{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:45:11Z","timestamp":1740123911652,"version":"3.37.3"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T00:00:00Z","timestamp":1633737600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T00:00:00Z","timestamp":1633737600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s11222-021-10053-3","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:44:31Z","timestamp":1633902271000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detecting conflicting summary statistics in likelihood-free inference"],"prefix":"10.1007","volume":"31","author":[{"given":"Yinan","family":"Mao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueou","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David J.","family":"Nott","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Evans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,9]]},"reference":[{"issue":"3","key":"10053_CR1","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1023\/A:1024025027522","volume":"5","author":"CW Anderson","year":"2002","unstructured":"Anderson, C.W., Coles, S.G.: The largest inclusions in a piece of steel. Extremes 5(3), 237\u2013252 (2002)","journal-title":"Extremes"},{"key":"10053_CR2","first-page":"322","volume":"22","author":"MJ Bayarri","year":"2007","unstructured":"Bayarri, M.J., Castellanos, M.E.: Bayesian checking of the second levels of hierarchical models. Stat. Sci. 22, 322\u2013343 (2007)","journal-title":"Stat. Sci."},{"key":"10053_CR3","doi-asserted-by":"publisher","first-page":"2025","DOI":"10.1093\/genetics\/162.4.2025","volume":"162","author":"MA Beaumont","year":"2002","unstructured":"Beaumont, M.A., Zhang, W., Balding, D.J.: Approximate Bayesian computation in population genetics. Genetics 162, 2025\u20132035 (2002)","journal-title":"Genetics"},{"issue":"5","key":"10053_CR4","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1111\/rssb.12158","volume":"78","author":"PG Bissiri","year":"2016","unstructured":"Bissiri, P.G., Holmes, C.C., Walker, S.G.: A general framework for updating belief distributions. J. R. Stat. Soc.: Ser. B (Statistical Methodology) 78(5), 1103\u20131130 (2016)","journal-title":"J. R. Stat. Soc.: Ser. B (Statistical Methodology)"},{"key":"10053_CR5","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s11222-009-9116-0","volume":"20","author":"MGB Blum","year":"2010","unstructured":"Blum, M.G.B., Fran\u00e7ois, O.: Non-linear regression models for approximate Bayesian computation. Stat. Comput. 20, 63\u201375 (2010)","journal-title":"Stat. Comput."},{"issue":"2","key":"10053_CR6","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1214\/12-STS406","volume":"28","author":"MGB Blum","year":"2013","unstructured":"Blum, M.G.B., Nunes, M.A., Prangle, D., Sisson, S.A.: A comparative review of dimension reduction methods in approximate Bayesian computation. Stat. Sci. 28(2), 189\u2013208 (2013)","journal-title":"Stat. Sci."},{"issue":"477","key":"10053_CR7","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1198\/016214506000000988","volume":"102","author":"P Bortot","year":"2007","unstructured":"Bortot, P., Coles, S., Sisson, S.: Inference for stereological extremes. J. Am. Stat. Assoc. 102(477), 84\u201392 (2007)","journal-title":"J. Am. Stat. Assoc."},{"key":"10053_CR8","doi-asserted-by":"publisher","first-page":"383","DOI":"10.2307\/2982063","volume":"143","author":"GEP Box","year":"1980","unstructured":"Box, G.E.P.: Sampling and Bayes inference in scientific modelling and robustness (with discussion). J. R. Stat. Soc. Ser. A 143, 383\u2013430 (1980)","journal-title":"J. R. Stat. Soc. Ser. A"},{"issue":"3","key":"10053_CR9","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1111\/j.2041-210X.2011.00179.x","volume":"3","author":"K Csill\u00e9ry","year":"2012","unstructured":"Csill\u00e9ry, K., Franc\u00e7ois, O., Blum, M.G.B.: abc: an R package for approximate Bayesian computation (ABC). Methods Ecol. Evol. 3(3), 475\u2013479 (2012)","journal-title":"Methods Ecol. Evol."