{"id":"https://openalex.org/W2186093863","doi":null,"title":"Bayesian nonparametric predictive approaches for causal inference: Regression Discontinuity Methods","display_name":"Bayesian nonparametric predictive approaches for causal inference: Regression Discontinuity Methods","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2186093863","mag":"2186093863"},"language":"en","primary_location":{"id":"mag:2186093863","doi":null,"is_oa":false,"landing_page_url":"https://georgek.people.uic.edu/12-14-13%20Karabatsos%20ERCIM%20London%20talk.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5082741454","display_name":"George Karabatsos","orcid":"https://orcid.org/0000-0003-4243-2285","observed_orcids":["https://orcid.org/0000-0003-4243-2285"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"George Karabatsos","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4243-2285","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5082741454"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9926999807357788,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9926999807357788,"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":0.003000000026077032,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regression-discontinuity-design","display_name":"regression discontinuity design","score":0.8429999947547913},{"id":"https://openalex.org/keywords/nonparametric-bayesian-inference","display_name":"Bayesian nonparametrics","score":0.8539999723434448},{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.8759999871253967},{"id":"https://openalex.org/keywords/predictive-inference","display_name":"predictive inference","score":0.5519999861717224},{"id":"https://openalex.org/keywords/treatment-effect-estimation","display_name":"treatment effect estimation","score":0.6000000238418579}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6547744274139404},{"id":"https://openalex.org/C917703","wikidata":"https://www.wikidata.org/wiki/Q7239668","display_name":"Predictive inference","level":5,"score":0.5913676619529724},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5454484224319458},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5250268578529358},{"id":"https://openalex.org/C66912227","wikidata":"https://www.wikidata.org/wiki/Q2138712","display_name":"Regression discontinuity design","level":2,"score":0.5034260153770447},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48715731501579285},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.47388333082199097},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46870964765548706},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4421003758907318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43974569439888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4324415922164917},{"id":"https://openalex.org/C90157343","wikidata":"https://www.wikidata.org/wiki/Q5188196","display_name":"Cross-sectional regression","level":4,"score":0.4134826958179474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4096619486808777},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.39364492893218994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37766531109809875},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.36442363262176514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3599657416343689},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.29459279775619507},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.28554567694664}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2186093863","doi":null,"is_oa":false,"landing_page_url":"https://georgek.people.uic.edu/12-14-13%20Karabatsos%20ERCIM%20London%20talk.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W157449371","https://openalex.org/W1597926580","https://openalex.org/W1892735735","https://openalex.org/W2000772653","https://openalex.org/W2010505816","https://openalex.org/W2036809193","https://openalex.org/W2063022356","https://openalex.org/W2076386983","https://openalex.org/W2114242548","https://openalex.org/W2116920356","https://openalex.org/W2117935976","https://openalex.org/W2118942461","https://openalex.org/W2121803403","https://openalex.org/W2131599504","https://openalex.org/W2141019942","https://openalex.org/W2145411167","https://openalex.org/W2169315100","https://openalex.org/W3121492802","https://openalex.org/W3122958054"],"related_works":["https://openalex.org/W7098237622","https://openalex.org/W2950107795","https://openalex.org/W2469359967","https://openalex.org/W4404034885","https://openalex.org/W2038687011","https://openalex.org/W2188189450","https://openalex.org/W3020781307","https://openalex.org/W2961011996","https://openalex.org/W7008516019","https://openalex.org/W350039008"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}