{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T04:39:29Z","timestamp":1772167169522,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T00:00:00Z","timestamp":1695772800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T00:00:00Z","timestamp":1695772800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"MUR","award":["2022XRHT8R"],"award-info":[{"award-number":["2022XRHT8R"]}]},{"DOI":"10.13039\/100031478","name":"Next Generation EU","doi-asserted-by":"crossref","award":["PE0000018"],"award-info":[{"award-number":["PE0000018"]}],"id":[{"id":"10.13039\/100031478","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2018-04444"],"award-info":[{"award-number":["RGPIN-2018-04444"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005743","name":"Universit\u00e0 Cattolica del Sacro Cuore","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100005743","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical heavy-tailed distributions. They have the advantage of having parameters directly related to the moments of practical interest. We derive two estimation procedures for these mixtures. The first one is based on the majorization-minimization algorithm, while the second is based on a fixed point approximation. Moreover, we introduce parsimonious forms of the considered mixtures and we use the illustrated estimation procedures to fit them. We use simulated and real data sets to investigate various aspects of the proposed models and algorithms.<\/jats:p>","DOI":"10.1007\/s11634-023-00558-2","type":"journal-article","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T15:02:10Z","timestamp":1695826930000},"page":"597-625","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4543-0218","authenticated-orcid":false,"given":"Ryan P.","family":"Browne","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3129-5385","authenticated-orcid":false,"given":"Luca","family":"Bagnato","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7742-1821","authenticated-orcid":false,"given":"Antonio","family":"Punzo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,27]]},"reference":[{"key":"558_CR1","doi-asserted-by":"publisher","DOI":"10.1515\/9781400830244","volume-title":"Optimization algorithms on matrix manifolds","author":"P-A Absil","year":"2008","unstructured":"Absil P-A, Mahony R, Sepulchre R (2008) Optimization algorithms on matrix manifolds. Princeton University Press, Princeton, NJ"},{"key":"558_CR2","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1017\/S0370164600022070","volume":"46","author":"AC Aitken","year":"1926","unstructured":"Aitken AC (1926) On Bernoulli\u2019s numerical solution of algebraic equations. Proc R Soc Edinburgh 46:289\u2013305","journal-title":"Proc R Soc Edinburgh"},{"issue":"5","key":"558_CR3","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1007\/s11222-011-9272-x","volume":"22","author":"JL Andrews","year":"2012","unstructured":"Andrews JL, McNicholas PD (2012) Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions. Stat Comput 22(5):1021\u20131029","journal-title":"Stat Comput"},{"key":"558_CR4","unstructured":"Azzalini A (2015) R package sn: The skew-normal and skew-$$t$$ distributions. Version 1.3-0"},{"key":"558_CR5","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.spl.2015.12.008","volume":"110","author":"A Azzalini","year":"2016","unstructured":"Azzalini A, Browne RP, Genton MG, McNicholas PD (2016) On nomenclature for, and the relative merits of, two formulations of skew distributions. Stat Probab Lett 110:201\u2013206","journal-title":"Stat Probab Lett"},{"issue":"2","key":"558_CR6","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1007\/s00180-020-01041-8","volume":"36","author":"L Bagnato","year":"2021","unstructured":"Bagnato L, Punzo A (2021) Unconstrained representation of orthogonal matrices with application to common principal components. Comput Stat 36(2):1177\u20131195","journal-title":"Comput Stat"},{"issue":"1","key":"558_CR7","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1002\/cjs.11308","volume":"45","author":"L Bagnato","year":"2017","unstructured":"Bagnato