobre el tema "Regression Monte-Carlo scheme"
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Izydorczyk, Lucas, Nadia Oudjane y Francesco Russo. "A fully backward representation of semilinear PDEs applied to the control of thermostatic loads in power systems". Monte Carlo Methods and Applications 27, n.º 4 (21 de octubre de 2021): 347–71. http://dx.doi.org/10.1515/mcma-2021-2095.
Texto completoFolashade Adeola Bolarinwa, Olusola Samuel Makinde y Olusoga Akin Fasoranbaku. "A new Bayesian ridge estimator for logistic regression in the presence of multicollinearity". World Journal of Advanced Research and Reviews 20, n.º 3 (30 de diciembre de 2023): 458–65. http://dx.doi.org/10.30574/wjarr.2023.20.3.2415.
Texto completoGobet, E., J. G. López-Salas, P. Turkedjiev y C. Vázquez. "Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs". SIAM Journal on Scientific Computing 38, n.º 6 (enero de 2016): C652—C677. http://dx.doi.org/10.1137/16m106371x.
Texto completoTrinchero, Riccardo y Flavio Canavero. "Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices". Engineering Proceedings 3, n.º 1 (30 de octubre de 2020): 3. http://dx.doi.org/10.3390/iec2020-06967.
Texto completoGobet, Emmanuel, José Germán López-Salas y Carlos Vázquez. "Quasi-Regression Monte-Carlo Scheme for Semi-Linear PDEs and BSDEs with Large Scale Parallelization on GPUs". Archives of Computational Methods in Engineering 27, n.º 3 (4 de abril de 2019): 889–921. http://dx.doi.org/10.1007/s11831-019-09335-x.
Texto completoKhan, Sajid Ali, Sayyad Khurshid, Shabnam Arshad y Owais Mushtaq. "Bias Estimation of Linear Regression Model with Autoregressive Scheme using Simulation Study". Journal of Mathematical Analysis and Modeling 2, n.º 1 (29 de marzo de 2021): 26–39. http://dx.doi.org/10.48185/jmam.v2i1.131.
Texto completoWang, Han, Lingwei Xu y Xianpeng Wang. "Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network". Sensors 19, n.º 21 (4 de noviembre de 2019): 4789. http://dx.doi.org/10.3390/s19214789.
Texto completoSeo, Jung-In, Young Eun Jeon y Suk-Bok Kang. "New Approach for a Weibull Distribution under the Progressive Type-II Censoring Scheme". Mathematics 8, n.º 10 (5 de octubre de 2020): 1713. http://dx.doi.org/10.3390/math8101713.
Texto completoMORALES, MARÍA, CARMELO RODRÍGUEZ y ANTONIO SALMERÓN. "SELECTIVE NAIVE BAYES FOR REGRESSION BASED ON MIXTURES OF TRUNCATED EXPONENTIALS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, n.º 06 (diciembre de 2007): 697–716. http://dx.doi.org/10.1142/s0218488507004959.
Texto completoMa, Zhi-Sai, Li Liu, Si-Da Zhou y Lei Yu. "Output-Only Modal Parameter Recursive Estimation of Time-Varying Structures via a Kernel Ridge Regression FS-TARMA Approach". Shock and Vibration 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/8176593.
Texto completoJiang, Nan y Yexiang Xue. "Racing Control Variable Genetic Programming for Symbolic Regression". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 11 (24 de marzo de 2024): 12901–9. http://dx.doi.org/10.1609/aaai.v38i11.29187.
Texto completoWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc y Yiyan Wu. "Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion". International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/891932.
Texto completoJung, Jihyeok, Chan-Oi Song, Deok-Joo Lee y Kiho Yoon. "Optimal Mechanism in a Dynamic Stochastic Knapsack Environment". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 9 (24 de marzo de 2024): 9807–14. http://dx.doi.org/10.1609/aaai.v38i9.28840.
Texto completoZhang, Yichi, Yangyao Ding y Panagiotis D. Christofides. "Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films". Processes 8, n.º 1 (21 de diciembre de 2019): 18. http://dx.doi.org/10.3390/pr8010018.
Texto completoWang, Tianhao, Quanyi Yu, Xianli Yu, Le Gao y Huanyu Zhao. "Radiated Susceptibility Analysis of Multiconductor Transmission Lines Based on Polynomial Chaos". Applied Computational Electromagnetics Society 35, n.º 12 (15 de febrero de 2021): 1556–66. http://dx.doi.org/10.47037/2020.aces.j.351215.
Texto completoGomes, Véronique, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira y Pedro Melo-Pinto. "Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods". Applied Sciences 11, n.º 21 (3 de noviembre de 2021): 10319. http://dx.doi.org/10.3390/app112110319.