},{"key":"10053_CR10","unstructured":"Dinev, T., Gutmann, M.: Dynamic likelihood-free inference via ratio estimation (DIRE). arXiv:1810.09899 (2018)"},{"issue":"1","key":"10053_CR11","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1214\/14-STS498","volume":"30","author":"CC Drovandi","year":"2015","unstructured":"Drovandi, C.C., Pettitt, A.N., Lee, A.: Bayesian indirect inference using a parametric auxiliary model. Stat. Sci. 30(1), 72\u201395 (2015)","journal-title":"Stat. Sci."},{"key":"10053_CR12","unstructured":"Erhardt, R., Sisson, S.A.: Modelling extremes using approximate Bayesian computation. In: Dey, D., Yan, J. (eds.) Extreme Value Modelling and Risk Analysis, pp. 281\u2013306. Chapman and Hall\/CRC (2016)"},{"key":"10053_CR13","doi-asserted-by":"crossref","unstructured":"Evans, M.: Measuring Statistical Evidence Using Relative Belief. Taylor & Francis (2015)","DOI":"10.1201\/b18587"},{"key":"10053_CR14","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1214\/06-BA129","volume":"1","author":"M Evans","year":"2006","unstructured":"Evans, M., Moshonov, H.: Checking for prior-data conflict. Bayesian Anal. 1, 893\u2013914 (2006)","journal-title":"Bayesian Anal."},{"issue":"2","key":"10053_CR15","first-page":"264","volume":"36","author":"J Fan","year":"2021","unstructured":"Fan, J., Ma, C., Zhong, Y.: A selective overview of deep learning. Stat. Sci. 36(2), 264\u2013290 (2021)","journal-title":"Stat. Sci."},{"issue":"1","key":"10053_CR16","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1002\/sta4.15","volume":"2","author":"Y Fan","year":"2013","unstructured":"Fan, Y., Nott, D.J., Sisson, S.A.: Approximate Bayesian computation via regression density estimation. Stat 2(1), 34\u201348 (2013). https:\/\/doi.org\/10.1002\/sta4.15","journal-title":"Stat"},{"key":"10053_CR17","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1214\/15-STS534","volume":"31","author":"M Fasiolo","year":"2016","unstructured":"Fasiolo, M., Pya, N., Wood, S.N.: A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology. Stat. Sci. 31, 96\u2013118 (2016)","journal-title":"Stat. Sci."},{"key":"10053_CR18","doi-asserted-by":"crossref","unstructured":"Frazier, D.T., Drovandi, C.: Robust approximate Bayesian inference with synthetic likelihood. J. Comput. Gr. Stat. (2021). (to Appear)","DOI":"10.1080\/10618600.2021.1875839"},{"key":"10053_CR19","unstructured":"Frazier, D.T., Drovandi, C., Loaiza-Maya, R.: (2020a) Robust approximate Bayesian computation: an adjustment approach. arXiv preprint arXiv:2008.04099"},{"issue":"2","key":"10053_CR20","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1111\/rssb.12356","volume":"82","author":"DT Frazier","year":"2020","unstructured":"Frazier, D.T., Robert, C.P., Rousseau, J.: Model misspecification in approximate Bayesian computation: consequences and diagnostics. J. R. Stat. Soc.: Ser. B (Statistical Methodology) 82(2), 421\u2013444 (2020b)","journal-title":"J. R. Stat. Soc.: Ser. B (Statistical Methodology)"},{"key":"10053_CR21","first-page":"733","volume":"6","author":"A Gelman","year":"1996","unstructured":"Gelman, A., Meng, X.L., Stern, H.: Posterior predictive assessment of model fitness via realized discrepancies. Stat. Sin. 6, 733\u2013807 (1996)","journal-title":"Stat. Sin."},{"key":"10053_CR22","unstructured":"Gelman, A., Vehtari, A., Simpson, D., Margossian, C.C., Carpenter, B., Yao, Y., Kennedy, L., Gabry, J., B\u00fcrkner, P.C., Modr\u00e1k, M.: Bayesian workflow. arXiv:2011.01808 (2020)"},{"key":"10053_CR23","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1038\/287017a0","volume":"287","author":"W Gurney","year":"1980","unstructured":"Gurney, W., Blythe, S., Nisbet, R.: Nicholsons blowflies revisited. Nature 287, 17\u201321 (1980)","journal-title":"Nature"},{"key":"10053_CR24","doi-asserted-by":"publisher","first-page":"2800","DOI":"10.1214\/17-EJS1302","volume":"11","author":"R Izbicki","year":"2017","unstructured":"Izbicki, R., Lee, A.B.: Converting high-dimensional regression to high-dimensional conditional density estimation. Electron. J. Stat. 11, 2800\u20132831 (2017)","journal-title":"Electron. J. Stat."