L, Punzo A, Zoia MG (2017) The multivariate leptokurtic-normal distribution and its application in model-based clustering. Can J Stat 45(1):95\u2013119","journal-title":"Can J Stat"},{"issue":"2","key":"558_CR8","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1080\/03610926.2020.1751202","volume":"51","author":"L Bagnato","year":"2022","unstructured":"Bagnato L, Punzo A, Zoia MG (2022) Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns. Commun Stat Theory Methods 51(2):486\u2013500","journal-title":"Commun Stat Theory Methods"},{"issue":"3","key":"558_CR9","doi-asserted-by":"publisher","first-page":"803","DOI":"10.2307\/2532201","volume":"49","author":"JD Banfield","year":"1993","unstructured":"Banfield JD, Raftery AE (1993) Model-based Gaussian and non-Gaussian clustering. Biometrics 49(3):803\u2013821","journal-title":"Biometrics"},{"key":"558_CR10","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/BF00533162","volume":"38","author":"O Barndorff-Nielsen","year":"1977","unstructured":"Barndorff-Nielsen O, Halgreen C (1977) Infinite divisibility of the hyperbolic and generalized inverse Gaussian distributions. Zeitschrift f\u00fcr Wahrscheinlichkeitstheorie und Verwandte Gebiete 38:309\u2013311","journal-title":"Zeitschrift f\u00fcr Wahrscheinlichkeitstheorie und Verwandte Gebiete"},{"key":"558_CR11","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/BF01720593","volume":"46","author":"D B\u00f6hning","year":"1994","unstructured":"B\u00f6hning D, Dietz E, Schaub R, Schlattmann P, Lindsay B (1994) The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family. Ann Inst Stat Math 46:373\u2013388","journal-title":"Ann Inst Stat Math"},{"key":"558_CR12","unstructured":"Bouveyron C, Celeux G, Murphy TB, Raftery AE (2019) Model-based clustering and classification for data science: with applications in R. Cambridge series in statistical and probabilistic mathematics. Cambridge, United Kingdom: Cambridge University Press"},{"key":"558_CR13","volume-title":"Convex optimization","author":"SP Boyd","year":"2006","unstructured":"Boyd SP, Vandenberghe L (2006) Convex optimization, corrections. Cambridge University Press, Cambridge","edition":"corrections"},{"issue":"2","key":"558_CR14","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s11634-013-0139-1","volume":"8","author":"R Browne","year":"2014","unstructured":"Browne R, McNicholas P (2014) Estimating common principal components in high dimensions. Adv Data Anal Classif 8(2):217\u2013226","journal-title":"Adv Data Anal Classif"},{"issue":"2","key":"558_CR15","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s11222-012-9364-2","volume":"24","author":"R Browne","year":"2014","unstructured":"Browne R, McNicholas P (2014) Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models. Stat Comput 24(2):203\u2013210","journal-title":"Stat Comput"},{"key":"558_CR16","doi-asserted-by":"crossref","unstructured":"Browne RP (2022) Revitalizing the multivariate elliptical leptokurtic-normal distribution and its application in model-based clustering. Stat Probab Lett","DOI":"10.1016\/j.spl.2022.109640"},{"issue":"2","key":"558_CR17","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1002\/cjs.11246","volume":"43","author":"RP Browne","year":"2015","unstructured":"Browne RP, McNicholas PD (2015) A mixture of generalized hyperbolic distributions. Can J Stat 43(2):176\u2013198","journal-title":"Can J Stat"},{"key":"558_CR18","doi-asserted-by":"crossref","unstructured":"Browne RP, Punzo A, Bagnato L (2023) LeptokurticMixture: implements parsimonious finite mixtures of multivariate elliptical leptokurtic-normals. R package version 1.0","DOI":"10.32614\/CRAN.package.leptokurticMixture"},{"issue":"5","key":"558_CR19","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1016\/0031-3203(94)00125-6","volume":"28","author":"G Celeux","year":"1995","unstructured":"Celeux G, Govaert G (1995) Gaussian parsimonious clustering models. Pattern Recogn 28(5):781\u2013793","journal-title":"Pattern Recogn"},{"key":"558_CR20","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316863","volume-title":"An