Статті в журналах з теми "LASSO regression models"
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Giurcanu, Mihai, and Brett Presnell. "Bootstrapping LASSO-type estimators in regression models." Journal of Statistical Planning and Inference 199 (March 2019): 114–25. http://dx.doi.org/10.1016/j.jspi.2018.05.007.
Повний текст джерелаLi, Bohan, and Juan Wu. "Bayesian bootstrap adaptive lasso estimators of regression models." Journal of Statistical Computation and Simulation 91, no. 8 (January 11, 2021): 1651–80. http://dx.doi.org/10.1080/00949655.2020.1865959.
Повний текст джерелаWang, Xin, Lingchen Kong, and Liqun Wang. "Estimation of Error Variance in Regularized Regression Models via Adaptive Lasso." Mathematics 10, no. 11 (June 6, 2022): 1937. http://dx.doi.org/10.3390/math10111937.
Повний текст джерелаEmmert-Streib, Frank, and Matthias Dehmer. "High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection." Machine Learning and Knowledge Extraction 1, no. 1 (January 14, 2019): 359–83. http://dx.doi.org/10.3390/make1010021.
Повний текст джерелаHonda, Toshio, Ching-Kang Ing, and Wei-Ying Wu. "Adaptively weighted group Lasso for semiparametric quantile regression models." Bernoulli 25, no. 4B (November 2019): 3311–38. http://dx.doi.org/10.3150/18-bej1091.
Повний текст джерелаAhmed, S. Ejaz, Shakhawat Hossain, and Kjell A. Doksum. "LASSO and shrinkage estimation in Weibull censored regression models." Journal of Statistical Planning and Inference 142, no. 6 (June 2012): 1273–84. http://dx.doi.org/10.1016/j.jspi.2011.12.027.
Повний текст джерелаMatsui, Hidetoshi. "Sparse group lasso for multiclass functional logistic regression models." Communications in Statistics - Simulation and Computation 48, no. 6 (February 21, 2018): 1784–97. http://dx.doi.org/10.1080/03610918.2018.1423693.
Повний текст джерелаTian, Yuzhu, Silian Shen, Ge Lu, Manlai Tang, and Maozai Tian. "Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors." Communications in Statistics - Simulation and Computation 48, no. 3 (December 6, 2017): 777–96. http://dx.doi.org/10.1080/03610918.2017.1397166.
Повний текст джерелаXin, Seng Jia, and Kamil Khalid. "Modelling House Price Using Ridge Regression and Lasso Regression." International Journal of Engineering & Technology 7, no. 4.30 (November 30, 2018): 498. http://dx.doi.org/10.14419/ijet.v7i4.30.22378.
Повний текст джерелаQiao, Xin, Yoshikazu Kobayashi, Kenichi Oda, and Katsuya Nakamura. "Improved Acoustic Emission Tomography Algorithm Based on Lasso Regression." Applied Sciences 12, no. 22 (November 20, 2022): 11800. http://dx.doi.org/10.3390/app122211800.
Повний текст джерелаQian, Junhui, and Liangjun Su. "SHRINKAGE ESTIMATION OF REGRESSION MODELS WITH MULTIPLE STRUCTURAL CHANGES." Econometric Theory 32, no. 6 (June 23, 2015): 1376–433. http://dx.doi.org/10.1017/s0266466615000237.
Повний текст джерелаZhao, Yuanying, and Xingde Duan. "Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses." Journal of Mathematics 2022 (February 11, 2022): 1–12. http://dx.doi.org/10.1155/2022/3168735.
Повний текст джерелаZhou, Xiuqing, and Guoxiang Liu. "LAD-Lasso variable selection for doubly censored median regression models." Communications in Statistics - Theory and Methods 45, no. 12 (May 4, 2016): 3658–67. http://dx.doi.org/10.1080/03610926.2014.904357.
