Artykuły w czasopismach na temat „Regression Monte-Carlo scheme”
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Izydorczyk, Lucas, Nadia Oudjane i 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, nr 4 (21.10.2021): 347–71. http://dx.doi.org/10.1515/mcma-2021-2095.
Pełny tekst źródłaFolashade Adeola Bolarinwa, Olusola Samuel Makinde i Olusoga Akin Fasoranbaku. "A new Bayesian ridge estimator for logistic regression in the presence of multicollinearity". World Journal of Advanced Research and Reviews 20, nr 3 (30.12.2023): 458–65. http://dx.doi.org/10.30574/wjarr.2023.20.3.2415.
Pełny tekst źródłaGobet, E., J. G. López-Salas, P. Turkedjiev i C. Vázquez. "Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs". SIAM Journal on Scientific Computing 38, nr 6 (styczeń 2016): C652—C677. http://dx.doi.org/10.1137/16m106371x.
Pełny tekst źródłaTrinchero, Riccardo, i Flavio Canavero. "Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices". Engineering Proceedings 3, nr 1 (30.10.2020): 3. http://dx.doi.org/10.3390/iec2020-06967.
Pełny tekst źródłaGobet, Emmanuel, José Germán López-Salas i 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, nr 3 (4.04.2019): 889–921. http://dx.doi.org/10.1007/s11831-019-09335-x.
Pełny tekst źródłaKhan, Sajid Ali, Sayyad Khurshid, Shabnam Arshad i Owais Mushtaq. "Bias Estimation of Linear Regression Model with Autoregressive Scheme using Simulation Study". Journal of Mathematical Analysis and Modeling 2, nr 1 (29.03.2021): 26–39. http://dx.doi.org/10.48185/jmam.v2i1.131.
Pełny tekst źródłaWang, Han, Lingwei Xu i Xianpeng Wang. "Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network". Sensors 19, nr 21 (4.11.2019): 4789. http://dx.doi.org/10.3390/s19214789.
Pełny tekst źródłaSeo, Jung-In, Young Eun Jeon i Suk-Bok Kang. "New Approach for a Weibull Distribution under the Progressive Type-II Censoring Scheme". Mathematics 8, nr 10 (5.10.2020): 1713. http://dx.doi.org/10.3390/math8101713.
Pełny tekst źródłaMORALES, MARÍA, CARMELO RODRÍGUEZ i ANTONIO SALMERÓN. "SELECTIVE NAIVE BAYES FOR REGRESSION BASED ON MIXTURES OF TRUNCATED EXPONENTIALS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, nr 06 (grudzień 2007): 697–716. http://dx.doi.org/10.1142/s0218488507004959.
Pełny tekst źródłaMa, Zhi-Sai, Li Liu, Si-Da Zhou i 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.
Pełny tekst źródłaJiang, Nan, i Yexiang Xue. "Racing Control Variable Genetic Programming for Symbolic Regression". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 11 (24.03.2024): 12901–9. http://dx.doi.org/10.1609/aaai.v38i11.29187.
Pełny tekst źródłaWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc i 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.
Pełny tekst źródłaJung, Jihyeok, Chan-Oi Song, Deok-Joo Lee i Kiho Yoon. "Optimal Mechanism in a Dynamic Stochastic Knapsack Environment". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 9 (24.03.2024): 9807–14. http://dx.doi.org/10.1609/aaai.v38i9.28840.
Pełny tekst źródłaZhang, Yichi, Yangyao Ding i Panagiotis D. Christofides. "Integrating Feedback Control and Run-to-Run Control in Multi-Wafer Thermal Atomic Layer Deposition of Thin Films". Processes 8, nr 1 (21.12.2019): 18. http://dx.doi.org/10.3390/pr8010018.
Pełny tekst źródłaWang, Tianhao, Quanyi Yu, Xianli Yu, Le Gao i Huanyu Zhao. "Radiated Susceptibility Analysis of Multiconductor Transmission Lines Based on Polynomial Chaos". Applied Computational Electromagnetics Society 35, nr 12 (15.02.2021): 1556–66. http://dx.doi.org/10.47037/2020.aces.j.351215.
Pełny tekst źródłaGomes, Véronique, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira i 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, nr 21 (3.11.2021): 10319. http://dx.doi.org/10.3390/app112110319.