introduction to regression graphics","author":"RD Cook","year":"1994","unstructured":"Cook RD, Weisberg S (1994) An introduction to regression graphics. Wiley, New York"},{"issue":"4","key":"558_CR21","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1111\/biom.12351","volume":"71","author":"UJ Dang","year":"2015","unstructured":"Dang UJ, Browne RP, McNicholas PD (2015) Mixtures of multivariate power exponential distributions. Biometrics 71(4):1081\u20131089","journal-title":"Biometrics"},{"issue":"1","key":"558_CR22","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s00357-017-9221-2","volume":"34","author":"UJ Dang","year":"2017","unstructured":"Dang UJ, Punzo A, McNicholas PD, Ingrassia S, Browne RP (2017) Multivariate response and parsimony for Gaussian cluster-weighted models. J Classif 34(1):4\u201334","journal-title":"J Classif"},{"issue":"1","key":"558_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J Roy Stat Soc B 39(1):1\u201338","journal-title":"J Roy Stat Soc B"},{"issue":"4","key":"558_CR24","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s11749-019-00693-z","volume":"29","author":"A Farcomeni","year":"2020","unstructured":"Farcomeni A, Punzo A (2020) Robust model-based clustering with mild and gross outliers. TEST 29(4):989\u20131007","journal-title":"TEST"},{"key":"558_CR25","volume-title":"Common principal components and related multivariate models","author":"BN Flury","year":"1988","unstructured":"Flury BN (1988) Common principal components and related multivariate models. Wiley, New York"},{"key":"558_CR26","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"Fraley C, Raftery AE (2002) Model-based clustering, discriminant analysis, and density estimation. J Am Stat Assoc 97:611\u2013631","journal-title":"J Am Stat Assoc"},{"key":"558_CR27","first-page":"1","volume":"5","author":"C Fraley","year":"2015","unstructured":"Fraley C, Raftery AE, Scrucca L, Murphy TB, Fop M (2015) mclust: normal mixture modeling for model-based clustering, classification, and density estimation. R Package Version 5:1","journal-title":"R Package Version"},{"key":"558_CR28","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.csda.2013.01.017","volume":"71","author":"G Galimberti","year":"2014","unstructured":"Galimberti G, Soffritti G (2014) A multivariate linear regression analysis using finite mixtures of $$t$$ distributions. Comput Stat Data Anal 71:138\u2013150","journal-title":"Comput Stat Data Anal"},{"issue":"13","key":"558_CR29","doi-asserted-by":"publisher","first-page":"2645","DOI":"10.1080\/00949655.2022.2084093","volume":"92","author":"MP Gallaugher","year":"2022","unstructured":"Gallaugher MP, Tomarchio SD, McNicholas PD, Punzo A (2022) Model-based clustering via skewed matrix-variate cluster-weighted models. J Stat Comput Simul 92(13):2645\u20132666","journal-title":"J Stat Comput Simul"},{"issue":"2","key":"558_CR30","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s10260-010-0157-5","volume":"20","author":"F Greselin","year":"2011","unstructured":"Greselin F, Ingrassia S, Punzo A (2011) Assessing the pattern of covariance matrices via an augmentation multiple testing procedure. Stat Methods Appl 20(2):141\u2013170","journal-title":"Stat Methods Appl"},{"issue":"3","key":"558_CR31","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1080\/00031305.2013.791643","volume":"67","author":"F Greselin","year":"2013","unstructured":"Greselin F, Punzo A (2013) Closed likelihood ratio testing procedures to assess similarity of covariance matrices. Am Stat 67(3):117\u2013128","journal-title":"Am Stat"},{"issue":"1","key":"558_CR32","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P (1985) Comparing partitions. J Classif 2(1):193\u2013218","journal-title":"J Classif"},{"issue":"1","key":"558_CR33","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1198\/0003130042836","volume":"58","author":"DL Hunter","year":"2004","unstructured":"Hunter DL, Lange K (2004) A tutorial on MM algorithms. Am Stat 58(1):30\u201337","journal-title":"Am