},{"key":"10053_CR25","doi-asserted-by":"crossref","unstructured":"Izbicki, R., Lee, A.B., Pospisil, T.: ABC\u2013CDE: toward approximate Bayesian computation with complex high-dimensional data and limited simulations. J. Comput. Gr. Stat. (2019). (to appear)","DOI":"10.1080\/10618600.2018.1546594"},{"key":"10053_CR26","doi-asserted-by":"publisher","first-page":"26","DOI":"10.2202\/1544-6115.1389","volume":"7","author":"P Joyce","year":"2008","unstructured":"Joyce, P., Marjoram, P.: Approximately sufficient statistics and Bayesian computation. Stat. Appl. Genet. Mol. Biol. 7, 26 (2008). https:\/\/doi.org\/10.2202\/1544-6115.1389","journal-title":"Stat. Appl. Genet. Mol. Biol."},{"issue":"2","key":"10053_CR27","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1080\/10618600.2020.1807996","volume":"30","author":"N Klein","year":"2021","unstructured":"Klein, N., Nott, D.J., Smith, M.S.: Marginally calibrated deep distributional regression. J. Comput. Gr. Stat. 30(2), 467\u2013483 (2021)","journal-title":"J. Comput. Gr. Stat."},{"key":"10053_CR28","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.csda.2016.07.005","volume":"106","author":"J Li","year":"2017","unstructured":"Li, J., Nott, D.J., Fan, Y., Sisson, S.A.: Extending approximate Bayesian computation methods to high dimensions via Gaussian copula. Comput. Stat. Data Anal. 106, 77\u201389 (2017)","journal-title":"Comput. Stat. Data Anal."},{"issue":"2","key":"10053_CR29","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1093\/biomet\/asx081","volume":"105","author":"W Li","year":"2018","unstructured":"Li, W., Fearnhead, P.: Convergence of regression-adjusted approximate Bayesian computation. Biometrika 105(2), 301\u2013318 (2018)","journal-title":"Biometrika"},{"issue":"6","key":"10053_CR30","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1007\/s11222-011-9288-2","volume":"22","author":"JM Marin","year":"2012","unstructured":"Marin, J.M., Pudlo, P., Robert, C.P., Ryder, R.J.: Approximate Bayesian computational methods. Stat. Comput. 22(6), 1167\u20131180 (2012)","journal-title":"Stat. Comput."},{"key":"10053_CR31","unstructured":"Mayer, M.: missRanger: Fast Imputation of Missing Values. (2019). https:\/\/CRAN.R-project.org\/package=missRanger, r package version 2.1.0"},{"key":"10053_CR32","first-page":"983","volume":"7","author":"N Meinshausen","year":"2006","unstructured":"Meinshausen, N.: Quantile regression forests. J. Mach. Learn. Res. 7, 983\u2013999 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"10053_CR33","doi-asserted-by":"publisher","first-page":"207","DOI":"10.32614\/RJ-2017-009","volume":"9","author":"S Moritz","year":"2017","unstructured":"Moritz, S., Bartz-Beielstein, T.: imputeTS: Time Series Missing Value Imputation in R. R J. 9(1), 207\u2013218 (2017). https:\/\/doi.org\/10.32614\/RJ-2017-009","journal-title":"R J."},{"issue":"1","key":"10053_CR34","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1071\/ZO9540009","volume":"2","author":"A Nicholson","year":"1954","unstructured":"Nicholson, A.: An outline of the dynamics of animal populations. Aust. J. Zool. 2(1), 9\u201365 (1954)","journal-title":"Aust. J. Zool."},{"issue":"2","key":"10053_CR35","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1214\/19-STS731","volume":"35","author":"DJ Nott","year":"2020","unstructured":"Nott, D.J., Wang, X., Evans, M., Englert, B.G.: Checking for prior-data conflict using prior-to-posterior divergences. Stat. Sci. 35(2), 234\u2013253 (2020)","journal-title":"Stat. Sci."