{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T07:37:32Z","timestamp":1769845052435,"version":"3.49.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T00:00:00Z","timestamp":1722211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T00:00:00Z","timestamp":1722211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Important Natural Science Foundation of Colleges and Universities of Anhui Province","award":["KJ2021A0929"],"award-info":[{"award-number":["KJ2021A0929"]}]},{"name":"Important Natural Science Foundation of Colleges and Universities of Anhui Province","award":["KJ2021A0930"],"award-info":[{"award-number":["KJ2021A0930"]}]},{"name":"Research Project of Hefei Normal University","award":["2023XTQTZD28"],"award-info":[{"award-number":["2023XTQTZD28"]}]},{"name":"Research Project of Hefei Normal University","award":["2023XTTDZD06"],"award-info":[{"award-number":["2023XTTDZD06"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s11222-024-10472-y","type":"journal-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T15:02:42Z","timestamp":1722265362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Mallows-type model averaging estimator for ridge regression with\u00a0randomly right censored data"],"prefix":"10.1007","volume":"34","author":[{"given":"Jie","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guozhi","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihu","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,29]]},"reference":[{"key":"10472_CR1","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1093\/biomet\/60.2.255","volume":"60","author":"H Akaike","year":"1973","unstructured":"Akaike, H.: Maximum likelihood identification of gaussian autoregressive moving average models. Biometrika 60, 255\u2013265 (1973)","journal-title":"Biometrika"},{"key":"10472_CR2","volume":"12","author":"T Ahmad","year":"2017","unstructured":"Ahmad, T., Munir, A., Bhatti, S.H., Aftab, M., Raza, M.A.: Survival analysis of heart failure patients: a case study. PLoS ONE 12, e0181001 (2017)","journal-title":"PLoS ONE"},{"key":"10472_CR3","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1080\/01621459.2013.838168","volume":"109","author":"T Ando","year":"2014","unstructured":"Ando, T., Li, K.C.: A model-averaging approach for high-dimensional regression. J. Am. Stat. Assoc. 109, 254\u2013265 (2014)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR4","doi-asserted-by":"crossref","first-page":"2654","DOI":"10.1214\/17-AOS1538","volume":"45","author":"T Ando","year":"2017","unstructured":"Ando, T., Li, K.C.: A weight-relaxed model averaging approach for high-dimensional generalized linear models. Ann. Stat. 45, 2654\u20132679 (2017)","journal-title":"Ann. Stat."},{"key":"10472_CR5","doi-asserted-by":"crossref","first-page":"6488","DOI":"10.1016\/j.csda.2007.02.025","volume":"51","author":"Y Bao","year":"2007","unstructured":"Bao, Y., He, S., Mei, C.: The Koul-Susarla-Van Ryzin and weighted least squares estimates for censored linear regression model: a comparative study. Comput. Stat. Data Anal. 51, 6488\u20136497 (2007)","journal-title":"Comput. Stat. Data Anal."},{"key":"10472_CR6","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1017\/S0266466601173032","volume":"17","author":"S Chen","year":"2001","unstructured":"Chen, S., Khan, S.: Semiparametric estimation of a partially linear censored regression model. Economet. Theor. 17, 567\u2013590 (2001)","journal-title":"Economet. Theor."},{"key":"10472_CR7","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1080\/01621459.2017.1302339","volume":"113","author":"J Chen","year":"2018","unstructured":"Chen, J., Li, D., Linton, O., Lu, Z.: Semiparametric ultra-high dimensional model averaging of nonlinear dynamic time series. J. Am. Stat. Assoc. 113, 919\u2013932 (2018)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12911-020-1023-5","volume":"20","author":"D Chicco","year":"2020","unstructured":"Chicco, D., Jurman, G.: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Med. Inform. Decis. Mak. 20, 1\u201316 (2020)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"10472_CR9","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1198\/016214503000000819","volume":"98","author":"G Claeskens","year":"2003","unstructured":"Claeskens, G., Hjort, N.L.: The focused information criterion. J. Am. Stat. Assoc. 