Artículos de revistas sobre el tema "Nonlinear Autoregressive model"
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Meitz, Mika y Pentti Saikkonen. "PARAMETER ESTIMATION IN NONLINEAR AR–GARCH MODELS". Econometric Theory 27, n.º 6 (31 de mayo de 2011): 1236–78. http://dx.doi.org/10.1017/s0266466611000041.
Texto completoKresnawati, Gayuh, Budi Warsito y Abdul Hoyyi. "PERAMALAN INDEKS HARGA SAHAM GABUNGAN DENGAN METODE LOGISTIC SMOOTH TRANSITION AUTOREGRESSIVE (LSTAR)". Jurnal Gaussian 7, n.º 1 (28 de febrero de 2018): 84–95. http://dx.doi.org/10.14710/j.gauss.v7i1.26638.
Texto completoSheng Lu y Ki H. Chon. "Nonlinear autoregressive and nonlinear autoregressive moving average model parameter estimation by minimizing hypersurface distance". IEEE Transactions on Signal Processing 51, n.º 12 (diciembre de 2003): 3020–26. http://dx.doi.org/10.1109/tsp.2003.818999.
Texto completoBauldry, Shawn y Kenneth A. Bollen. "Nonlinear Autoregressive Latent Trajectory Models". Sociological Methodology 48, n.º 1 (agosto de 2018): 269–302. http://dx.doi.org/10.1177/0081175018789441.
Texto completoSrinivasan, Sundararajan, Tao Ma, Georgios Lazarou y Joseph Picone. "A nonlinear autoregressive model for speaker verification". International Journal of Speech Technology 17, n.º 1 (6 de junio de 2013): 17–25. http://dx.doi.org/10.1007/s10772-013-9201-9.
Texto completoIkoma, Norikazu y Kaoru Hirota. "Nonlinear autoregressive model based on fuzzy relation". Information Sciences 71, n.º 1-2 (junio de 1993): 131–44. http://dx.doi.org/10.1016/0020-0255(93)90068-w.
Texto completoWang, Meiqi, Enli Chen, Pengfei Liu y Wenwu Guo. "Multivariable nonlinear predictive control of a clinker sintering system at different working states by combining artificial neural network and autoregressive exogenous". Advances in Mechanical Engineering 12, n.º 1 (enero de 2020): 168781401989650. http://dx.doi.org/10.1177/1687814019896509.
Texto completoXiong, Weili, Wei Fan y Rui Ding. "Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems". Journal of Applied Mathematics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/684074.
Texto completoSapra, Sunil. "A comparative study of parametric and semiparametric autoregressive models". International Journal of Accounting and Economics Studies 10, n.º 1 (5 de abril de 2022): 15–19. http://dx.doi.org/10.14419/ijaes.v10i1.31978.
Texto completoBlanchard, Tyler y Biswanath Samanta. "Wind speed forecasting using neural networks". Wind Engineering 44, n.º 1 (29 de mayo de 2019): 33–48. http://dx.doi.org/10.1177/0309524x19849846.
Texto completoHan, Xu, Huoyue Xiang, Yongle Li y Yichao Wang. "Predictions of vertical train-bridge response using artificial neural network-based surrogate model". Advances in Structural Engineering 22, n.º 12 (26 de mayo de 2019): 2712–23. http://dx.doi.org/10.1177/1369433219849809.
Texto completoMin, Chen y An Hongzhi. "The existence of moments of nonlinear autoregressive model". Acta Mathematicae Applicatae Sinica 14, n.º 3 (julio de 1998): 328–32. http://dx.doi.org/10.1007/bf02677414.
Texto completoYokota, Yasunari, Masaomi Koizumi y Noritaka Matsuoka. "Prediction coding of ECG by nonlinear autoregressive model". Systems and Computers in Japan 31, n.º 7 (julio de 2000): 66–74. http://dx.doi.org/10.1002/(sici)1520-684x(200007)31:7<66::aid-scj8>3.0.co;2-q.