Texto completoIbrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah y Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data". Statistical Methods in Medical Research 28, n.º 10-11 (12 de octubre de 2018): 3415–36. http://dx.doi.org/10.1177/0962280218801147.
Texto completoShahzad, Usman, Ishfaq Ahmad, Ibrahim Mufrah Almanjahie y Amer Ibrahim Al-Omari. "Three-fold utilization of supplementary information for mean estimation under median ranked set sampling scheme". PLOS ONE 17, n.º 10 (24 de octubre de 2022): e0276514. http://dx.doi.org/10.1371/journal.pone.0276514.
Texto completoLiu, Manhua, Yangyang Wang, Yueping Jiang, Haitao Liu, Jingjing Chen y Shao Liu. "Quantitation of Oxcarbazepine Clinically in Plasma Using Surfaced-Enhanced Raman Spectroscopy (SERS) Coupled with Chemometrics". Applied Spectroscopy 73, n.º 7 (21 de mayo de 2019): 801–9. http://dx.doi.org/10.1177/0003702819845389.
Texto completoVirtanen, Arja, Veli Kairisto y Esa Uusipaikka. "Regression-based reference limits: determination of sufficient sample size". Clinical Chemistry 44, n.º 11 (1 de noviembre de 1998): 2353–58. http://dx.doi.org/10.1093/clinchem/44.11.2353.
Texto completoLiang, Xitong, Samuel Livingstone y Jim Griffin. "Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models". Entropy 25, n.º 9 (8 de septiembre de 2023): 1310. http://dx.doi.org/10.3390/e25091310.
Texto completoGao, Yuanyuan, Na Liu, Peng Liu y Chengnuo Wang. "Prediction of stamping parameters for imitation π-shaped lithium battery shells by building variable weight and threshold pelican-BP neural networks". Advances in Mechanical Engineering 14, n.º 9 (septiembre de 2022): 168781322211122. http://dx.doi.org/10.1177/16878132221112203.
Texto completoLa Rocca, Michele y Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, n.º 2 (25 de abril de 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Texto completoLa Rocca, Michele y Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, n.º 2 (25 de abril de 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Texto completoFaristasari, Selvi y Adhitya Ronnie Effendie. "Application of Simulated Annealing Method on Tabarru-Fund Valuation using Inflator by Vasicek Model Approach Based on Profit and Loss Sharing Scheme". Indonesian Journal of Mathematics and Applications 1, n.º 1 (27 de marzo de 2023): 24–36. http://dx.doi.org/10.21776/ub.ijma.2023.001.01.4.
Texto completoHabeck, Christian, Qolamreza Razlighi y Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation". PLOS ONE 16, n.º 4 (8 de abril de 2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Texto completoGianola, Daniel y Rohan L. Fernando. "A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits". Genetics 214, n.º 2 (26 de diciembre de 2019): 305–31. http://dx.doi.org/10.1534/genetics.119.302934.
Texto completoPrasanna, K., Mudassir Khan, Saeed M. Alshahrani, Ajmeera Kiran, P. Phanindra Kumar Reddy, Mofadal Alymani y J. Chinna Babu. "Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments". Applied Sciences 13, n.º 14 (8 de julio de 2023): 8004. http://dx.doi.org/10.3390/app13148004.
Texto completoKalinina, Irina A. y Aleksandr P. Gozhyj. "Modeling and forecasting of nonlinear nonstationary processes based on the Bayesian structural time series". Applied Aspects of Information Technology 5, n.º 3 (25 de octubre de 2022): 240–55. http://dx.doi.org/10.15276/aait.05.2022.17.
Texto completoBarrera, David, Stéphane Crépey, Babacar Diallo, Gersende Fort, Emmanuel Gobet y Uladzislau Stazhynski. "Stochastic approximation schemes for economic capital and risk margin computations". ESAIM: Proceedings and Surveys 65 (2019): 182–218. http://dx.doi.org/10.1051/proc/201965182.
Texto completoYEASIN, M., K. N. SINGH, A. LAMA y B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, n.º 4 (1 de noviembre de 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.3542.
Texto completoYEASIN, M., K. N. SINGH, A. LAMA y B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, n.º 4 (10 de noviembre de 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.670.
Texto completoLiu, Qian, Xufang Zhang y Xianzhen Huang. "A sparse surrogate model for structural reliability analysis based on the generalized polynomial chaos expansion". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, n.º 3 (8 de octubre de 2018): 487–502. http://dx.doi.org/10.1177/1748006x18804047.
Texto completoRamnath, Vishal. "Comparison of straight line curve fit approaches for determining parameter variances and covariances". International Journal of Metrology and Quality Engineering 11 (2020): 14. http://dx.doi.org/10.1051/ijmqe/2020011.
Texto completoZhang, Qi, Yihui Zhang y Yemao Xia. "Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations". Mathematics 12, n.º 5 (6 de marzo de 2024): 783. http://dx.doi.org/10.3390/math12050783.
