{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:15:25Z","timestamp":1740147325804,"version":"3.37.3"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T00:00:00Z","timestamp":1592956800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T00:00:00Z","timestamp":1592956800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["TEST"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11749-020-00722-2","type":"journal-article","created":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T10:02:44Z","timestamp":1592992964000},"page":"364-382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modelling informative time points: an evolutionary process approach"],"prefix":"10.1007","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9025-2962","authenticated-orcid":false,"given":"Andreia","family":"Monteiro","sequence":"first","affiliation":[]},{"given":"Raquel","family":"Menezes","sequence":"additional","affiliation":[]},{"given":"Maria Eduarda","family":"Silva","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,24]]},"reference":[{"key":"722_CR1","volume-title":"Time series analysis: forecasting and control","author":"GE Box","year":"2015","unstructured":"Box GE, Jenkins GM, Reinsel GC, Ljung GM (2015) Time series analysis: forecasting and control. Wiley, Hoboken"},{"key":"722_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/b97391","volume-title":"Introduction to time series and forecasting","author":"PJ Brockwell","year":"2002","unstructured":"Brockwell PJ, Davis RA (2002) Introduction to time series and forecasting. Springer, Berlin"},{"key":"722_CR3","volume-title":"An introduction to the theory of point processes. Elementary theory and methods","author":"DJ Daley","year":"2003","unstructured":"Daley DJ, Vere-Jones D (2003) An introduction to the theory of point processes. Elementary theory and methods, vol 1, 2nd edn. Springer, New York","edition":"2"},{"key":"722_CR4","volume-title":"An introduction to the theory of point processes. General theory and structure","author":"DJ Daley","year":"2008","unstructured":"Daley DJ, Vere-Jones D (2008) An introduction to the theory of point processes. General theory and structure, vol 1, 2nd edn. Springer, New York","edition":"2"},{"key":"722_CR5","doi-asserted-by":"publisher","DOI":"10.1201\/9781420011180","volume-title":"Missing data in longitudinal studies: strategies for Bayesian modeling and sensitivity analysis","author":"MJ Daniels","year":"2008","unstructured":"Daniels MJ, Hogan JW (2008) Missing data in longitudinal studies: strategies for Bayesian modeling and sensitivity analysis. CRC Press, Boca Raton"},{"key":"722_CR6","first-page":"49","volume":"43","author":"P Diggle","year":"1994","unstructured":"Diggle P, Kenward MG (1994) Informative drop-out in longitudinal data analysis. J R Stat Soc Ser C (Appl Stat) 43:49\u201393","journal-title":"J R Stat Soc Ser C (Appl Stat)"},{"issue":"1","key":"722_CR7","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1093\/biomet\/58.1.83","volume":"58","author":"AG Hawkes","year":"1971","unstructured":"Hawkes AG (1971) Spectra of some self-exciting and mutually exciting point processes. Biometrika 58(1):83\u201390","journal-title":"Biometrika"},{"issue":"3","key":"722_CR8","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1002\/(SICI)1097-0258(19970215)16:3<259::AID-SIM484>3.0.CO;2-S","volume":"16","author":"JW Hogan","year":"1997","unstructured":"Hogan JW, Laird NM (1997) Model-based approaches to analysing incomplete longitudinal and failure time data. Stat Med 16(3):259\u2013272","journal-title":"Stat Med"},{"issue":"5","key":"722_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v070.i05","volume":"70","author":"K Kristensen","year":"2016","unstructured":"Kristensen K, Nielsen A, Berg CW, Skaug H, Bell BM (2016) TMB: automatic differentiation and Laplace approximation. J Stat Softw 70(5):1\u201321. https:\/\/doi.org\/10.18637\/jss.v070.i05","journal-title":"J Stat Softw"},{"key":"722_CR10","unstructured":"Lapham BM (2014) Hawkes processes and some financial applications. PhD thesis, University of Cape Town"},{"issue":"3","key":"722_CR11","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1002\/nav.3800260304","volume":"26","author":"PAW