{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T22:48:11Z","timestamp":1722725291346},"reference-count":26,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T00:00:00Z","timestamp":1657756800000},"content-version":"am","delay-in-days":225,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computational Statistics & Data Analysis"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.csda.2021.107319","type":"journal-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T15:41:58Z","timestamp":1626104518000},"page":"107319","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Inference for partially observed epidemic dynamics guided by Kalman filtering techniques"],"prefix":"10.1016","volume":"164","author":[{"given":"Romain","family":"Narci","sequence":"first","affiliation":[]},{"given":"Maud","family":"Delattre","sequence":"additional","affiliation":[]},{"given":"Catherine","family":"Lar\u00e9do","sequence":"additional","affiliation":[]},{"given":"Elisabeta","family":"Vergu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.csda.2021.107319_br0010","article-title":"Stochastic Epidemic Models and Their Statistical Analysis","volume":"vol. 151","author":"Andersson","year":"2000"},{"key":"10.1016\/j.csda.2021.107319_br0020","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1111\/j.1467-9868.2009.00736.x","article-title":"Particle Markov chain Monte Carlo methods","volume":"72","author":"Andrieu","year":"2010","journal-title":"J. R. Stat. Soc. B"},{"key":"10.1016\/j.csda.2021.107319_br0030","article-title":"Influenza in a boarding school","author":"Anonymous","year":"1978","journal-title":"Br. Med. J."},{"key":"10.1016\/j.csda.2021.107319_br0040","first-page":"237","article-title":"Formule de taylor stochastique et d\u00e9veloppement asymptotique int\u00e9grales de Feynmann","volume":"XVI","author":"Azencott","year":"1982","journal-title":"S\u00e9min. Probab."},{"key":"10.1016\/j.csda.2021.107319_br0050","first-page":"53","article-title":"Introduction to statistical inference for infectious diseases","volume":"157","author":"Britton","year":"2016","journal-title":"J. Soc. Fr. Stat."},{"key":"10.1016\/j.csda.2021.107319_br0060","series-title":"Stochastic Epidemic Models with Inference","author":"Britton","year":"2020"},{"key":"10.1016\/j.csda.2021.107319_br0070","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.mbs.2018.02.003","article-title":"Gaussian process approximations for fast inference from infectious disease data","volume":"301","author":"Buckingham-Jeffery","year":"2018","journal-title":"Math. Biosci."},{"key":"10.1016\/j.csda.2021.107319_br0080","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1098\/rsif.2007.1292","article-title":"Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London","volume":"5","author":"Cauchemez","year":"2008","journal-title":"J. R. Soc. Interface"},{"key":"10.1016\/j.csda.2021.107319_br0090","series-title":"Markov Processes: Characterization and Convergence","author":"Ethier","year":"2005"},{"key":"10.1016\/j.csda.2021.107319_br0100","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1111\/j.1467-9469.2009.00679.x","article-title":"Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application","volume":"37","author":"Favetto","year":"2010","journal-title":"Scand. J. Stat."},{"key":"10.1016\/j.csda.2021.107319_br0110","series-title":"Random Perturbations of Dynamical Systems","author":"Freidlin","year":"1978"},{"key":"10.1016\/j.csda.2021.107319_br0120","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1021\/j100540a008","article-title":"Exact stochastic simulation of coupled chemical reactions","volume":"81","author":"Gillespie","year":"1977","journal-title":"J. Phys. Chem."},{"key":"10.1016\/j.csda.2021.107319_br0130","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.spa.2013.07.009","article-title":"Parametric inference for discretely observed multidimensional diffusions with small diffusion coefficient","volume":"124","author":"Guy","year":"2014","journal-title":"Stoch. Process. Appl."},{"key":"10.1016\/j.csda.2021.107319_br0140","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s00285-014-0777-8","article-title":"Approximation of epidemic models by diffusion processes and their statistical inference","volume":"70","author":"Guy","year":"2015","journal-title":"J. Math. Biol."},{"key":"10.1016\/j.csda.2021.107319_br0150","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.1214\/11-AOS886","article-title":"Iterated filtering","volume":"39","author":"Ionides","year":"2011","journal-title":"Ann. Stat."},{"key":"10.1016\/j.csda.2021.107319_br0160","doi-asserted-by":"crossref","first-page":"18438","DOI":"10.1073\/pnas.0603181103","article-title":"Inference for nonlinear dynamical systems","volume":"103","author":"Ionides","year":"2006","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.csda.2021.107319_br0170","doi-asserted-by":"crossref","DOI":"10.1098\/rsif.2017.0126","article-title":"Monte Carlo profile confidence intervals for dynamic systems","volume":"14","author":"Ionides","year":"2017","journal-title":"J. R. Soc. Interface"},{"key":"10.1016\/j.csda.2021.107319_br0180","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1073\/pnas.1410597112","article-title":"Inference for dynamic and latent variable models via iterated, perturbed Bayes maps","volume":"112","author":"Ionides","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.csda.2021.107319_br0190","series-title":"Statistical Methods for Stochastic Differential Equations","author":"Kessler","year":"2012"},{"key":"10.1016\/j.csda.2021.107319_br0200","first-page":"1","article-title":"Statistical inference for partially observed Markov processes via the R package pomp","volume":"69","author":"King","year":"2017","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.csda.2021.107319_br0210","series-title":"Markov Chains","author":"Norris","year":"1997"},{"key":"10.1016\/j.csda.2021.107319_br0220","doi-asserted-by":"crossref","first-page":"2069","DOI":"10.1002\/sim.3968","article-title":"Introduction and snapshot review: relating infectious disease transmission models to data","volume":"29","author":"O'Neill","year":"2010","journal-title":"Stat. Med."},{"key":"10.1016\/j.csda.2021.107319_br0230","doi-asserted-by":"crossref","first-page":"1760","DOI":"10.1073\/pnas.0607208104","article-title":"Sequential Monte Carlo without likelihoods","volume":"104","author":"Sisson","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.csda.2021.107319_br0240","author":"Stocks"},{"key":"10.1016\/j.csda.2021.107319_br0250","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1093\/biostatistics\/kxy057","article-title":"Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in Germany","volume":"21","author":"Stocks","year":"2018","journal-title":"Biostatistics"},{"key":"10.1016\/j.csda.2021.107319_br0260","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1098\/rsif.2008.0172","article-title":"Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems","volume":"6","author":"Toni","year":"2009","journal-title":"J. R. Soc. Interface"}],"container-title":["Computational Statistics & Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947321001535?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947321001535?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T22:13:58Z","timestamp":1673302438000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167947321001535"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":26,"alternative-id":["S0167947321001535"],"URL":"https:\/\/doi.org\/10.1016\/j.csda.2021.107319","relation":{},"ISSN":["0167-9473"],"issn-type":[{"value":"0167-9473","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Inference for partially observed epidemic dynamics guided by Kalman filtering techniques","name":"articletitle","label":"Article Title"},{"value":"Computational Statistics & Data Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csda.2021.107319","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107319"}}