{"id":120,"date":"2012-08-07T20:14:19","date_gmt":"2012-08-07T20:14:19","guid":{"rendered":"http:\/\/www-sop.inria.fr\/members\/Fabien.Campillo\/?page_id=120"},"modified":"2022-12-20T21:46:19","modified_gmt":"2022-12-20T21:46:19","slug":"arc-micr","status":"publish","type":"page","link":"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/","title":{"rendered":"Arc Micr 2007-2008"},"content":{"rendered":"<blockquote><p><strong>Stochastic modeling, numerical inference and control for renewable resource assessment and management<\/strong><\/p><\/blockquote>\n<p>The theme of this action is stochastic modeling, inference and control for the management of renewable resources. It aims at a synergy between innovative mathematical domains and an application problem of primary importance. The MICR action thus crosses two scientific axes: a first one on renewable resources, a second one on probabilistic modeling and statistical inference.<\/p>\n<p>The &#8220;cooperative research actions&#8221; aim to encourage the rapid emergence of new research topics, in particular by supporting the initiatives of young researchers and partnerships with research groups outside INRIA.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_72 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Participants\" title=\"Participants\">Participants<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Scientific_activities\" title=\"Scientific activities\">Scientific activities<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Publicationsresults\" title=\"Publications\/results\">Publications\/results<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Student_reports\" title=\"Student reports\u00a0:\">Student reports\u00a0:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Publications_journals_and_conference_proceedings\" title=\"Publications (journals and conference proceedings):\">Publications (journals and conference proceedings):<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Conferencespresentationsother_interventions\" title=\"Conferences\/presentations\/other interventions:\">Conferences\/presentations\/other interventions:<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/localhost:8888\/wordpress\/projects\/arc-micr\/#Workshops_in_Madagascar\" title=\"Workshops in Madagascar\">Workshops in Madagascar<\/a><\/li><\/ul><\/nav><\/div>\n\n<h2><span class=\"ez-toc-section\" id=\"Participants\"><\/span>Participants<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ol>\n<li>Projet MERE, UMR INRA\/ENSAM Analyse des Syst\u00e8mes et Biom\u00e9trie, Montpellier et INRIA M\u00e9diterran\u00e9e: Fabien Campillo (CR INRIA), coordinateur<\/li>\n<li>Laboratoire d&#8217;Ecologie Halieutique, Agrocampus, Rennes : Etienne Rivot (CR Agrocampus), correspondant<\/li>\n<li>CERMICS, ENPC, Marne la Vall\u00e9e : Michel de Lara (Professeur ENPC), correspondant<\/li>\n<li>CIRAD, Montpellier : Vivien Rossi (unit\u00e9 Dynamique des for\u00eats naturelles) correspondant, Fr\u00e9d\u00e9ric Mortier (unit\u00e9 Diversit\u00e9 g\u00e9n\u00e9tique et am\u00e9lioration des esp\u00e8ces foresti\u00e8res)<\/li>\n<\/ol>\n<p>External collaborators of these research teams are associated to this action: Pierre Del Moral, INRIA Bordeaux; \u00c9ric Parent, GRESE, UMR ENGREF\/INAPG\/INRA BIA, Paris; \u00c9tienne Pr\u00e9vost, UMR Ecobiop, INRA St P\u00e9e s\/Nivelle.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Scientific_activities\"><\/span>Scientific activities<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"http:\/\/www-sop.inria.fr\/members\/Fabien.Campillo\/software\/ibm-forest\/\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-263 alignright\" style=\"border: 1px solid #b8b8b8;\" title=\"soft-forest-IBM\" src=\"http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pictures\/soft-forest-IBM.png\" alt=\"IBM for forest dynamics\" width=\"250\" height=\"250\" srcset=\"http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pictures\/soft-forest-IBM.png 445w, http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pictures\/soft-forest-IBM-300x300.png 300w, http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pictures\/soft-forest-IBM-150x150.png 150w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/><\/a>Following our first meeting, we can identify two test applications:<\/p>\n<ul>\n<li><em>AP Fisheries &#8211; This is a model of salmon population management. It is an already mastered example that needs to be improved. It is in the form of a state space model (hierarchical Bayesian models).