Stat"},{"key":"558_CR34","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/S0167-9473(02)00142-1","volume":"41","author":"H Kiers","year":"2002","unstructured":"Kiers H (2002) Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems. Comput Stat Data Anal 41:157\u2013170","journal-title":"Comput Stat Data Anal"},{"issue":"1","key":"558_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10618600.2000.10474858","volume":"9","author":"K Lange","year":"2000","unstructured":"Lange K, Hunter DR, Yang I (2000) Optimization transfer using surrogate objective functions. J Comput Graph Stat 9(1):1\u201320","journal-title":"J Comput Graph Stat"},{"issue":"6","key":"558_CR36","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1109\/TAC.1979.1102178","volume":"24","author":"A Laub","year":"1979","unstructured":"Laub A (1979) A Schur method for solving algebraic Riccati equations. IEEE Trans Autom Control 24(6):913\u2013921","journal-title":"IEEE Trans Autom Control"},{"key":"558_CR37","doi-asserted-by":"crossref","unstructured":"Lindsay BG (1995) Mixture models: theory, geometry and applications. In NSF-CBMS regional conference series in probability and statistics, Volume 5, pp 63\u201365. California: Institute of Mathematical Statistics: Hayward","DOI":"10.1214\/cbms\/1462106013"},{"key":"558_CR38","doi-asserted-by":"publisher","DOI":"10.1201\/9781315373577","volume-title":"Mixture model-based classification","author":"PD McNicholas","year":"2016","unstructured":"McNicholas PD (2016) Mixture model-based classification. CRC Press, Boca Raton"},{"issue":"3","key":"558_CR39","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s00357-016-9211-9","volume":"33","author":"PD McNicholas","year":"2016","unstructured":"McNicholas PD (2016) Model-based clustering. J Classif 33(3):331\u2013373","journal-title":"J Classif"},{"key":"558_CR40","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.csda.2018.12.001","volume":"132","author":"K Morris","year":"2019","unstructured":"Morris K, Punzo A, McNicholas PD, Browne RP (2019) Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions. Comput Stat Data Anal 132:145\u2013166","journal-title":"Comput Stat Data Anal"},{"issue":"4","key":"558_CR41","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1023\/A:1008981510081","volume":"10","author":"D Peel","year":"2000","unstructured":"Peel D, McLachlan GJ (2000) Robust mixture modelling using the $$t$$ distribution. Stat Comput 10(4):339\u2013348","journal-title":"Stat Comput"},{"key":"558_CR42","first-page":"5","volume":"2","author":"N Pocuca","year":"2022","unstructured":"Pocuca N, Browne RP, McNicholas PD (2022) Mixture: mixture models for clustering and classification. R Package Version 2:5","journal-title":"R Package Version"},{"issue":"6","key":"558_CR43","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1002\/bimj.201900248","volume":"62","author":"A Punzo","year":"2020","unstructured":"Punzo A, Bagnato L (2020) Allometric analysis using the multivariate shifted exponential normal distribution. Biom J 62(6):1525\u20131543","journal-title":"Biom J"},{"issue":"1","key":"558_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00949655.2020.1805451","volume":"91","author":"A Punzo","year":"2021","unstructured":"Punzo A, Bagnato L (2021) The multivariate tail-inflated normal distribution and its application in finance. J Stat Comput Simul 91(1):1\u201336","journal-title":"J Stat Comput Simul"},{"issue":"1","key":"558_CR45","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1515\/ijb-2020-0059","volume":"18","author":"A Punzo","year":"2022","unstructured":"Punzo A, Bagnato L (2022) Multiple scaled symmetric distributions in allometric studies. Int J Biostat 18(1):219\u2013242","journal-title":"Int J Biostat"},{"key":"558_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107031","volume":"98","author":"A Punzo","year":"2020","unstructured":"Punzo A, Blostein M, McNicholas PD (2020) High-dimensional unsupervised classification via parsimonious contaminated mixtures. Pattern Recogn 98:107031","journal-title":"Pattern