Статті в журналах з теми "Regression Monte-Carlo scheme"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Regression Monte-Carlo scheme".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Izydorczyk, Lucas, Nadia Oudjane, and 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, no. 4 (October 21, 2021): 347–71. http://dx.doi.org/10.1515/mcma-2021-2095.
Повний текст джерелаFolashade Adeola Bolarinwa, Olusola Samuel Makinde, and Olusoga Akin Fasoranbaku. "A new Bayesian ridge estimator for logistic regression in the presence of multicollinearity." World Journal of Advanced Research and Reviews 20, no. 3 (December 30, 2023): 458–65. http://dx.doi.org/10.30574/wjarr.2023.20.3.2415.
Повний текст джерелаGobet, E., J. G. López-Salas, P. Turkedjiev, and C. Vázquez. "Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs." SIAM Journal on Scientific Computing 38, no. 6 (January 2016): C652—C677. http://dx.doi.org/10.1137/16m106371x.
Повний текст джерелаTrinchero, Riccardo, and Flavio Canavero. "Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices." Engineering Proceedings 3, no. 1 (October 30, 2020): 3. http://dx.doi.org/10.3390/iec2020-06967.
Повний текст джерелаGobet, Emmanuel, José Germán López-Salas, and 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, no. 3 (April 4, 2019): 889–921. http://dx.doi.org/10.1007/s11831-019-09335-x.
Повний текст джерелаKhan, Sajid Ali, Sayyad Khurshid, Shabnam Arshad, and Owais Mushtaq. "Bias Estimation of Linear Regression Model with Autoregressive Scheme using Simulation Study." Journal of Mathematical Analysis and Modeling 2, no. 1 (March 29, 2021): 26–39. http://dx.doi.org/10.48185/jmam.v2i1.131.
Повний текст джерелаWang, Han, Lingwei Xu, and Xianpeng Wang. "Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network." Sensors 19, no. 21 (November 4, 2019): 4789. http://dx.doi.org/10.3390/s19214789.
Повний текст джерелаSeo, Jung-In, Young Eun Jeon, and Suk-Bok Kang. "New Approach for a Weibull Distribution under the Progressive Type-II Censoring Scheme." Mathematics 8, no. 10 (October 5, 2020): 1713. http://dx.doi.org/10.3390/math8101713.
Повний текст джерелаMORALES, MARÍA, CARMELO RODRÍGUEZ, and ANTONIO SALMERÓN. "SELECTIVE NAIVE BAYES FOR REGRESSION BASED ON MIXTURES OF TRUNCATED EXPONENTIALS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 06 (December 2007): 697–716. http://dx.doi.org/10.1142/s0218488507004959.
Повний текст джерелаMa, Zhi-Sai, Li Liu, Si-Da Zhou, and 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.
Повний текст джерелаJiang, Nan, and Yexiang Xue. "Racing Control Variable Genetic Programming for Symbolic Regression." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12901–9. http://dx.doi.org/10.1609/aaai.v38i11.29187.
Повний текст джерелаWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc, and 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.
Повний текст джерелаJung, Jihyeok, Chan-Oi Song, Deok-Joo Lee, and Kiho Yoon. "Optimal Mechanism in a Dynamic Stochastic Knapsack Environment." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (March 24, 2024): 9807–14. http://dx.doi.org/10.1609/aaai.v38i9.28840.
Повний текст джерелаZhang, Yichi, Yangyao Ding, and Panagiotis D. Christofides. "Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films." Processes 8, no. 1 (December 21, 2019): 18. http://dx.doi.org/10.3390/pr8010018.
Повний текст джерелаWang, Tianhao, Quanyi Yu, Xianli Yu, Le Gao, and Huanyu Zhao. "Radiated Susceptibility Analysis of Multiconductor Transmission Lines Based on Polynomial Chaos." Applied Computational Electromagnetics Society 35, no. 12 (February 15, 2021): 1556–66. http://dx.doi.org/10.47037/2020.aces.j.351215.
Повний текст джерелаGomes, Véronique, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira, and 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, no. 21 (November 3, 2021): 10319. http://dx.doi.org/10.3390/app112110319.