Texto completoYang, Xiao-Hua y Yu-Qi Li. "DNA Optimization Threshold Autoregressive Prediction Model and Its Application in Ice Condition Time Series". Mathematical Problems in Engineering 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/191902.
Texto completoPereira, Janser Moura, Joel Augusto Muniz y Carlos Alberto Silva. "Nonlinear models to predict nitrogen mineralization in an Oxisol". Scientia Agricola 62, n.º 4 (agosto de 2005): 395–400. http://dx.doi.org/10.1590/s0103-90162005000400014.
Texto completoSu, Liyun y Chenlong Li. "Local Prediction of Chaotic Time Series Based on Polynomial Coefficient Autoregressive Model". Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/901807.
Texto completoHermansah, Hermansah, Dedi Rosadi, Abdurakhman Abdurakhman y Herni Utami. "SELECTION OF INPUT VARIABLES OF NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODEL FOR TIME SERIES DATA FORECASTING". MEDIA STATISTIKA 13, n.º 2 (28 de diciembre de 2020): 116–24. http://dx.doi.org/10.14710/medstat.13.2.116-124.
Texto completoYu, Pen-Ning, Charles Y. Liu, Christianne N. Heck, Theodore W. Berger y Dong Song. "A sparse multiscale nonlinear autoregressive model for seizure prediction". Journal of Neural Engineering 18, n.º 2 (26 de febrero de 2021): 026012. http://dx.doi.org/10.1088/1741-2552/abdd43.
Texto completoKato, Hiroko y Tohru Ozaki. "Adding data process feedback to the nonlinear autoregressive model". Signal Processing 82, n.º 9 (septiembre de 2002): 1189–204. http://dx.doi.org/10.1016/s0165-1684(02)00139-1.
Texto completoLi, Junxing, Zhihua Wang, Yongbo Zhang, Chengrui Liu y Huimin Fu. "A nonlinear Wiener process degradation model with autoregressive errors". Reliability Engineering & System Safety 173 (mayo de 2018): 48–57. http://dx.doi.org/10.1016/j.ress.2017.11.003.
Texto completoVesin, J. M. "A nonlinear autoregressive signal model with state-dependent gain". Signal Processing 26, n.º 1 (enero de 1992): 37–48. http://dx.doi.org/10.1016/0165-1684(92)90054-z.
Texto completoBai, Yu-ting, Xiao-yi Wang, Xue-bo Jin, Zhi-yao Zhao y Bai-hai Zhang. "A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model". Sensors 20, n.º 1 (5 de enero de 2020): 299. http://dx.doi.org/10.3390/s20010299.
Texto completoXaba, Diteboho, Ntebogang Dinah Moroke, Johnson Arkaah y Charlemagne Pooe. "A Comparative Study Of Stock Price Forecasting Using Nonlinear Models". Risk Governance and Control: Financial Markets and Institutions 7, n.º 2 (2017): 7–17. http://dx.doi.org/10.22495/rgcv7i2art1.
Texto completoMa, Qingwen, Sihan Liu, Xinyu Fan, Chen Chai, Yangyang Wang y Ke Yang. "A Time Series Prediction Model of Foundation Pit Deformation Based on Empirical Wavelet Transform and NARX Network". Mathematics 8, n.º 9 (8 de septiembre de 2020): 1535. http://dx.doi.org/10.3390/math8091535.
Texto completoGoryainov, A. V., V. B. Goryainov y W. M. Khing. "Robust Identification of an Exponential Autoregressive Model". Herald of the Bauman Moscow State Technical University. Series Natural Sciences, n.º 4 (91) (agosto de 2020): 42–57. http://dx.doi.org/10.18698/1812-3368-2020-4-42-57.
Texto completoSyed Asad, Hussain, Yuen Richard Kwok Kit y Lee Eric Wai Ming. "Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network". E3S Web of Conferences 111 (2019): 03059. http://dx.doi.org/10.1051/e3sconf/201911103059.