<\/em><\/li>\n<li><em>AP forests &#8211; We have here classical matrix models. We wish to develop spatio-temporal models.\u00a0<\/em><\/li>\n<\/ul>\n<p>Both applications are situated in a &#8220;data poor&#8221; context: we have few data over a few years (typically a few observations per year over a few decades) and these data are highly noisy. In both cases it will be necessary to identify the real and relevant goals in terms of management\/control of renewable resources.<\/p>\n<p>We also identified a methodological axis: parametric Bayesian identification &#8211; In the context of hierarchical Bayesian models with limited data (poor data), we are interested in numerical Bayesian inference methods (MCMC, particle filtering). It is important to play on the fact that the dynamics of these models are relatively well known.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Publicationsresults\"><\/span>Publications\/results<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Student_reports\"><\/span>Student reports\u00a0:<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul style=\"list-style-type: circle;\">\n<li>M. Denis. Analyse bay\u00e9sienne de mod\u00e8les d&#8217;\u00e9volution de ressources naturelles. M\u00e9moire de Master de Biostatistique, Universit\u00e9 Montpellier II. 2007 [<a href=\"http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pdf\/denis2007a.pdf\" data-wplink-url-error=\"true\">master thesis<\/a>] (\u2022)<\/li>\n<li>L.H. Zhong. Robustesse du choix du taux d&#8217;exploitation optimal d&#8217;une population de Saumon d&#8217;Atlantique vis \u00e0 vis du choix des fonctions d&#8217;utilit\u00e9. M\u00e9moire de Master de Biostatistique, Universit\u00e9 Montpellier II. 2007 (\u2022)<\/li>\n<li>K. Ono. Mod\u00e9lisation statistique bay\u00e9sienne d&#8217;un mod\u00e8le de production de biomasse. Application \u00e0 la p\u00eacherie de poulpe (Octopus vulgaris) de Mauritanie. M\u00e9moire de fin d&#8217;\u00e9tudes, Dipl\u00f4me d&#8217;Agronomie Approfondie. Agrocampus de Rennes 2007.<\/li>\n<li>M. Buoro. Etude jointe de la mortalit\u00e9 s\u00e9lective et de la norme de r\u00e9action pour la smoltification chez les juv\u00e9niles de saumon atlantique (Salmo salar, L.) par mod\u00e9lisation bay\u00e9sienne d\u2018exp\u00e9riences de capture-marquage-recapture. M\u00e9moire de Master 1 BGAE sp\u00e9cialit\u00e9 Ecologie, Biodiversit\u00e9 et Evolution, Universit\u00e9 Montpellier II, 2007.<\/li>\n<li>K. Khadraoui. Un mod\u00e8le markovien individu centr\u00e9 simple de dynamique de for\u00eat. M\u00e9moire de Master Biostatistiques, Universit\u00e9 de Montpellier 2, 2008. (\u2022)<\/li>\n<li>A. Raherinirina. Mod\u00e9lisation markvovienne de dynamiques agraires. M\u00e9moire de Dipl\u00f4me d&#8217;\u00c9tude Approfondie Informatiques et Math\u00e9matiques Appliqu\u00e9es, \u00c9cole Nationale d&#8217;Informatique &amp; Universit\u00e9 de Fianarantsoa, 2008.\u00a0(\u2022)<\/li>\n<li>N. Zougab. D\u00e9veppement d&#8217;un mod\u00e8le de g\u00e9n\u00e9tique quantitative dynamique. Prise en compte des comp\u00e9titions inter-individuelles. M\u00e9moire de Master Biostatistiques, Universit\u00e9 de Montpellier 2, 2008.<\/li>\n<\/ul>\n<p>(\u2022)\u00a0fully or partially supported by ARC Micr.<\/p>\n<div id=\"page\">\n<h3><span class=\"ez-toc-section\" id=\"Publications_journals_and_conference_proceedings\"><\/span>Publications (journals and conference proceedings):<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul style=\"list-style-type: circle;\">\n<li>F. Campillo, R. Rakotozafy, V. Rossi, Bayesian numerical inference for markovian models. Application to tropical forest dynamics. International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, Granada, Spain, 2007.<\/li>\n<li>F. Campillo, V. Rossi. Convolution filter based methods for parameter estimation in general stat-space models. IEEE TAES, In press.<\/li>\n<li>F. Campillo, R. Rakotozafy, V. Rossi, Bayesian numerical inference for hidden Markov models. Colloque international de Statistique Appliqu\u00e9e pour le D\u00e9veloppement en Afrique, Cotonou B\u00e9nin, 2006.<\/li>\n<li>F. Campillo, V. Rossi, R. Rakotozafy. Computational probability modeling and Bayesian inference. ARIMA &#8211; Special issue in honour of Claude Lobry. G. Sallet, T. Sari, H. Tour\u00e9 (eds.). 