Повний текст джерелаYang, Xiaoxing, and Wushao Wen. "Ridge and Lasso Regression Models for Cross-Version Defect Prediction." IEEE Transactions on Reliability 67, no. 3 (September 2018): 885–96. http://dx.doi.org/10.1109/tr.2018.2847353.
Повний текст джерелаKong, Shengchun, Zhuqing Yu, Xianyang Zhang, and Guang Cheng. "High‐dimensional robust inference for Cox regression models using desparsified Lasso." Scandinavian Journal of Statistics 48, no. 3 (July 19, 2021): 1068–95. http://dx.doi.org/10.1111/sjos.12543.
Повний текст джерелаXue, Yujie, and Masanobu Taniguchi. "Modified LASSO estimators for time series regression models with dependent disturbances." Statistical Methods & Applications 29, no. 4 (January 16, 2020): 845–69. http://dx.doi.org/10.1007/s10260-020-00506-w.
Повний текст джерелаSUDHEER KUMAR, S.D. ATTRI, and K.K. SINGH. "Comparison of Lasso and stepwise regression technique for wheat yield prediction." Journal of Agrometeorology 21, no. 2 (November 10, 2021): 188–92. http://dx.doi.org/10.54386/jam.v21i2.231.
Повний текст джерелаUsman, M., S. I. S. Doguwa, and B. B. Alhaji. "Comparing the Prediction Accuracy of Ridge, Lasso and Elastic Net Regression Models with Linear Regression Using Breast Cancer Data." Bayero Journal of Pure and Applied Sciences 14, no. 2 (July 6, 2022): 134–49. http://dx.doi.org/10.4314/bajopas.v14i2.16.
Повний текст джерелаGreenwood, Christopher J., George J. Youssef, Primrose Letcher, Jacqui A. Macdonald, Lauryn J. Hagg, Ann Sanson, Jenn Mcintosh, et al. "A comparison of penalised regression methods for informing the selection of predictive markers." PLOS ONE 15, no. 11 (November 20, 2020): e0242730. http://dx.doi.org/10.1371/journal.pone.0242730.
Повний текст джерелаKayanan, Manickavasagar, and Pushpakanthie Wijekoon. "Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model." Journal of Probability and Statistics 2020 (March 30, 2020): 1–7. http://dx.doi.org/10.1155/2020/7352097.
Повний текст джерелаTajuddeen, Ibrahim, Seyed Masoud Sajjadian, and Mina Jafari. "Regression Models for Predicting the Global Warming Potential of Thermal Insulation Materials." Buildings 13, no. 1 (January 9, 2023): 171. http://dx.doi.org/10.3390/buildings13010171.
Повний текст джерелаSong, Min, Minhyuk Lee, Taesung Park, and Mira Park. "MP-LASSO chart: a multi-level polar chart for visualizing group LASSO analysis of genomic data." Genomics & Informatics 20, no. 4 (December 31, 2022): e48. http://dx.doi.org/10.5808/gi.22075.
Повний текст джерелаTakada, Masaaki, Taiji Suzuki, and Hironori Fujisawa. "Independently Interpretable Lasso for Generalized Linear Models." Neural Computation 32, no. 6 (June 2020): 1168–221. http://dx.doi.org/10.1162/neco_a_01279.
Повний текст джерелаBanerjee, Prithish, Broti Garai, Himel Mallick, Shrabanti Chowdhury, and Saptarshi Chatterjee. "A Note on the Adaptive LASSO for Zero-Inflated Poisson Regression." Journal of Probability and Statistics 2018 (December 30, 2018): 1–9. http://dx.doi.org/10.1155/2018/2834183.
Повний текст джерелаGeraldo-Campos, Luis Alberto, Juan J. Soria, and Tamara Pando-Ezcurra. "Machine Learning for Credit Risk in the Reactive Peru Program: A Comparison of the Lasso and Ridge Regression Models." Economies 10, no. 8 (July 30, 2022): 188. http://dx.doi.org/10.3390/economies10080188.
