{"id":"https://openalex.org/W2735074257","doi":"https://doi.org/10.1080/03610918.2017.1353619","title":"Function-on-function regression for two-dimensional functional data","display_name":"Function-on-function regression for two-dimensional functional data","publication_year":2017,"publication_date":"2017-07-13","ids":{"openalex":"https://openalex.org/W2735074257","doi":"https://doi.org/10.1080/03610918.2017.1353619","mag":"2735074257"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1353619","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1353619","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078500100","display_name":"Andrada E. Ivanescu","orcid":null},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andrada E. Ivanescu","raw_affiliation_strings":["Department of Mathematical Sciences, Montclair State University, Montclair, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Montclair State University, Montclair, NJ, USA","institution_ids":["https://openalex.org/I166088655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078500100"],"corresponding_institution_ids":["https://openalex.org/I166088655"],"apc_list":null,"apc_paid":null,"fwci":0.6995,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73744001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"47","issue":"9","first_page":"2656","last_page":"2669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770049333572388},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6697924733161926},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6677202582359314},{"id":"https://openalex.org/keywords/smoothing-spline","display_name":"Smoothing spline","score":0.6250098943710327},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.5227779746055603},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.498823881149292},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.49105405807495117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4743201434612274},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4685051739215851},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44845128059387207},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4118618965148926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3627966046333313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3426600694656372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24646726250648499},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10689181089401245},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.10135772824287415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770049333572388},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6697924733161926},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6677202582359314},{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.6250098943710327},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.5227779746055603},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.498823881149292},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49105405807495117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4743201434612274},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4685051739215851},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44845128059387207},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4118618965148926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3627966046333313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3426600694656372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24646726250648499},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10689181089401245},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.10135772824287415},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1353619","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1353619","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W161334779","https://openalex.org/W1556631438","https://openalex.org/W1603304768","https://openalex.org/W1893329038","https://openalex.org/W1974786680","https://openalex.org/W1979868459","https://openalex.org/W2007753050","https://openalex.org/W2013365346","https://openalex.org/W2019545134","https://openalex.org/W2027515083","https://openalex.org/W2031381243","https://openalex.org/W2040215252","https://openalex.org/W2063202299","https://openalex.org/W2106687504","https://openalex.org/W2111188590","https://openalex.org/W2133944729","https://openalex.org/W2148071000","https://openalex.org/W2148443418","https://openalex.org/W2157673342","https://openalex.org/W2513556727","https://openalex.org/W2606564856","https://openalex.org/W2619339134","https://openalex.org/W3137136951"],"related_works":["https://openalex.org/W2160550653","https://openalex.org/W1004284732","https://openalex.org/W1833023352","https://openalex.org/W3125802181","https://openalex.org/W1981039615","https://openalex.org/W1498443186","https://openalex.org/W1690623585","https://openalex.org/W2158092971","https://openalex.org/W2033337756","https://openalex.org/W1980787558"],"abstract_inverted_index":{"We":[0],"present":[1],"methods":[2,41,87],"for":[3,54],"modeling":[4],"and":[5,15,27,35,59,76],"estimation":[6],"of":[7,51,85],"a":[8],"concurrent":[9],"functional":[10,19],"regression":[11],"when":[12],"the":[13,49,55,86],"predictors":[14],"responses":[16],"are":[17,42,70],"two-dimensional":[18],"datasets.":[20],"The":[21,39,83],"implementations":[22],"use":[23],"spline":[24],"basis":[25],"functions":[26],"model":[28,37,57],"fitting":[29],"is":[30,88],"based":[31],"on":[32],"smoothing":[33],"penalties":[34],"mixed":[36],"estimation.":[38],"proposed":[40],"implemented":[43],"in":[44,74,81,90],"available":[45],"statistical":[46],"software,":[47],"allow":[48],"construction":[50],"confidence":[52],"intervals":[53],"bivariate":[56],"parameters,":[58],"can":[60],"be":[61],"applied":[62],"to":[63,72,93],"completely":[64],"or":[65],"sparsely":[66],"sampled":[67],"responses.":[68],"Methods":[69],"tested":[71],"data":[73],"simulations":[75],"they":[77],"show":[78],"favorable":[79],"results":[80],"practice.":[82],"usefulness":[84],"illustrated":[89],"an":[91],"application":[92],"environmental":[94],"data.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}