},{"key":"10053_CR36","unstructured":"Papamakarios, G., Murray, I.: Fast $$\\epsilon $$-free inference of simulation models with Bayesian conditional density estimation. In: Lee, D.D., Sugiyama, M., Luxburg, U.V., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 29, pp. 1028\u20131036. Curran Associates Inc (2016)"},{"key":"10053_CR37","unstructured":"Papamakarios, G., Sterratt, D., Murray, I.: Sequential neural likelihood: fast likelihood-free inference with autoregressive flows. In: Chaudhuri, K., Sugiyama, M. (eds.), Proceedings of Machine Learning Research, vol. 89, pp. 837\u2013848 (2019)"},{"issue":"4","key":"10053_CR38","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1214\/17-BA1082","volume":"12","author":"NG Polson","year":"2017","unstructured":"Polson, N.G., Sokolov, V.: Deep learning: a Bayesian perspective. Bayesian Anal. 12(4), 1275\u20131304 (2017)","journal-title":"Bayesian Anal."},{"key":"10053_CR39","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1214\/13-STS426","volume":"28","author":"AM Presanis","year":"2013","unstructured":"Presanis, A.M., Ohlssen, D., Spiegelhalter, D.J., Angelis, D.D.: Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis. Stat. Sci. 28, 376\u2013397 (2013)","journal-title":"Stat. Sci."},{"issue":"1","key":"10053_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10618600.2017.1302882","volume":"27","author":"LF Price","year":"2018","unstructured":"Price, L.F., Drovandi, C.C., Lee, A.C., Nott, D.J.: Bayesian synthetic likelihood. J. Comput. Gr. Stat. 27(1), 1\u201311 (2018)","journal-title":"J. Comput. Gr. Stat."},{"issue":"3","key":"10053_CR41","doi-asserted-by":"crossref","first-page":"e1301","DOI":"10.1002\/widm.1301","volume":"9","author":"P Probst","year":"2019","unstructured":"Probst, P., Wright, M.N., Boulesteix, A.L.: Hyperparameters and tuning strategies for random forest. WIREs Data Min. Knowl. Discov. 9(3), e1301 (2019)","journal-title":"WIREs Data Min. Knowl. Discov."},{"issue":"26","key":"10053_CR42","doi-asserted-by":"publisher","first-page":"10576","DOI":"10.1073\/pnas.0807882106","volume":"106","author":"O Ratmann","year":"2009","unstructured":"Ratmann, O., Andrieu, C., Wiuf, C., Richardson, S.: Model criticism based on likelihood-free inference, with an application to protein network evolution. Proc. Natl. Acad. Sci. 106(26), 10576\u201310581 (2009)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10053_CR43","unstructured":"Ratmann, O., Pudlo, P., Richardson, S., Robert, C.: Monte Carlo algorithms for model assessment via conflicting summaries. arXiv preprint arXiv:1106.5919 (2011)"},{"issue":"10","key":"10053_CR44","doi-asserted-by":"publisher","first-page":"1720","DOI":"10.1093\/bioinformatics\/bty867","volume":"35","author":"L Raynal","year":"2018","unstructured":"Raynal, L., Marin, J.M., Pudlo, P., Ribatet, M., Robert, C.P., Estoup, A.: ABC random forests for Bayesian parameter inference. Bioinformatics 35(10), 1720\u20131728 (2018)","journal-title":"Bioinformatics"},{"key":"10053_CR45","unstructured":"R\u00e9nyi, A.: On measures of entropy and information. In: Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1: Contributions to the Theory of Statistics, University of California Press, Berkeley, Calif., pp 547\u2013561 (1961)"},{"issue":"5","key":"10053_CR46","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1139\/f54-039","volume":"11","author":"W Ricker","year":"1954","unstructured":"Ricker, W.: Stock and recruitment. J. Fish. Res. Board Canada 11(5), 559\u2013623 (1954)","journal-title":"J. Fish. Res. Board Canada"},{"key":"10053_CR47","unstructured":"Ridgway, J.: Probably approximate Bayesian computation: nonasymptotic convergence of ABC under misspecification. arXiv preprint arXiv:1707.05987 (2017)"},{"issue":"5","key":"10053_CR48","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1109\/TKDE.2007.190734","volume":"20","author":"M Robnik-\u0160ikonja","year":"2008","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Explaining classifications for individual instances. IEEE Trans. Knowl. Data Eng. 20(5), 589\u2013600 (2008)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10053_CR49","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316696","volume-title":"Multiple Imputation for Nonresponse in Surveys","author":"D