2008.<\/li>\n<li>F. Campillo, A. Raherinirina, R. Rakotozafy. Un mod\u00e8le markovien de transition agraire. 9\u00e8me Colloque Africain sur la Recherche en Informatique et en Math\u00e9matiques Appliqu\u00e9es (CARI), 27-30 Octobre 2008, Rabat, Maroc.<\/li>\n<li>F. Campillo, R. Rakotozafy, V. Rossi, Bayesian numerical inference for hidden Markov models. Mathematics and Computers in Simulation (soumis)<\/li>\n<li>F. Campillo. Simuler une for\u00eat ?, in &#8220;Mod\u00e9liser les plantes et leurs utilisations&#8221;, LISA &#8211; Lettre de l&#8217;INRIA Sophia Antipolis M\u00e9diterran\u00e9e, N\u00b0 12 &#8211; Juin 2008.<\/li>\n<li>P. Cantet, F. Campillo, R Rakotozafy, V. Rossi, M\u00e9thodes MCMC en interaction pour l&#8217;\u00e9valuation de ressources naturelles. ARIMA, 8:64-80, 2008.<\/li>\n<li>F. Chaubert, F. Mortier, L. Saint-Andr\u00e9. Multivariate dynamic model for ordinal outcomes. Journal of Multivariate Analysis, 2008.<\/li>\n<li>L. Doyen, M. De Lara, J. Ferraris, D. Pelletier. Sustainability of exploited marine ecosystems through protected areas: a viability model and a coral reef case study. Ecological Modelling, 2007 (accept\u00e9)<\/li>\n<li>O. Flores, F. Mortier, V. Rossi, Hierarchical bayesian models of sapling density in a tropical rainforest, Ecological Modeling (soumis)<\/li>\n<li>C. Gaucherel, F. Campillo, L. Misson, J. Guiot, J.J. Boreux. Parameterization of a process-based tree-growth model: comparison of optimization, MCMC and Particle filtering algorithms. Environmental Modelling &amp; Software, 23(10-11) 1280-1288, 2008.<\/li>\n<li>M. Joannides, I. Larramendy-Valverde, V. Rossi, Monte-Carlo Observer for a Stochastic Model of Bioreactors. International Conference on Applied Stochastic Models and Data Analysis, Chania Greece, 2007.<\/li>\n<li>F. Mortier, V. Rossi, N. Picard and S. Gourlet-fleury, Unsupervised classification of species into functional groups based on matrix population mixture models. J. R S S serie C (soumis)<\/li>\n<li>N. Picard, A. Bar-Hen, F. Mortier, J. Chadoeuf. Multi-scale marked area-interaction point process: a model for the spatial pattern of trees. Scandinavian Journal of Statistics, 2008.<\/li>\n<li>N. Picard, F. Mortier, P. Chagneau. Predicting the stock recovery rate of a tropical species using matrix models. Ecological Modelling, 214. 349\u2013360, 2008.<\/li>\n<li>N. Picard, A. Bar-Hen, F. Mortier, J. Chadoeuf. Modelling the spatial pattern of an undisturbed tropical rain forest stand using marked point processes. Journal of ecology, 2008.<\/li>\n<li>E. Rivot, E. Pr\u00eavost, A. Cuzol, A. Blaguini\u00e8re, E. Parent. Hierarchical Bayesian modelling with habitat and time covariates for estimating riverine fish population size by successive removal method. Can. J. Fish. Aquat. Sci. 65: 117-133, 2008.<\/li>\n<li>E. Rivot, E. Pr\u00e9vost, A. Cuzol, E. Parent, J.L. Baglini\u00e8re. Hierarchical Bayesian Modelling with habitat and time covariates for estimating riverine fish population size by successive removal method. Canadian Journal of Fisheries and Aquatic Sciences. Sous presse.<\/li>\n<li>V. Rossi, J-P Vila, Bayesian Selection of Multiresponse Nonlinear Regression Model. Statistics, 8:64-80, 2008.<\/li>\n<li>H. Wernsd\u00f6rfer, V. Rossi, G. Cornu, S. Oddou-Muratorio, S. Gourlet-Fleury, Impact of uncertainty in tree mortality on the predictions of a tropical forest dynamics model, Ecological Modeling. Sous presse.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Conferencespresentationsother_interventions\"><\/span><strong>Conferences\/presentations\/other interventions:<br \/>\n<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul style=\"list-style-type: circle;\">\n<li>F. Campillo. M\u00e9thodes de Monte Carlo par cha\u00eenes de Markov en parall\u00e8les et en interaction. S\u00e9minaire de probabilit\u00e9s et statistique, Institut de Math\u00e9matiques et de Mod\u00e9lisation de Montpellier. Lundi 26 F\u00e9vrier 2007.<\/li>\n<li>V. Rossi, Bayesian numerical inference for markovian models. Application to tropical forest dynamics. International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources, Granada, Spain, 2007.<\/li>\n<li>M. de Lara. Curso de Matematica e Informatica para le Manejo Sustentable de Recursos Naturales, CIUP, Lima, Peru 7 au 18 ao\u00fbt 2007.