Pełny tekst źródłaIbrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah i Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data". Statistical Methods in Medical Research 28, nr 10-11 (12.10.2018): 3415–36. http://dx.doi.org/10.1177/0962280218801147.
Pełny tekst źródłaShahzad, Usman, Ishfaq Ahmad, Ibrahim Mufrah Almanjahie i Amer Ibrahim Al-Omari. "Three-fold utilization of supplementary information for mean estimation under median ranked set sampling scheme". PLOS ONE 17, nr 10 (24.10.2022): e0276514. http://dx.doi.org/10.1371/journal.pone.0276514.
Pełny tekst źródłaLiu, Manhua, Yangyang Wang, Yueping Jiang, Haitao Liu, Jingjing Chen i Shao Liu. "Quantitation of Oxcarbazepine Clinically in Plasma Using Surfaced-Enhanced Raman Spectroscopy (SERS) Coupled with Chemometrics". Applied Spectroscopy 73, nr 7 (21.05.2019): 801–9. http://dx.doi.org/10.1177/0003702819845389.
Pełny tekst źródłaVirtanen, Arja, Veli Kairisto i Esa Uusipaikka. "Regression-based reference limits: determination of sufficient sample size". Clinical Chemistry 44, nr 11 (1.11.1998): 2353–58. http://dx.doi.org/10.1093/clinchem/44.11.2353.
Pełny tekst źródłaLiang, Xitong, Samuel Livingstone i Jim Griffin. "Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models". Entropy 25, nr 9 (8.09.2023): 1310. http://dx.doi.org/10.3390/e25091310.
Pełny tekst źródłaGao, Yuanyuan, Na Liu, Peng Liu i 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, nr 9 (wrzesień 2022): 168781322211122. http://dx.doi.org/10.1177/16878132221112203.
Pełny tekst źródłaLa Rocca, Michele, i Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, nr 2 (25.04.2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Pełny tekst źródłaLa Rocca, Michele, i Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning". Stats 5, nr 2 (25.04.2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Pełny tekst źródłaFaristasari, Selvi, i 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, nr 1 (27.03.2023): 24–36. http://dx.doi.org/10.21776/ub.ijma.2023.001.01.4.
Pełny tekst źródłaHabeck, Christian, Qolamreza Razlighi i Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation". PLOS ONE 16, nr 4 (8.04.2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Pełny tekst źródłaGianola, Daniel, i Rohan L. Fernando. "A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits". Genetics 214, nr 2 (26.12.2019): 305–31. http://dx.doi.org/10.1534/genetics.119.302934.
Pełny tekst źródłaPrasanna, K., Mudassir Khan, Saeed M. Alshahrani, Ajmeera Kiran, P. Phanindra Kumar Reddy, Mofadal Alymani i J. Chinna Babu. "Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments". Applied Sciences 13, nr 14 (8.07.2023): 8004. http://dx.doi.org/10.3390/app13148004.
Pełny tekst źródłaKalinina, Irina A., i Aleksandr P. Gozhyj. "Modeling and forecasting of nonlinear nonstationary processes based on the Bayesian structural time series". Applied Aspects of Information Technology 5, nr 3 (25.10.2022): 240–55. http://dx.doi.org/10.15276/aait.05.2022.17.
Pełny tekst źródłaBarrera, David, Stéphane Crépey, Babacar Diallo, Gersende Fort, Emmanuel Gobet i 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.
Pełny tekst źródłaYEASIN, M., K. N. SINGH, A. LAMA i B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, nr 4 (1.11.2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.3542.
Pełny tekst źródłaYEASIN, M., K. N. SINGH, A. LAMA i B. GURUNG. "Improved weather indices based Bayesian regression model for forecasting crop yield". MAUSAM 72, nr 4 (10.11.2021): 879–86. http://dx.doi.org/10.54302/mausam.v72i4.670.
Pełny tekst źródłaLiu, Qian, Xufang Zhang i 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, nr 3 (8.10.2018): 487–502. http://dx.doi.org/10.1177/1748006x18804047.
Pełny tekst źródłaRamnath, 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.