Lewis","year":"1979","unstructured":"Lewis PAW, Shedler GS (1979) Simulation of nonhomogeneous poisson processes by thinning. Naval Res Logist Q 26(3):403\u2013413","journal-title":"Naval Res Logist Q"},{"issue":"2","key":"722_CR12","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1111\/j.1541-0420.2008.01104.x","volume":"65","author":"Y Liang","year":"2009","unstructured":"Liang Y, Lu W, Ying Z (2009) Joint modeling and analysis of longitudinal data with informative observation times. Biometrics 65(2):377\u2013384","journal-title":"Biometrics"},{"issue":"4","key":"722_CR13","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1111\/j.1467-9868.2011.00777.x","volume":"73","author":"F Lindgren","year":"2011","unstructured":"Lindgren F, Rue H, Lindstr\u00f6m J (2011) An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach. J R Stat Soc Ser B (Stat Methodol) 73(4):423\u2013498","journal-title":"J R Stat Soc Ser B (Stat Methodol)"},{"key":"722_CR14","unstructured":"Monteiro A, Menezes R, Silva ME (2018) Modelling irregularly spaced time series under preferentail sampling. RevStat Stat J (accepted)"},{"issue":"3","key":"722_CR15","first-page":"180","volume":"35","author":"A Monteiro","year":"2019","unstructured":"Monteiro A, Menezes R, Silva ME (2019) Modelling preferential sampling in time. BEIO 35(3):180\u2013196","journal-title":"BEIO"},{"issue":"1","key":"722_CR16","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1109\/TIT.1981.1056305","volume":"27","author":"Y Ogata","year":"1981","unstructured":"Ogata Y (1981) On Lewis\u2019 simulation method for point processes. IEEE Trans Inf Theory 27(1):23\u201331","journal-title":"IEEE Trans Inf Theory"},{"issue":"3","key":"722_CR17","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1007\/s11009-011-9272-5","volume":"15","author":"JG Rasmussen","year":"2013","unstructured":"Rasmussen JG (2013) Bayesian inference for Hawkes processes. Methodol Comput Appl Probab 15(3):623\u2013642","journal-title":"Methodol Comput Appl Probab"},{"issue":"479","key":"722_CR18","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1198\/016214507000000248","volume":"102","author":"D Ryu","year":"2007","unstructured":"Ryu D, Sinha D, Mallick B, Lipsitz SR, Lipshultz SE (2007) Longitudinal studies with outcome-dependent follow-up: models and Bayesian regression. J Am Stat Assoc 102(479):952\u2013961","journal-title":"J Am Stat Assoc"},{"key":"722_CR19","series-title":"Springer texts in statistics","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52452-8","volume-title":"Time series analysis and its applications: with R examples","author":"RH Shumway","year":"2017","unstructured":"Shumway RH, Stoffer DS (2017) Time series analysis and its applications: with R examples, 4th edn. Springer texts in statistics. Springer, New York","edition":"4"},{"key":"722_CR20","unstructured":"Stoffer D (2017) astsa: Applied statistical time series analysis. https:\/\/CRAN.R-project.org\/package=astsa. Accessed Jan 2018"},{"issue":"5","key":"722_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v053.i05","volume":"53","author":"Z Wang","year":"2013","unstructured":"Wang Z (2013) cts: An R package for continuous time autoregressive models via Kalman filter. J Stat Softw 53(5):1\u201319","journal-title":"J Stat Softw"}],"container-title":["TEST"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11749-020-00722-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11749-020-00722-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11749-020-00722-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T00:54:00Z","timestamp":1624496040000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11749-020-00722-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,24]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["722"],"URL":"https:\/\/doi.org\/10.1007\/s11749-020-00722-2","relation":{},"ISSN":["1133-0686","1863-8260"],"issn-type":[{"type":"print","value":"1133-0686"},{"type":"electronic","value":"1863-8260"}],"subject":[],"published":{"date-parts":[[2020,6,24]]},"assertion":[{"value":"5 June 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}