Повний текст джерелаPatil, Abhijeet R., and Sangjin Kim. "Combination of Ensembles of Regularized Regression Models with Resampling-Based Lasso Feature Selection in High Dimensional Data." Mathematics 8, no. 1 (January 10, 2020): 110. http://dx.doi.org/10.3390/math8010110.
Повний текст джерелаLiu, Feng, and David Pitt. "Application of bivariate negative binomial regression model in analysing insurance count data." Annals of Actuarial Science 11, no. 2 (May 4, 2017): 390–411. http://dx.doi.org/10.1017/s1748499517000070.
Повний текст джерелаMeynet, Caroline. "Anℓ1-oracle inequality for the Lasso in finite mixture Gaussian regression models". ESAIM: Probability and Statistics 17 (2013): 650–71. http://dx.doi.org/10.1051/ps/2012016.
Повний текст джерелаLloyd-Jones, Luke R., Hien D. Nguyen, and Geoffrey J. McLachlan. "A globally convergent algorithm for lasso-penalized mixture of linear regression models." Computational Statistics & Data Analysis 119 (March 2018): 19–38. http://dx.doi.org/10.1016/j.csda.2017.09.003.
Повний текст джерелаZhang, Bingwen, Jun Geng, and Lifeng Lai. "Multiple Change-Points Estimation in Linear Regression Models via Sparse Group Lasso." IEEE Transactions on Signal Processing 63, no. 9 (May 2015): 2209–24. http://dx.doi.org/10.1109/tsp.2015.2411220.
Повний текст джерелаXu, Dengke, and Niansheng Tang. "Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data." Communications in Statistics - Simulation and Computation 48, no. 9 (January 12, 2019): 2727–42. http://dx.doi.org/10.1080/03610918.2018.1468452.
Повний текст джерелаHe, Yuxin, Yang Zhao, and Kwok Leung Tsui. "Exploring influencing factors on transit ridership from a local perspective." Smart and Resilient Transport 1, no. 1 (May 14, 2019): 2–16. http://dx.doi.org/10.1108/srt-06-2019-0002.
Повний текст джерелаBröcker, Jochen. "Regularized Logistic Models for Probabilistic Forecasting and Diagnostics." Monthly Weather Review 138, no. 2 (February 1, 2010): 592–604. http://dx.doi.org/10.1175/2009mwr3126.1.
Повний текст джерелаKaushik, Sakshi, Alka Sabharwal, and Gurprit Grover. "Extracting relevant predictors of the severity of mental illnesses from clinical information using regularisation regression models." Statistics in Transition New Series 23, no. 2 (June 1, 2022): 129–52. http://dx.doi.org/10.2478/stattrans-2022-0020.
Повний текст джерелаDing, Zhikun, Zhan Wang, Ting Hu, and Huilong Wang. "A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building." Buildings 12, no. 10 (October 16, 2022): 1701. http://dx.doi.org/10.3390/buildings12101701.
Повний текст джерелаLi, Shanshan, Jian Yu, Huimin Kang, and Jianfeng Liu. "Genomic Selection in Chinese Holsteins Using Regularized Regression Models for Feature Selection of Whole Genome Sequencing Data." Animals 12, no. 18 (September 14, 2022): 2419. http://dx.doi.org/10.3390/ani12182419.
Повний текст джерелаUniejewski, Bartosz, and Rafał Weron. "Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models." Energies 11, no. 8 (August 6, 2018): 2039. http://dx.doi.org/10.3390/en11082039.
Повний текст джерелаYuan, Lei-Ming, Xiaofeng Yang, Xueping Fu, Jiao Yang, Xi Chen, Guangzao Huang, Xiaojing Chen, Limin Li, and Wen Shi. "Consensual Regression of Lasso-Sparse PLS Models for Near-Infrared Spectra of Food." Agriculture 12, no. 11 (October 29, 2022): 1804. http://dx.doi.org/10.3390/agriculture12111804.