98, 900\u2013916 (2003)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR10","doi-asserted-by":"crossref","DOI":"10.1016\/j.csda.2023.107743","volume":"184","author":"Q Dong","year":"2023","unstructured":"Dong, Q., Liu, B., Zhao, H.: Weighted least squares model averaging for accelerated failure time models. Comput. Stat. Data Anal. 184, 107743 (2023)","journal-title":"Comput. Stat. Data Anal."},{"key":"10472_CR11","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. Ann. Stat. 32, 407\u2013499 (2004)","journal-title":"Ann. Stat."},{"key":"10472_CR12","doi-asserted-by":"crossref","first-page":"5989","DOI":"10.1080\/03610926.2021.2023573","volume":"52","author":"H Emami","year":"2023","unstructured":"Emami, H., Arzideh, K.: Robust ridge estimator in censored semiparametric linear models. Commun. Stat. Theory Methods 52, 5989\u20136007 (2023)","journal-title":"Commun. Stat. Theory Methods"},{"key":"10472_CR13","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1080\/00401706.1979.10489751","volume":"21","author":"GH Golub","year":"1979","unstructured":"Golub, G.H., Heath, M., Wahba, G.: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, 215\u2013223 (1979)","journal-title":"Technometrics"},{"key":"10472_CR14","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1111\/j.1468-0262.2007.00785.x","volume":"75","author":"BE Hansen","year":"2007","unstructured":"Hansen, B.E.: Least squares model averaging. Econometrica 75, 1175\u20131189 (2007)","journal-title":"Econometrica"},{"key":"10472_CR15","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.jeconom.2011.06.019","volume":"167","author":"BE Hansen","year":"2012","unstructured":"Hansen, B.E., Racine, J.: Jackknife model averaging. J. Econom. 167, 38\u201346 (2012)","journal-title":"J. Econom."},{"key":"10472_CR16","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1360\/02ys0139","volume":"46","author":"S He","year":"2003","unstructured":"He, S., Huang, X.: Central limit theorem of linear regression model under right censorship. Sci. China Ser. A 46, 600\u2013610 (2003)","journal-title":"Sci. China Ser. A"},{"key":"10472_CR17","volume":"230","author":"G Hu","year":"2024","unstructured":"Hu, G., Cheng, W., Zeng, J., Guan, R.: Optimal model averaging for semiparametric partially linear models with measurement errors. J. Stat. Plan. Inference 230, 106101 (2024)","journal-title":"J. Stat. Plan. Inference"},{"key":"10472_CR18","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1080\/00401706.1970.10488635","volume":"12","author":"A Hoerl","year":"1970","unstructured":"Hoerl, A., Kennard, R.: Ridge regression: biased estimation for non-orthogonal problems. Technometrics 12, 69\u201382 (1970)","journal-title":"Technometrics"},{"key":"10472_CR19","doi-asserted-by":"crossref","first-page":"1276","DOI":"10.1214\/aos\/1176345644","volume":"9","author":"H Koul","year":"1981","unstructured":"Koul, H., Susarla, V., Van Ryzin, J.: Regression analysis with randomly right-censored data. Ann. Stat. 9, 1276\u20131288 (1981)","journal-title":"Ann. Stat."},{"key":"10472_CR20","first-page":"958","volume":"15","author":"KC Li","year":"1987","unstructured":"Li, K.C.: Asymptotic optimality for $$C_p$$, $$C_L$$, cross-validation and generalized cross-validation: discrete index set. Ann. Stat. 15, 958\u2013975 (1987)","journal-title":"Ann. Stat."},{"key":"10472_CR21","first-page":"2795","volume":"28","author":"C Li","year":"2018","unstructured":"Li, C., Li, Q., Racine, J., Zhang, D.: Optimal model averaging of varying coefficient models. Stat. Sin. 28, 2795\u20132809 (2018)","journal-title":"Stat. Sin."},{"key":"10472_CR22","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1080\/01621459.2020.1790375","volume":"117","author":"J Li","year":"2022","unstructured":"Li, J., Lv, J., Wan, A.T.K., Liao, J.: Adaboost semiparametric model averaging prediction for multiple categories. J. Am. Stat. Assoc. 117, 495\u2013509 (2022)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR23","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s10255-022-1054-z","volume":"38","author":"Z Liang","year":"2022","unstructured":"Liang, Z., Chen, X., Zhou, Y.: Mallows model averaging estimation for linear regression model with right censored data. Acta Math. Appl. Sin. Engl. Ser. 38, 5\u201323 (2022)","journal-title":"Acta Math. Appl. Sin. Engl. Ser."},{"key":"10472_CR24","doi-asserted-by":"crossref","DOI":"10.1016\/j.csda.2019.106902","volume":"144","author":"J Liao","year":"2020","unstructured":"Liao, J., Zou, G.: Corrected Mallows criterion for model averaging. Comput. Stat. Data Anal. 144, 106902 (2020)","journal-title":"Comput. Stat. Data Anal."