Повний текст джерелаIbrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah, and Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data." Statistical Methods in Medical Research 28, no. 10-11 (October 12, 2018): 3415–36. http://dx.doi.org/10.1177/0962280218801147.
Повний текст джерелаShahzad, Usman, Ishfaq Ahmad, Ibrahim Mufrah Almanjahie, and Amer Ibrahim Al-Omari. "Three-fold utilization of supplementary information for mean estimation under median ranked set sampling scheme." PLOS ONE 17, no. 10 (October 24, 2022): e0276514. http://dx.doi.org/10.1371/journal.pone.0276514.
Повний текст джерелаLiu, Manhua, Yangyang Wang, Yueping Jiang, Haitao Liu, Jingjing Chen, and Shao Liu. "Quantitation of Oxcarbazepine Clinically in Plasma Using Surfaced-Enhanced Raman Spectroscopy (SERS) Coupled with Chemometrics." Applied Spectroscopy 73, no. 7 (May 21, 2019): 801–9. http://dx.doi.org/10.1177/0003702819845389.
Повний текст джерелаVirtanen, Arja, Veli Kairisto, and Esa Uusipaikka. "Regression-based reference limits: determination of sufficient sample size." Clinical Chemistry 44, no. 11 (November 1, 1998): 2353–58. http://dx.doi.org/10.1093/clinchem/44.11.2353.
Повний текст джерелаLiang, Xitong, Samuel Livingstone, and Jim Griffin. "Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models." Entropy 25, no. 9 (September 8, 2023): 1310. http://dx.doi.org/10.3390/e25091310.
Повний текст джерелаGao, Yuanyuan, Na Liu, Peng Liu та 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, № 9 (вересень 2022): 168781322211122. http://dx.doi.org/10.1177/16878132221112203.
Повний текст джерелаLa Rocca, Michele, and Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning." Stats 5, no. 2 (April 25, 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Повний текст джерелаLa Rocca, Michele, and Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning." Stats 5, no. 2 (April 25, 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Повний текст джерелаFaristasari, Selvi, and 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, no. 1 (March 27, 2023): 24–36. http://dx.doi.org/10.21776/ub.ijma.2023.001.01.4.
Повний текст джерелаHabeck, Christian, Qolamreza Razlighi, and Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation." PLOS ONE 16, no. 4 (April 8, 2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Повний текст джерелаGianola, Daniel, and Rohan L. Fernando. "A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits." Genetics 214, no. 2 (December 26, 2019): 305–31. http://dx.doi.org/10.1534/genetics.119.302934.
Повний текст джерелаPrasanna, K., Mudassir Khan, Saeed M. Alshahrani, Ajmeera Kiran, P. Phanindra Kumar Reddy, Mofadal Alymani, and J. Chinna Babu. "Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments." Applied Sciences 13, no. 14 (July 8, 2023): 8004. http://dx.doi.org/10.3390/app13148004.
Повний текст джерелаKalinina, Irina A., and Aleksandr P. Gozhyj. "Modeling and forecasting of nonlinear nonstationary processes based on the Bayesian structural time series." Applied Aspects of Information Technology 5, no. 3 (October 25, 2022): 240–55. http://dx.doi.org/10.15276/aait.05.2022.17.
Повний текст джерелаBarrera, David, Stéphane Crépey, Babacar Diallo, Gersende Fort, Emmanuel Gobet, and 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.
Повний текст джерелаYEASIN, M., K. N. SINGH, A. LAMA, and B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield." MAUSAM 72, no. 4 (November 1, 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.3542.
Повний текст джерелаYEASIN, M., K. N. SINGH, A. LAMA, and B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield." MAUSAM 72, no. 4 (November 10, 2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.670.
Повний текст джерелаLiu, Qian, Xufang Zhang, and 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, no. 3 (October 8, 2018): 487–502. http://dx.doi.org/10.1177/1748006x18804047.
Повний текст джерелаRamnath, 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.
Повний текст джерелаZhang, Qi, Yihui Zhang, and Yemao Xia. "Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations." Mathematics 12, no. 5 (March 6, 2024): 783. http://dx.doi.org/10.3390/math12050783.
