Articoli di riviste sul tema "Regression Monte-Carlo scheme"
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Izydorczyk, Lucas, Nadia Oudjane e 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. 4 (21 ottobre 2021): 347–71. http://dx.doi.org/10.1515/mcma-2021-2095.
Testo completoFolashade Adeola Bolarinwa, Olusola Samuel Makinde e 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. 3 (30 dicembre 2023): 458–65. http://dx.doi.org/10.30574/wjarr.2023.20.3.2415.
Testo completoGobet, E., J. G. López-Salas, P. Turkedjiev e 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. 6 (gennaio 2016): C652—C677. http://dx.doi.org/10.1137/16m106371x.
Testo completoTrinchero, Riccardo, e Flavio Canavero. "Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices". Engineering Proceedings 3, n. 1 (30 ottobre 2020): 3. http://dx.doi.org/10.3390/iec2020-06967.
Testo completoGobet, Emmanuel, José Germán López-Salas e 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. 3 (4 aprile 2019): 889–921. http://dx.doi.org/10.1007/s11831-019-09335-x.
Testo completoKhan, Sajid Ali, Sayyad Khurshid, Shabnam Arshad e Owais Mushtaq. "Bias Estimation of Linear Regression Model with Autoregressive Scheme using Simulation Study". Journal of Mathematical Analysis and Modeling 2, n. 1 (29 marzo 2021): 26–39. http://dx.doi.org/10.48185/jmam.v2i1.131.
Testo completoWang, Han, Lingwei Xu e Xianpeng Wang. "Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network". Sensors 19, n. 21 (4 novembre 2019): 4789. http://dx.doi.org/10.3390/s19214789.
Testo completoSeo, Jung-In, Young Eun Jeon e Suk-Bok Kang. "New Approach for a Weibull Distribution under the Progressive Type-II Censoring Scheme". Mathematics 8, n. 10 (5 ottobre 2020): 1713. http://dx.doi.org/10.3390/math8101713.
Testo completoMORALES, MARÍA, CARMELO RODRÍGUEZ e ANTONIO SALMERÓN. "SELECTIVE NAIVE BAYES FOR REGRESSION BASED ON MIXTURES OF TRUNCATED EXPONENTIALS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, n. 06 (dicembre 2007): 697–716. http://dx.doi.org/10.1142/s0218488507004959.
Testo completoMa, Zhi-Sai, Li Liu, Si-Da Zhou e 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.
Testo completoJiang, Nan, e Yexiang Xue. "Racing Control Variable Genetic Programming for Symbolic Regression". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 11 (24 marzo 2024): 12901–9. http://dx.doi.org/10.1609/aaai.v38i11.29187.
Testo completoWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc e 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.
Testo completoJung, Jihyeok, Chan-Oi Song, Deok-Joo Lee e Kiho Yoon. "Optimal Mechanism in a Dynamic Stochastic Knapsack Environment". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 9 (24 marzo 2024): 9807–14. http://dx.doi.org/10.1609/aaai.v38i9.28840.
Testo completoZhang, Yichi, Yangyao Ding e Panagiotis D. Christofides. "Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films". Processes 8, n. 1 (21 dicembre 2019): 18. http://dx.doi.org/10.3390/pr8010018.
Testo completoWang, Tianhao, Quanyi Yu, Xianli Yu, Le Gao e Huanyu Zhao. "Radiated Susceptibility Analysis of Multiconductor Transmission Lines Based on Polynomial Chaos". Applied Computational Electromagnetics Society 35, n. 12 (15 febbraio 2021): 1556–66. http://dx.doi.org/10.47037/2020.aces.j.351215.
Testo completoGomes, Véronique, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira e 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. 21 (3 novembre 2021): 10319. http://dx.doi.org/10.3390/app112110319.
Testo completoIbrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah e Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data". Statistical Methods in Medical Research 28, n. 10-11 (12 ottobre 2018): 3415–36. http://dx.doi.org/10.1177/0962280218801147.
Testo completoShahzad, Usman, Ishfaq Ahmad, Ibrahim Mufrah Almanjahie e Amer Ibrahim Al-Omari. "Three-fold utilization of supplementary information for mean estimation under median ranked set sampling scheme". PLOS ONE 17, n. 10 (24 ottobre 2022): e0276514. http://dx.doi.org/10.1371/journal.pone.0276514.
Testo completoLiu, Manhua, Yangyang Wang, Yueping Jiang, Haitao Liu, Jingjing Chen e Shao Liu. "Quantitation of Oxcarbazepine Clinically in Plasma Using Surfaced-Enhanced Raman Spectroscopy (SERS) Coupled with Chemometrics". Applied Spectroscopy 73, n. 7 (21 maggio 2019): 801–9. http://dx.doi.org/10.1177/0003702819845389.
Testo completoVirtanen, Arja, Veli Kairisto e Esa Uusipaikka. "Regression-based reference limits: determination of sufficient sample size". Clinical Chemistry 44, n. 11 (1 novembre 1998): 2353–58. http://dx.doi.org/10.1093/clinchem/44.11.2353.
Testo completoLiang, Xitong, Samuel Livingstone e Jim Griffin. "Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models". Entropy 25, n. 9 (8 settembre 2023): 1310. http://dx.doi.org/10.3390/e25091310.
Testo completoGao, Yuanyuan, Na Liu, Peng Liu e 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. 9 (settembre 2022): 168781322211122. http://dx.doi.org/10.1177/16878132221112203.
Testo completoLa Rocca, Michele, e Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, n. 2 (25 aprile 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Testo completoLa Rocca, Michele, e Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, n. 2 (25 aprile 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Testo completoFaristasari, Selvi, e 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. 1 (27 marzo 2023): 24–36. http://dx.doi.org/10.21776/ub.ijma.2023.001.01.4.