},{"key":"10472_CR25","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.jeconom.2018.10.007","volume":"209","author":"J Liao","year":"2019","unstructured":"Liao, J., Zong, X., Zhang, X., Zou, G.: Model averaging based on leave-subject-out cross-validation for vector autoregressions. J. Econom. 209, 35\u201360 (2019a)","journal-title":"J. Econom."},{"key":"10472_CR26","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1002\/cjs.11497","volume":"47","author":"J Liao","year":"2019","unstructured":"Liao, J., Zou, G., Gao, Y.: Spatial Mallows model averaging for geostatistical models. Canad. J. Stat. 47, 336\u2013351 (2019b)","journal-title":"Canad. J. Stat."},{"key":"10472_CR27","doi-asserted-by":"crossref","first-page":"1692","DOI":"10.1080\/07474938.2015.1092817","volume":"35","author":"Q Liu","year":"2016","unstructured":"Liu, Q., Okui, R., Yoshimura, A.: Generalized least squares model averaging. Economet. Rev. 35, 1692\u20131752 (2016)","journal-title":"Economet. Rev."},{"key":"10472_CR28","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1007\/s11424-021-0158-5","volume":"35","author":"Y Liu","year":"2022","unstructured":"Liu, Y., Zou, J., Zhao, S., Yang, Q.: Model averaging estimation for varying-coefficient single-index models. J. Syst. Sci. Complex. 35, 264\u2013282 (2022)","journal-title":"J. Syst. Sci. Complex."},{"key":"10472_CR29","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1111\/j.1467-985X.2005.00366.x","volume":"168","author":"NT Longford","year":"2005","unstructured":"Longford, N.T.: Editorial: Model selection and efficiency-is \u2018which model ...?\u2019 the right question? J. R. Stat. Soc. Ser. A 168, 469\u2013472 (2005)","journal-title":"J. R. Stat. Soc. Ser. A"},{"key":"10472_CR30","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.jeconom.2014.11.005","volume":"188","author":"X Lu","year":"2015","unstructured":"Lu, X., Su, L.: Jackknife model averaging for quantile regressions. J. Econom. 188, 40\u201358 (2015)","journal-title":"J. Econom."},{"key":"10472_CR31","first-page":"661","volume":"15","author":"CL Mallows","year":"1973","unstructured":"Mallows, C.L.: Some comments on $$C_p$$. Technometrics 15, 661\u2013675 (1973)","journal-title":"Technometrics"},{"key":"10472_CR32","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.jeconom.2020.12.003","volume":"229","author":"J Peng","year":"2022","unstructured":"Peng, J., Yang, Y.: On improvability of model selection by model averaging. J. Econom. 229, 246\u2013262 (2022)","journal-title":"J. Econom."},{"key":"10472_CR33","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1080\/07350015.2022.2118126","volume":"41","author":"J Racine","year":"2023","unstructured":"Racine, J., Li, Q., Yu, D., Zheng, L.: Optimal model averaging of mixed-data kernel-weighted spline regressions. J. Bus. Econ. Stat. 41, 1251\u20131261 (2023)","journal-title":"J. Bus. Econ. Stat."},{"key":"10472_CR34","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1007\/s00362-011-0405-2","volume":"53","author":"M Schomaker","year":"2012","unstructured":"Schomaker, M.: Shrinkage averaging estimation. Stat. Pap. 53, 1015\u20131034 (2012)","journal-title":"Stat. Pap."},{"key":"10472_CR35","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 461\u2013464 (1978)","journal-title":"Ann. Stat."},{"key":"10472_CR36","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1080\/07350015.2020.1870479","volume":"40","author":"L Seng","year":"2022","unstructured":"Seng, L., Li, J.: Structural equation model averaging: methodology and application. J. Bus. Econ. Stat. 40, 815\u2013828 (2022)","journal-title":"J. Bus. Econ. Stat."},{"key":"10472_CR37","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone, M.: Cross-validation choice and assessment of statistical predictions. J. Roy. Stat. Soc. B 36, 111\u2013147 (1974)","journal-title":"J. Roy. Stat. Soc. B"},{"key":"10472_CR38","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1006\/jmva.1993.1028","volume":"45","author":"W Stute","year":"1993","unstructured":"Stute, W.: Consistent estimation under random censorship when covariables are present. J. Multivar. Anal. 45, 89\u2013103 (1993)","journal-title":"J. Multivar. Anal."},{"key":"10472_CR39","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1016\/j.jeconom.2022.09.007","volume":"235","author":"Y Sun","year":"2023","unstructured":"Sun, Y., Hong, Y., Wang, S., Zhang, X.: Penalized time-varying model averaging. J. Econom. 