Recogn"},{"issue":"10","key":"558_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v085.i10","volume":"85","author":"A Punzo","year":"2018","unstructured":"Punzo A, Mazza A, McNicholas PD (2018) ContaminatedMixt: an R package for fitting parsimonious mixtures of multivariate contaminated normal distributions. J Stat Softw 85(10):1\u201325","journal-title":"J Stat Softw"},{"issue":"6","key":"558_CR48","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1002\/bimj.201500144","volume":"58","author":"A Punzo","year":"2016","unstructured":"Punzo A, McNicholas PD (2016) Parsimonious mixtures of multivariate contaminated normal distributions. Biom J 58(6):1506\u20131537","journal-title":"Biom J"},{"key":"558_CR49","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G (1978) Estimating the dimenson of a model. Ann Stat 6:461\u2013464","journal-title":"Ann Stat"},{"issue":"1","key":"558_CR50","doi-asserted-by":"publisher","first-page":"289","DOI":"10.32614\/RJ-2016-021","volume":"8","author":"L Scrucca","year":"2016","unstructured":"Scrucca L, Fop M, Murphy TB, Raftery AE (2016) mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. R J 8(1):289\u2013317","journal-title":"R J"},{"key":"558_CR51","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1111\/1467-9868.00265","volume":"62","author":"M Stephens","year":"2000","unstructured":"Stephens M (2000) Dealing with label switching in mixture models. J R Stat Soc Ser B 62:795\u2013809","journal-title":"J R Stat Soc Ser B"},{"key":"558_CR52","volume-title":"Statistical analysis of finite mixture distributions","author":"DM Titterington","year":"1985","unstructured":"Titterington DM, Smith AFM, Makov UE (1985) Statistical analysis of finite mixture distributions. Wiley, New York"},{"issue":"2","key":"558_CR53","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10182-021-00430-8","volume":"106","author":"SD Tomarchio","year":"2022","unstructured":"Tomarchio SD, Bagnato L, Punzo A (2022) Model-based clustering via new parsimonious mixtures of heavy-tailed distributions. AStA Adv Stat Anal 106(2):315\u2013347","journal-title":"AStA Adv Stat Anal"},{"issue":"3","key":"558_CR54","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/s11222-022-10107-0","volume":"32","author":"SD Tomarchio","year":"2022","unstructured":"Tomarchio SD, Punzo A, Maruotti A (2022) Parsimonious hidden Markov models for matrix-variate longitudinal data. Stat Comput 32(3):53","journal-title":"Stat Comput"},{"key":"558_CR55","unstructured":"Weisberg S (2011) alr3: data to accompany applied linear regression 3rd edn. http:\/\/CRAN.R-project.org\/package=alr3"},{"issue":"4","key":"558_CR56","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1137\/0306044","volume":"6","author":"WM Wonham","year":"1968","unstructured":"Wonham WM (1968) On a matrix Riccati equation of stochastic control. SIAM J Control 6(4):681\u2013697","journal-title":"SIAM J Control"},{"issue":"4","key":"558_CR57","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.1111\/j.1541-0420.2010.01389.x","volume":"66","author":"J Zhang","year":"2010","unstructured":"Zhang J, Liang F (2010) Robust clustering using exponential power mixtures. Biometrics 66(4):1078\u20131086","journal-title":"Biometrics"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-023-00558-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11634-023-00558-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-023-00558-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T04:07:53Z","timestamp":1726718873000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11634-023-00558-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,27]]},"references-count":57,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["558"],"URL":"https:\/\/doi.org\/10.1007\/s11634-023-00558-2","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,27]]},"assertion":[{"value":"30 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Ryan P.\u00a0Browne declares that he has no conflict of interest. Luca Bagnato declares that he has no conflict of interest. Antonio Punzo declares that he has no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}