Testo completoHabeck, Christian, Qolamreza Razlighi e Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation". PLOS ONE 16, n. 4 (8 aprile 2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Testo completoGianola, Daniel, e Rohan L. Fernando. "A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits". Genetics 214, n. 2 (26 dicembre 2019): 305–31. http://dx.doi.org/10.1534/genetics.119.302934.
Testo completoPrasanna, K., Mudassir Khan, Saeed M. Alshahrani, Ajmeera Kiran, P. Phanindra Kumar Reddy, Mofadal Alymani e J. Chinna Babu. "Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments". Applied Sciences 13, n. 14 (8 luglio 2023): 8004. http://dx.doi.org/10.3390/app13148004.
Testo completoKalinina, Irina A., e Aleksandr P. Gozhyj. "Modeling and forecasting of nonlinear nonstationary processes based on the Bayesian structural time series". Applied Aspects of Information Technology 5, n. 3 (25 ottobre 2022): 240–55. http://dx.doi.org/10.15276/aait.05.2022.17.
Testo completoBarrera, David, Stéphane Crépey, Babacar Diallo, Gersende Fort, Emmanuel Gobet e 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.
Testo completoYEASIN, M., K. N. SINGH, A. LAMA e B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, n. 4 (1 novembre 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.3542.
Testo completoYEASIN, M., K. N. SINGH, A. LAMA e B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, n. 4 (10 novembre 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.670.
Testo completoLiu, Qian, Xufang Zhang e 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. 3 (8 ottobre 2018): 487–502. http://dx.doi.org/10.1177/1748006x18804047.
Testo 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.
Testo completoZhang, Qi, Yihui Zhang e Yemao Xia. "Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations". Mathematics 12, n. 5 (6 marzo 2024): 783. http://dx.doi.org/10.3390/math12050783.
Testo completoMandallaz, Daniel, Jochen Breschan e 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. 11 (novembre 2013): 1023–31. http://dx.doi.org/10.1139/cjfr-2013-0181.
Testo completoNabeel, Moezza, Sajid Ali, Ismail Shah, Mohammed M. A. Almazah e Fuad S. Al-Duais. "Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data". Mathematics 11, n. 11 (28 maggio 2023): 2480. http://dx.doi.org/10.3390/math11112480.
Testo completoPooley, C. M., e G. Marion. "Bayesian model evidence as a practical alternative to deviance information criterion". Royal Society Open Science 5, n. 3 (marzo 2018): 171519. http://dx.doi.org/10.1098/rsos.171519.
Testo completoButyrkin, A. Ya, V. A. Gelis e 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. 4 (2021): 68–78. http://dx.doi.org/10.20291/2079-0392-2021-4-68-78.
Testo completoSilalahi, Divo Dharma, Habshah Midi, Jayanthi Arasan, Mohd Shafie Mustafa e Jean-Pierre Caliman. "Automated Fitting Process Using Robust Reliable Weighted Average on Near Infrared Spectral Data Analysis". Symmetry 12, n. 12 (17 dicembre 2020): 2099. http://dx.doi.org/10.3390/sym12122099.
Testo completoNaz, Aqdas, Muhammad Javed, Nadeem Javaid, Tanzila Saba, Musaed Alhussein e Khursheed Aurangzeb. "Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids". Energies 12, n. 5 (5 marzo 2019): 866. http://dx.doi.org/10.3390/en12050866.
Testo completoKadarmideen, H. N., R. Rekaya e D. Gianola. "Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian analysis". Animal Science 73, n. 2 (ottobre 2001): 229–40. http://dx.doi.org/10.1017/s1357729800058203.
Testo completoLi, Xiaofei, Yi Wu, Quanxin Zhu, Songbo Hu e Chuan Qin. "A regression-based Monte Carlo method to solve two-dimensional forward backward stochastic differential equations". Advances in Difference Equations 2021, n. 1 (16 aprile 2021). http://dx.doi.org/10.1186/s13662-021-03361-5.
Testo completoDe Bortoli, Valentin, Alain Durmus, Marcelo Pereyra e Ana F. Vidal. "Efficient stochastic optimisation by unadjusted Langevin Monte Carlo". Statistics and Computing 31, n. 3 (19 marzo 2021). http://dx.doi.org/10.1007/s11222-020-09986-y.
Testo completoRiebl, Hannes, Nadja Klein e 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 marzo 2023. http://dx.doi.org/10.1093/jrsssc/qlad015.
Testo completoKhan, Sajid Ali, Sayyad Khurshid, Tooba Akhtar e 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. 1 (15 febbraio 2021). http://dx.doi.org/10.48161/qaj.v1n1a22.
Testo completoZhu, Yu, Yinhao Wang, Quanyi Yu, Dayong Wu, Yang Zhang e 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 novembre 2021. http://dx.doi.org/10.13052/2021.aces.j.361004.
Testo completoLa Rocca, Michele, Marcella Niglio e Marialuisa Restaino. "Bootstrapping binary GEV regressions for imbalanced datasets". Computational Statistics, 4 febbraio 2023. http://dx.doi.org/10.1007/s00180-023-01330-y.
Testo completoAßmann, Christian, Jean-Christoph Gaasch e Doris Stingl. "A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models". Psychometrika, 23 novembre 2022. http://dx.doi.org/10.1007/s11336-022-09888-0.
Testo completoWashaya, S., B. Masunda e N. T. Ngongoni. "Impact and adoption of feed technologies at Nharira-Lancashire Dairy Scheme". Journal of Applied Animal Nutrition, 26 marzo 2024, 1–8. http://dx.doi.org/10.1163/2049257x-20231002.
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