235, 1355\u20131377 (2023)","journal-title":"J. Econom."},{"key":"10472_CR40","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.jeconom.2009.10.030","volume":"156","author":"ATK Wan","year":"2010","unstructured":"Wan, A.T.K., Zhang, X., Zou, G.: Least squares model averaging by Mallows criterion. J. Econom. 156, 277\u2013283 (2010)","journal-title":"J. Econom."},{"key":"10472_CR41","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1111\/j.1541-0420.2007.00877.x","volume":"64","author":"S Wang","year":"2008","unstructured":"Wang, S., Nan, B., Zhu, J., Beer, D.G.: Doubly penalized Buckley-James method for survival data with high-dimensional covariates. Biometrics 64, 132\u2013140 (2008)","journal-title":"Biometrics"},{"key":"10472_CR42","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1111\/biom.13574","volume":"79","author":"M Wang","year":"2023","unstructured":"Wang, M., Zhang, X., Wan, A.T.K., You, K., Zou, G.: Jackknife model averaging for high-dimensional quantile regression. Biometrics 79, 178\u2013189 (2023)","journal-title":"Biometrics"},{"key":"10472_CR43","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1007\/s10463-020-00759-y","volume":"73","author":"Y Wei","year":"2021","unstructured":"Wei, Y., Wang, Q., Liu, W.: Model averaging for linear models with responses missing at random. Ann. Inst. Stat. Math. 73, 535\u2013553 (2021)","journal-title":"Ann. Inst. Stat. Math."},{"key":"10472_CR44","doi-asserted-by":"crossref","first-page":"2885","DOI":"10.1007\/s00362-020-01218-9","volume":"62","author":"X Xia","year":"2021","unstructured":"Xia, X.: Model averaging prediction for nonparametric varying-coefficient models with B-spline smoothing. Stat. Pap. 62, 2885\u20132905 (2021)","journal-title":"Stat. Pap."},{"key":"10472_CR45","first-page":"1005","volume":"31","author":"J Xie","year":"2021","unstructured":"Xie, J., Yan, X., Tang, N.: A model-averaging method for high-dimensional regression with missing responses at random. Stat. Sin. 31, 1005\u20131026 (2021)","journal-title":"Stat. Sin."},{"key":"10472_CR46","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1016\/j.ijforecast.2020.12.004","volume":"37","author":"X Yan","year":"2021","unstructured":"Yan, X., Wang, H., Wang, W., Xie, J., Ren, Y., Wang, X.: Optimal model averaging forecasting in high-dimensional survival analysis. Int. J. Forecast. 37, 1147\u20131155 (2021)","journal-title":"Int. J. Forecast."},{"key":"10472_CR47","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1198\/016214505000000088","volume":"100","author":"Z Yuan","year":"2005","unstructured":"Yuan, Z., Yang, Y.: Combining linear regression models: when and how? J. Am. Stat. Assoc. 100, 1202\u20131214 (2005)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR48","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/07474938.2023.2280825","volume":"43","author":"C Yuan","year":"2024","unstructured":"Yuan, C., Fang, F., Li, J.: Model averaging for generalized linear models in diverging model spaces with effective model size. Econom. Rev. 43, 71\u201396 (2024)","journal-title":"Econom. Rev."},{"key":"10472_CR49","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1080\/07474938.2023.2292377","volume":"43","author":"D Yu","year":"2024","unstructured":"Yu, D., Lian, H., Sun, Y., Zhang, X., Hong, Y.: Post-averaging inference for optimal model averaging estimator in generalized linear models. Econom. Rev. 43, 98\u2013122 (2024)","journal-title":"Econom. Rev."},{"key":"10472_CR50","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1093\/biomet\/asw013","volume":"103","author":"D Zeng","year":"2016","unstructured":"Zeng, D., Mao, L., Lin, D.Y.: Maximum likelihood estimation for semiparametric transformation models with interval-censored data. Biometrika 103, 253\u2013271 (2016)","journal-title":"Biometrika"},{"key":"10472_CR51","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1017\/S0266466618000269","volume":"35","author":"X Zhang","year":"2019","unstructured":"Zhang, X., Liu, C.A.: Inference after model averaging in linear regression models. Econom. Theor. 35, 816\u2013841 (2019)","journal-title":"Econom. Theor."},{"key":"10472_CR52","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.jeconom.2022.04.007","volume":"235","author":"X Zhang","year":"2023","unstructured":"Zhang, X., Liu, C.A.: Model averaging prediction by K-fold cross-validation. J. Econom. 