<\/li>\n<li>M. de Lara. Contr\u00f4le viable de syst\u00e8mes dynamiques en temps discret et gestion durable des p\u00eaches. Rencontres Math-Industrie &#8220;Environnement&#8221; organis\u00e9e par la SMAI, la SMF et le CNRS, 29 mars 07.<\/li>\n<li>F. Campillo. Mod\u00e9lisation probabiliste et inf\u00e9rence bay\u00e9sienne \/ ing\u00e9nierie probabiliste. Conf\u00e9rence en l&#8217;honneur de Claude Lobry, Universit\u00e9 Gaston Berger, Saint Louis du S\u00e9n\u00e9gal, 10\/14 Septembre 2007.<\/li>\n<li>F. Campillo et V. Rossi. Mod\u00e9lisation bay\u00e9sienne hi\u00e9rarchique et inf\u00e9rence num\u00e9rique. Expos\u00e9 au CIRAD le 12 octobre 2007. [<a href=\"http:\/\/localhost:8888\/wordpress\/wp-content\/uploads\/pdf\/campillo2007d_slides.pdf\">slides<\/a>]<\/li>\n<li>F. Campillo. Mod\u00e9lisation individu-centr\u00e9e de la dynamique spatio-temporelle d&#8217;une for\u00eat. Groupe de travail de recherche sur les Mod\u00e8les Statistiques \u00e0 Structure(s) Cach\u00e9e(s), lundi 3 mars 2008, Montpellier.<\/li>\n<li>F. Campillo. Filtrage particulaire en \u00e9cologie et en environnement: pourquoi &amp; comment ? 31 mars 2008, Rencontres Statistiques au Sommet de Rochebrune (Eric Parent).<\/li>\n<li>N. Desassis. Mod\u00e9lisation spatio-temporelle : application \u00e0 une dynamique foresti\u00e8re. 3 avril 2008, Rencontres Statistiques au Sommet de Rochebrune (Eric Parent).<\/li>\n<li>N. Desassis. A spatio-temporal model for forest dynamics. Mini-Symposium : Point and Mark Processes With Forest Oriented Motivations. Mercredi 7 mai 2008, &#8220;Biostatistics and Spatial Processes&#8221; Unit, INRA Avignon.<\/li>\n<li>V. Rossi. Individual-based Modelling of Spatio-temporal of Forest Dynamics. Joint Meeting of the Statistical Society of Canada and the Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique May 25 to 29, 2008, Ottawa, Canada.<\/li>\n<li>F. Campillo, P. Del Moral &#8211; Branching particle models in environmental studies. Mod\u00e9lisation pour les Ressources Naturelles &#8211; Colloque INRA &#8211; 18 au 20 juin 2008, Montpellier SupAgro.<\/li>\n<li>F. Campillo. Stochastic spatio-temporal modeling of forest dynamics. International Biometric Conference, 13-18 July, 2008, Dublin, Irland.<\/li>\n<li>F. Mortier. Unsupervised Classification of Species Groups based on Mixture Matrix Population Models. International Biometric Conference, 13-18 July, 2008, Dublin, Irland.<\/li>\n<li>N. Desassis. Mod\u00e9lisation spatialement explicite d&#8217;une dynamique foresti\u00e8re et inf\u00e9rence. Journ\u00e9es MAS de la SMAI, Rennes, August, 2008.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Workshops_in_Madagascar\"><\/span>Workshops in Madagascar<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul style=\"list-style-type: circle;\">\n<li>Thematic workshop. Probability, statistics, scilab: some applications in environment. University of Fianarantsoa \/ May 14 to 25, 2007. Organization and interventions: Fabien Campillo, Rivo Rakotozafy, Vivien Rossi.<\/li>\n<li>Participation of Fabien Campillo &amp; Rivo Rakotozafy &#8211; CIMPA-UNESCO-MADAGASCAR School: Mathematical and Computer Methods for Landscape Modeling (MIMOPA). Organization: Dominique Herv\u00e9 &amp; Jean-Pierre Treuil &#8211; September 15-30, 2008, University of Fianarantsoa (National School of Computer Science), Madagascar.<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Stochastic modeling, numerical inference and control for renewable resource assessment and management The theme of this action is stochastic modeling, inference and control for the management of renewable resources. It aims at a synergy between innovative mathematical domains and an application problem of primary importance. The MICR action thus crosses two scientific axes: a first [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":101,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-120","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/120"}],"collection":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/comments?post=120"}],"version-history":[{"count":9,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/120\/revisions"}],"predecessor-version":[{"id":2357,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/120\/revisions\/2357"}],"up":[{"embeddable":true,"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/pages\/101"}],"wp:attachment":[{"href":"http:\/\/localhost:8888\/wordpress\/wp-json\/wp\/v2\/media?parent=120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}