Повний текст джерелаMandallaz, Daniel, Jochen Breschan, and 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, no. 11 (November 2013): 1023–31. http://dx.doi.org/10.1139/cjfr-2013-0181.
Повний текст джерелаNabeel, Moezza, Sajid Ali, Ismail Shah, Mohammed M. A. Almazah, and Fuad S. Al-Duais. "Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data." Mathematics 11, no. 11 (May 28, 2023): 2480. http://dx.doi.org/10.3390/math11112480.
Повний текст джерелаPooley, C. M., and G. Marion. "Bayesian model evidence as a practical alternative to deviance information criterion." Royal Society Open Science 5, no. 3 (March 2018): 171519. http://dx.doi.org/10.1098/rsos.171519.
Повний текст джерелаButyrkin, A. Ya, V. A. Gelis, and 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, no. 4 (2021): 68–78. http://dx.doi.org/10.20291/2079-0392-2021-4-68-78.
Повний текст джерелаSilalahi, Divo Dharma, Habshah Midi, Jayanthi Arasan, Mohd Shafie Mustafa, and Jean-Pierre Caliman. "Automated Fitting Process Using Robust Reliable Weighted Average on Near Infrared Spectral Data Analysis." Symmetry 12, no. 12 (December 17, 2020): 2099. http://dx.doi.org/10.3390/sym12122099.
Повний текст джерелаNaz, Aqdas, Muhammad Javed, Nadeem Javaid, Tanzila Saba, Musaed Alhussein, and Khursheed Aurangzeb. "Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids." Energies 12, no. 5 (March 5, 2019): 866. http://dx.doi.org/10.3390/en12050866.
Повний текст джерелаKadarmideen, H. N., R. Rekaya, and D. Gianola. "Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian analysis." Animal Science 73, no. 2 (October 2001): 229–40. http://dx.doi.org/10.1017/s1357729800058203.
Повний текст джерелаLi, Xiaofei, Yi Wu, Quanxin Zhu, Songbo Hu, and Chuan Qin. "A regression-based Monte Carlo method to solve two-dimensional forward backward stochastic differential equations." Advances in Difference Equations 2021, no. 1 (April 16, 2021). http://dx.doi.org/10.1186/s13662-021-03361-5.
Повний текст джерелаDe Bortoli, Valentin, Alain Durmus, Marcelo Pereyra, and Ana F. Vidal. "Efficient stochastic optimisation by unadjusted Langevin Monte Carlo." Statistics and Computing 31, no. 3 (March 19, 2021). http://dx.doi.org/10.1007/s11222-020-09986-y.
Повний текст джерелаRiebl, Hannes, Nadja Klein, and 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, March 22, 2023. http://dx.doi.org/10.1093/jrsssc/qlad015.
Повний текст джерелаKhan, Sajid Ali, Sayyad Khurshid, Tooba Akhtar, and Kashmala Khurshid. "Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme." Qubahan Academic Journal 1, no. 1 (February 15, 2021). http://dx.doi.org/10.48161/qaj.v1n1a22.
Повний текст джерелаZhu, Yu, Yinhao Wang, Quanyi Yu, Dayong Wu, Yang Zhang, and 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), November 23, 2021. http://dx.doi.org/10.13052/2021.aces.j.361004.
Повний текст джерелаLa Rocca, Michele, Marcella Niglio, and Marialuisa Restaino. "Bootstrapping binary GEV regressions for imbalanced datasets." Computational Statistics, February 4, 2023. http://dx.doi.org/10.1007/s00180-023-01330-y.
Повний текст джерелаAßmann, Christian, Jean-Christoph Gaasch, and Doris Stingl. "A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models." Psychometrika, November 23, 2022. http://dx.doi.org/10.1007/s11336-022-09888-0.
Повний текст джерелаWashaya, S., B. Masunda, and N. T. Ngongoni. "Impact and adoption of feed technologies at Nharira-Lancashire Dairy Scheme." Journal of Applied Animal Nutrition, March 26, 2024, 1–8. http://dx.doi.org/10.1163/2049257x-20231002.
Повний текст джерела