Texto completoMandallaz, Daniel, Jochen Breschan y Andreas Hill. "New regression estimators in forest inventories with two-phase sampling and partially exhaustive information: a design-based Monte Carlo approach with applications to small-area estimation". Canadian Journal of Forest Research 43, n.º 11 (noviembre de 2013): 1023–31. http://dx.doi.org/10.1139/cjfr-2013-0181.
Texto completoNabeel, Moezza, Sajid Ali, Ismail Shah, Mohammed M. A. Almazah y Fuad S. Al-Duais. "Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data". Mathematics 11, n.º 11 (28 de mayo de 2023): 2480. http://dx.doi.org/10.3390/math11112480.
Texto completoPooley, C. M. y G. Marion. "Bayesian model evidence as a practical alternative to deviance information criterion". Royal Society Open Science 5, n.º 3 (marzo de 2018): 171519. http://dx.doi.org/10.1098/rsos.171519.
Texto completoButyrkin, A. Ya, V. A. Gelis y E. B. Kulikova. "Features of application of progressive methods of predictive modeling for solving problems on transport". Herald of the Ural State University of Railway Transport, n.º 4 (2021): 68–78. http://dx.doi.org/10.20291/2079-0392-2021-4-68-78.
Texto completoSilalahi, Divo Dharma, Habshah Midi, Jayanthi Arasan, Mohd Shafie Mustafa y Jean-Pierre Caliman. "Automated Fitting Process Using Robust Reliable Weighted Average on Near Infrared Spectral Data Analysis". Symmetry 12, n.º 12 (17 de diciembre de 2020): 2099. http://dx.doi.org/10.3390/sym12122099.
Texto completoNaz, Aqdas, Muhammad Javed, Nadeem Javaid, Tanzila Saba, Musaed Alhussein y Khursheed Aurangzeb. "Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids". Energies 12, n.º 5 (5 de marzo de 2019): 866. http://dx.doi.org/10.3390/en12050866.
Texto completoKadarmideen, H. N., R. Rekaya y D. Gianola. "Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian analysis". Animal Science 73, n.º 2 (octubre de 2001): 229–40. http://dx.doi.org/10.1017/s1357729800058203.
Texto completoLi, Xiaofei, Yi Wu, Quanxin Zhu, Songbo Hu y Chuan Qin. "A regression-based Monte Carlo method to solve two-dimensional forward backward stochastic differential equations". Advances in Difference Equations 2021, n.º 1 (16 de abril de 2021). http://dx.doi.org/10.1186/s13662-021-03361-5.
Texto completoDe Bortoli, Valentin, Alain Durmus, Marcelo Pereyra y Ana F. Vidal. "Efficient stochastic optimisation by unadjusted Langevin Monte Carlo". Statistics and Computing 31, n.º 3 (19 de marzo de 2021). http://dx.doi.org/10.1007/s11222-020-09986-y.
Texto completoRiebl, Hannes, Nadja Klein y Thomas Kneib. "Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses". Journal of the Royal Statistical Society Series C: Applied Statistics, 22 de marzo de 2023. http://dx.doi.org/10.1093/jrsssc/qlad015.
Texto completoKhan, Sajid Ali, Sayyad Khurshid, Tooba Akhtar y Kashmala Khurshid. "Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme". Qubahan Academic Journal 1, n.º 1 (15 de febrero de 2021). http://dx.doi.org/10.48161/qaj.v1n1a22.
Texto completoZhu, Yu, Yinhao Wang, Quanyi Yu, Dayong Wu, Yang Zhang y Tong Zhang. "Uncertainty Quantification and Global Sensitivity Analysis of Radiated Susceptibility in Multiconductor Transmission Lines using Adaptive Sparse Polynomial Chaos Expansions". Applied Computational Electromagnetics Society Journal (ACES), 23 de noviembre de 2021. http://dx.doi.org/10.13052/2021.aces.j.361004.
Texto completoLa Rocca, Michele, Marcella Niglio y Marialuisa Restaino. "Bootstrapping binary GEV regressions for imbalanced datasets". Computational Statistics, 4 de febrero de 2023. http://dx.doi.org/10.1007/s00180-023-01330-y.
Texto completoAßmann, Christian, Jean-Christoph Gaasch y Doris Stingl. "A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models". Psychometrika, 23 de noviembre de 2022. http://dx.doi.org/10.1007/s11336-022-09888-0.
Texto completoWashaya, S., B. Masunda y N. T. Ngongoni. "Impact and adoption of feed technologies at Nharira-Lancashire Dairy Scheme". Journal of Applied Animal Nutrition, 26 de marzo de 2024, 1–8. http://dx.doi.org/10.1163/2049257x-20231002.
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