Pełny tekst źródłaZhang, Qi, Yihui Zhang i Yemao Xia. "Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations". Mathematics 12, nr 5 (6.03.2024): 783. http://dx.doi.org/10.3390/math12050783.
Pełny tekst źródłaMandallaz, Daniel, Jochen Breschan i 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, nr 11 (listopad 2013): 1023–31. http://dx.doi.org/10.1139/cjfr-2013-0181.
Pełny tekst źródłaNabeel, Moezza, Sajid Ali, Ismail Shah, Mohammed M. A. Almazah i Fuad S. Al-Duais. "Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data". Mathematics 11, nr 11 (28.05.2023): 2480. http://dx.doi.org/10.3390/math11112480.
Pełny tekst źródłaPooley, C. M., i G. Marion. "Bayesian model evidence as a practical alternative to deviance information criterion". Royal Society Open Science 5, nr 3 (marzec 2018): 171519. http://dx.doi.org/10.1098/rsos.171519.
Pełny tekst źródłaButyrkin, A. Ya, V. A. Gelis i 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, nr 4 (2021): 68–78. http://dx.doi.org/10.20291/2079-0392-2021-4-68-78.
Pełny tekst źródłaSilalahi, Divo Dharma, Habshah Midi, Jayanthi Arasan, Mohd Shafie Mustafa i Jean-Pierre Caliman. "Automated Fitting Process Using Robust Reliable Weighted Average on Near Infrared Spectral Data Analysis". Symmetry 12, nr 12 (17.12.2020): 2099. http://dx.doi.org/10.3390/sym12122099.
Pełny tekst źródłaNaz, Aqdas, Muhammad Javed, Nadeem Javaid, Tanzila Saba, Musaed Alhussein i Khursheed Aurangzeb. "Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids". Energies 12, nr 5 (5.03.2019): 866. http://dx.doi.org/10.3390/en12050866.
Pełny tekst źródłaKadarmideen, H. N., R. Rekaya i D. Gianola. "Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian analysis". Animal Science 73, nr 2 (październik 2001): 229–40. http://dx.doi.org/10.1017/s1357729800058203.
Pełny tekst źródłaLi, Xiaofei, Yi Wu, Quanxin Zhu, Songbo Hu i Chuan Qin. "A regression-based Monte Carlo method to solve two-dimensional forward backward stochastic differential equations". Advances in Difference Equations 2021, nr 1 (16.04.2021). http://dx.doi.org/10.1186/s13662-021-03361-5.
Pełny tekst źródłaDe Bortoli, Valentin, Alain Durmus, Marcelo Pereyra i Ana F. Vidal. "Efficient stochastic optimisation by unadjusted Langevin Monte Carlo". Statistics and Computing 31, nr 3 (19.03.2021). http://dx.doi.org/10.1007/s11222-020-09986-y.
Pełny tekst źródłaRiebl, Hannes, Nadja Klein i 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, 22.03.2023. http://dx.doi.org/10.1093/jrsssc/qlad015.
Pełny tekst źródłaKhan, Sajid Ali, Sayyad Khurshid, Tooba Akhtar i Kashmala Khurshid. "Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme". Qubahan Academic Journal 1, nr 1 (15.02.2021). http://dx.doi.org/10.48161/qaj.v1n1a22.
Pełny tekst źródłaZhu, Yu, Yinhao Wang, Quanyi Yu, Dayong Wu, Yang Zhang i 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), 23.11.2021. http://dx.doi.org/10.13052/2021.aces.j.361004.
Pełny tekst źródłaLa Rocca, Michele, Marcella Niglio i Marialuisa Restaino. "Bootstrapping binary GEV regressions for imbalanced datasets". Computational Statistics, 4.02.2023. http://dx.doi.org/10.1007/s00180-023-01330-y.
Pełny tekst źródłaAßmann, Christian, Jean-Christoph Gaasch i Doris Stingl. "A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models". Psychometrika, 23.11.2022. http://dx.doi.org/10.1007/s11336-022-09888-0.
Pełny tekst źródłaWashaya, S., B. Masunda i N. T. Ngongoni. "Impact and adoption of feed technologies at Nharira-Lancashire Dairy Scheme". Journal of Applied Animal Nutrition, 26.03.2024, 1–8. http://dx.doi.org/10.1163/2049257x-20231002.
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