235, 280\u2013301 (2023)","journal-title":"J. Econom."},{"key":"10472_CR53","first-page":"693","volume":"29","author":"X Zhang","year":"2019","unstructured":"Zhang, X., Wang, W.: Optimal model averaging estimation for partially linear models. Stat. Sin. 29, 693\u2013718 (2019)","journal-title":"Stat. Sin."},{"key":"10472_CR54","doi-asserted-by":"crossref","DOI":"10.1016\/j.jeconom.2022.03.010","volume":"237","author":"X Zhang","year":"2023","unstructured":"Zhang, X., Zhang, X.: Optimal model averaging based on forward-validation. J. Econom. 237, 105295 (2023)","journal-title":"J. Econom."},{"key":"10472_CR55","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.jeconom.2013.01.004","volume":"174","author":"X Zhang","year":"2013","unstructured":"Zhang, X., Wan, A.T.K., Zou, G.: Model averaging by jackknife criterion in models with dependent data. J. Econom. 174, 82\u201394 (2013)","journal-title":"J. Econom."},{"key":"10472_CR56","doi-asserted-by":"crossref","first-page":"1775","DOI":"10.1080\/01621459.2015.1115762","volume":"111","author":"X Zhang","year":"2016","unstructured":"Zhang, X., Yu, D., Zou, G., Liang, H.: Optimal model averaging estimation for generalized linear models and generalized linear mixed-effects models. J. Am. Stat. Assoc. 111, 1775\u20131790 (2016)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR57","first-page":"945","volume":"105","author":"X Zhang","year":"2018","unstructured":"Zhang, X., Chiou, J.M., Ma, Y.: Functional prediction through averaging estimated functional linear regression models. Biometrika 105, 945\u2013962 (2018)","journal-title":"Biometrika"},{"key":"10472_CR58","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1111\/rssb.12317","volume":"81","author":"X Zhang","year":"2019","unstructured":"Zhang, X., Ma, Y., Carroll, R.J.: MALMEM: model averaging in linear measurement error models. J. Roy. Stat. Soc. B 81, 763\u2013779 (2019)","journal-title":"J. Roy. Stat. Soc. B"},{"key":"10472_CR59","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1080\/01621459.2019.1604363","volume":"115","author":"X Zhang","year":"2020","unstructured":"Zhang, X., Zou, G., Liang, H., Carroll, R.J.: Parsimonious model averaging with a diverging number of parameters. J. Am. Stat. Assoc. 115, 972\u2013984 (2020)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR60","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.econlet.2016.06.011","volume":"145","author":"S Zhao","year":"2016","unstructured":"Zhao, S., Zhang, X., Gao, Y.: Model averaging with averaging covariance matrix. Econ. Lett. 145, 214\u2013217 (2016)","journal-title":"Econ. Lett."},{"key":"10472_CR61","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1080\/01621459.2018.1537922","volume":"115","author":"H Zhao","year":"2020","unstructured":"Zhao, H., Wu, Q., Li, G., Sun, J.: Simultaneous estimation and variable selection for interval-censored data with broken adaptive ridge regression. J. Am. Stat. Assoc. 115, 204\u2013216 (2020a)","journal-title":"J. Am. Stat. Assoc."},{"key":"10472_CR62","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1007\/s00362-018-1002-4","volume":"61","author":"S Zhao","year":"2020","unstructured":"Zhao, S., Liao, J., Yu, D.: Model averaging estimator in ridge regression and its large sample properties. Stat. Pap. 61, 1719\u20131739 (2020b)","journal-title":"Stat. Pap."},{"key":"10472_CR63","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1080\/01621459.2018.1456936","volume":"114","author":"R Zhu","year":"2019","unstructured":"Zhu, R., Wan, A.T.K., Zhang, X., Zou, G.: A Mallows-type model averaging estimator for the varying-coefficient partially linear model. J. Am. Stat. Assoc. 114, 882\u2013892 (2019)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-024-10472-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11222-024-10472-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-024-10472-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T15:06:05Z","timestamp":1727967965000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11222-024-10472-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,29]]},"references-count":63,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["10472"],"URL":"https:\/\/doi.org\/10.1007\/s11222-024-10472-y","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,29]]},"assertion":[{"value":"15 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"159"}}