Повний текст джерелаRaeisi Shahraki, Hadi, Saeedeh Pourahmad, and Seyyed Mohammad Taghi Ayatollahi. "Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran." Journal of Environmental and Public Health 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7620157.
Повний текст джерелаLi, Fuhai, Hui Xin, Jidong Zhang, Mingqiang Fu, Jingmin Zhou, and Zhexun Lian. "Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database." BMJ Open 11, no. 7 (July 2021): e044779. http://dx.doi.org/10.1136/bmjopen-2020-044779.
Повний текст джерелаGilbraith, William E., J. Chance Carter, Kristl L. Adams, Karl S. Booksh, and Joshua M. Ottaway. "Improving Prediction of Peroxide Value of Edible Oils Using Regularized Regression Models." Molecules 26, no. 23 (November 30, 2021): 7281. http://dx.doi.org/10.3390/molecules26237281.
Повний текст джерелаDeng, Hao, Jianghong Chen, Biqin Song, and Zhibin Pan. "Error Bound of Mode-Based Additive Models." Entropy 23, no. 6 (May 22, 2021): 651. http://dx.doi.org/10.3390/e23060651.
Повний текст джерелаJovanovic, Milos, Sandro Radovanovic, Milan Vukicevic, Sven Van Poucke, and Boris Delibasic. "Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression." Artificial Intelligence in Medicine 72 (September 2016): 12–21. http://dx.doi.org/10.1016/j.artmed.2016.07.003.
Повний текст джерелаKimmatkar, N. V., and B. Vijaya Babu. "Human Emotion Detection with Electroencephalography Signals and Accuracy Analysis Using Feature Fusion Techniques and a Multimodal Approach for Multiclass Classification." Engineering, Technology & Applied Science Research 12, no. 4 (August 1, 2022): 9012–17. http://dx.doi.org/10.48084/etasr.5073.
Повний текст джерелаMuchisha, Nadya Dwi, Novian Tamara, Andriansyah Andriansyah, and Agus M. Soleh. "Nowcasting Indonesia’s GDP Growth Using Machine Learning Algorithms." Indonesian Journal of Statistics and Its Applications 5, no. 2 (June 30, 2021): 355–68. http://dx.doi.org/10.29244/ijsa.v5i2p355-368.
Повний текст джерелаAronsson, Linus, Roland Andersson, and Daniel Ansari. "Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas." PLOS ONE 16, no. 3 (March 25, 2021): e0249206. http://dx.doi.org/10.1371/journal.pone.0249206.
Повний текст джерелаMahalani, Annisa Juwita, and Nur Azizah Komara Rifai. "Least Absolute Shrinkage and Selection Operator (LASSO) untuk Mengatasi Multikolinearitas pada Model Regresi Linear Berganda." Bandung Conference Series: Statistics 2, no. 2 (July 28, 2022): 119–25. http://dx.doi.org/10.29313/bcss.v2i2.3438.
Повний текст джерелаPrzednowek, Krzysztof, Zbigniew Barabasz, Maria Zadarko-Domaradzka, Karolina Przednowek, Edyta Nizioł-Babiarz, Maciej Huzarski, Klaudia Sibiga, Bartosz Dziadek, and Emilian Zadarko. "Predictive Modeling of VO2max Based on 20 m Shuttle Run Test for Young Healthy People." Applied Sciences 8, no. 11 (November 10, 2018): 2213. http://dx.doi.org/10.3390/app8112213.
Повний текст джерелаXie, Xiaodong, and Shaozhi Zheng. "Group MCP for Cox Models with Time-Varying Coefficients." Journal of Systems Science and Information 4, no. 5 (October 25, 2016): 476–88. http://dx.doi.org/10.21078/jssi-2016-476-13.
Повний текст джерелаOrnstein, Joseph T. "Stacked Regression and Poststratification." Political Analysis 28, no. 2 (December 23, 2019): 293–301. http://dx.doi.org/10.1017/pan.2019.43.
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