Rubin","year":"1987","unstructured":"Rubin, D.: Multiple Imputation for Nonresponse in Surveys. Wiley, New York (1987)"},{"key":"10053_CR50","unstructured":"Sisson, S., Fan, Y., Beaumont, M. (eds) Handbook of Approximate Bayesian Computation. Chapman & Hall\/CRC Handbooks of Modern Statistical Methods, CRC Press, Taylor & Francis Group, Boca Raton, Florida (2018a)"},{"key":"10053_CR51","volume-title":"Handbook of Approximate Bayesian Computation, Chapman & Hall\/CRC Handbooks of Modern Statistical Methods, CRC Press","author":"S Sisson","year":"2018","unstructured":"Sisson, S., Fan, Y., Beaumont, M.: Overview of Approximate Bayesian Computation. In: Sisson, S., Fan, Y., Beaumont, M. (eds.) Handbook of Approximate Bayesian Computation, Chapman & Hall\/CRC Handbooks of Modern Statistical Methods, CRC Press. Taylor & Francis Group, Boca Raton, Florida (2018b)"},{"key":"10053_CR52","doi-asserted-by":"crossref","unstructured":"Thomas, O., Pesonen, H.: ao RSL, de\u00a0Lencastre H, Kaski S, Corander J Split-BOLFI for for misspecification-robust likelihood free inference in high dimensions. arXiv preprint arXiv:2002.09377 (2020)","DOI":"10.1214\/20-BA1238"},{"issue":"2","key":"10053_CR53","doi-asserted-by":"publisher","first-page":"107","DOI":"10.4310\/SII.2011.v4.n2.a1","volume":"4","author":"H Tong","year":"2011","unstructured":"Tong, H.: Threshold models in time series analysis\u201430 years on. Stat. Interface 4(2), 107\u2013118 (2011)","journal-title":"Stat. Interface"},{"issue":"3","key":"10053_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v045.i03","volume":"45","author":"S van Buuren","year":"2011","unstructured":"van Buuren, S., Groothuis-Oudshoorn, K.: mice: multivariate imputation by chained equations in R. J. Stat. Softw. 45(3), 1\u201367 (2011)","journal-title":"J. Stat. Softw."},{"issue":"2","key":"10053_CR55","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1515\/sagmb-2013-0010","volume":"12","author":"RD Wilkinson","year":"2013","unstructured":"Wilkinson, R.D.: Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. Stat. Appl. Genet. Mol. Biol. 12(2), 129\u2013141 (2013)","journal-title":"Stat. Appl. Genet. Mol. Biol."},{"key":"10053_CR56","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.1038\/nature09319","volume":"466","author":"SN Wood","year":"2010","unstructured":"Wood, S.N.: Statistical inference for noisy nonlinear ecological dynamic systems. Nature 466, 1102\u20131107 (2010)","journal-title":"Nature"},{"key":"10053_CR57","unstructured":"Zhang, H., Nieto, F.H.: TAR: Bayesian Modeling of Autoregressive Threshold Time Series Models. (2017). https:\/\/CRAN.R-project.org\/package=TAR, r package version 1.0"},{"key":"10053_CR58","unstructured":"Zintgraf, L.M., Cohen, T.S., Adel, T., Welling, M.: Visualizing deep neural network decisions: Prediction difference analysis. In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24\u201326, 2017, Conference Track Proceedings, OpenReview.net, (2017). https:\/\/openreview.net\/forum?id=BJ5UeU9xx"}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-021-10053-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11222-021-10053-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-021-10053-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T20:07:46Z","timestamp":1699646866000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11222-021-10053-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,9]]},"references-count":58,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["10053"],"URL":"https:\/\/doi.org\/10.1007\/s11222-021-10053-3","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"type":"print","value":"0960-3174"},{"type":"electronic","value":"1573-1375"}],"subject":[],"published":{"date-parts":[[2021,10,9]]},"assertion":[{"value":"21 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 September 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2021","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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"78"}}