Texto completoSousa, Iábita Fabiana, Johan Eugen Kunzle Neto, Joel Augusto Muniz, Renato Mendes Guimarães, Taciana Villela Savian y Fabiana Rezende Muniz. "Fitting nonlinear autoregressive models to describe coffee seed germination". Ciência Rural 44, n.º 11 (noviembre de 2014): 2016–21. http://dx.doi.org/10.1590/0103-8478cr20131341.
Texto completoChen, Yiding y Xiaojin Zhu. "Optimal Attack against Autoregressive Models by Manipulating the Environment". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 3545–52. http://dx.doi.org/10.1609/aaai.v34i04.5760.
Texto completoSolikhah, Arifatus, Heri Kuswanto, Nur Iriawan y Kartika Fithriasari. "Fisher’s z Distribution-Based Mixture Autoregressive Model". Econometrics 9, n.º 3 (29 de junio de 2021): 27. http://dx.doi.org/10.3390/econometrics9030027.
Texto completoZheng, Dawei. "Prediction of the Length of Day from Atmospheric Angular Momentum with LSTAR Model". Symposium - International Astronomical Union 156 (1993): 335. http://dx.doi.org/10.1017/s0074180900173449.
Texto completoCHONG, TERENCE TAI-LEUNG, TAU-HING LAM y MELVIN J. HINICH. "ARE NONLINEAR TRADING RULES PROFITABLE IN THE CHINESE STOCK MARKET?" Annals of Financial Economics 05, n.º 01 (junio de 2009): 0950002. http://dx.doi.org/10.1142/s201049520950002x.
Texto completoChi, Yeong Nain y Orson Chi. "Application of Nonlinear Autoregressive Neural Network to Model and Forecast Time Series Global Price of Bananas". International Journal of Data Science 2, n.º 1 (5 de marzo de 2021): 19–37. http://dx.doi.org/10.18517/ijods.2.1.19-37.2021.
Texto completoFueda, Kaoru. "AN ADAPTIVE VARIABLE SELECTION FOR NONLINEAR AUTOREGRESSIVE TIME SERIES MODEL". Bulletin of informatics and cybernetics 37 (diciembre de 2005): 109–21. http://dx.doi.org/10.5109/12594.
Texto completoHwang, Eunju y Dong Wan Shin. "Stationary bootstrapping for non-parametric estimator of nonlinear autoregressive model". Journal of Time Series Analysis 32, n.º 3 (15 de noviembre de 2010): 292–303. http://dx.doi.org/10.1111/j.1467-9892.2010.00699.x.
Texto completoElhassanein, A. "On the Control of Forced Process Feedback Nonlinear Autoregressive Model". Journal of Computational and Theoretical Nanoscience 12, n.º 8 (1 de agosto de 2015): 1519–26. http://dx.doi.org/10.1166/jctn.2015.3923.
Texto completoHajrajabi, Arezo. "Markov switching model of nonlinear autoregressive with skew-symmetric innovations". Journal of Statistical Computation and Simulation 89, n.º 4 (6 de enero de 2019): 559–75. http://dx.doi.org/10.1080/00949655.2018.1563089.
Texto completoEikenberry, Steffen E. y Vasilis Z. Marmarelis. "A nonlinear autoregressive Volterra model of the Hodgkin–Huxley equations". Journal of Computational Neuroscience 34, n.º 1 (10 de agosto de 2012): 163–83. http://dx.doi.org/10.1007/s10827-012-0412-x.
Texto completoCHELANI, A. y S. DEVOTTA. "Air quality forecasting using a hybrid autoregressive and nonlinear model". Atmospheric Environment 40, n.º 10 (marzo de 2006): 1774–80. http://dx.doi.org/10.1016/j.atmosenv.2005.11.019.
Texto completoSakhabakhsh, Leila, Rahman Farnoosh, Afshin Fallah y Mohammadhassan Behzadi. "A Semiparametric Approach for Modeling Partially Linear Autoregressive Model with Skew Normal Innovations". Advances in Mathematical Physics 2022 (25 de febrero de 2022): 1–17. http://dx.doi.org/10.1155/2022/7863474.
Texto completoNadirah Mohd Johari, Sarah, Fairuz Husna Muhamad Farid, Nur Afifah Enara Binti Nasrudin, Nur Sarah Liyana Bistamam y Nur Syamira Syamimi Muhammad Shuhaili. "Predicting Stock Market Index Using Hybrid Intelligence Model". International Journal of Engineering & Technology 7, n.º 3.15 (13 de agosto de 2018): 36. http://dx.doi.org/10.14419/ijet.v7i3.15.17403.
Texto completoKim, Hee-Young, Christian H. Weiß y Tobias A. Möller. "Models for autoregressive processes of bounded counts: How different are they?" Computational Statistics 35, n.º 4 (27 de marzo de 2020): 1715–36. http://dx.doi.org/10.1007/s00180-020-00980-6.
Texto completoS. Khalaf, Zena y ,. Azher A. Mohammad. "On stability Conditions of Burr X Autoregressive model". Tikrit Journal of Pure Science 24, n.º 5 (13 de septiembre de 2019): 91. http://dx.doi.org/10.25130/j.v24i5.873.
Texto completoGhosh, Himadri, G. Sunilkumar y Prajneshu. "Mixture Nonlinear Time-Series Analysis : Modelling and Forecasting". Calcutta Statistical Association Bulletin 57, n.º 1-2 (marzo de 2005): 95–108. http://dx.doi.org/10.1177/0008068320050108.
Texto completoLi, Maobin, Shouwen Ji y Gang Liu. "Forecasting of Chinese E-Commerce Sales: An Empirical Comparison of ARIMA, Nonlinear Autoregressive Neural Network, and a Combined ARIMA-NARNN Model". Mathematical Problems in Engineering 2018 (19 de noviembre de 2018): 1–12. http://dx.doi.org/10.1155/2018/6924960.
Texto completoSzolgayová, Elena Peksová, Michaela Danačová, Magda Komorniková y Ján Szolgay. "Hybrid Forecasting of Daily River Discharges Considering Autoregressive Heteroscedasticity". Slovak Journal of Civil Engineering 25, n.º 2 (27 de junio de 2017): 39–48. http://dx.doi.org/10.1515/sjce-2017-0011.
Texto completoSamia, Ayari, Nouira Kaouther y Trabelsi Abdelwahed. "A Hybrid ARIMA and Artificial Neural Networks Model to Forecast Air Quality in Urban Areas: Case of Tunisia". Advanced Materials Research 518-523 (mayo de 2012): 2969–79. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.2969.
Texto completoLi, Lili, Shan Leng, Jun Yang y Mei Yu. "Stock Market Autoregressive Dynamics: A Multinational Comparative Study with Quantile Regression". Mathematical Problems in Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/1285768.
Texto completoRazali, Widya Kartini Mohd. "Forecasting of Building Electrical Energy Consumption Using Nonlinear Autoregressive Exogenous Input (NARX) Neural Network Time Series (NNTS) Model". Journal of Advanced Research in Dynamical and Control Systems 12, n.º 04-Special Issue (31 de marzo de 2020): 1555–60. http://dx.doi.org/10.5373/jardcs/v12sp4/20201635.
Texto completoSuhartono, Suhartono, Dedy Dwi Prastyo, Heri Kuswanto y Muhammad Hisyam Lee. "Comparison between VAR, GSTAR, FFNN-VAR and FFNN-GSTAR Models for Forecasting Oil Production". MATEMATIKA 34, n.º 1 (28 de mayo de 2018): 103–11. http://dx.doi.org/10.11113/matematika.v34.n1.1040.
Texto completoLaadissi, El Mehdi, Anas El Filali y Malika Zazi. "A Nonlinear TSNN Based Model of a Lead Acid Battery". Bulletin of Electrical Engineering and Informatics 7, n.º 2 (1 de junio de 2018): 169–75. http://dx.doi.org/10.11591/eei.v7i2.675.
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