Statistical Modeling Techniques for the Analysis of Relational Event Networks

DOI

This is the code used for the experiments and simulations in the PhD dissertation: Statistical Modeling Techniques for the Analysis of Relational Event Networks. The main purpose is to assess methods to develop methods and models to analyse relational event networks.

Method: Numerical experiments via simulations and empirical applications.

Identifier
DOI https://doi.org/10.34894/D1YZJO
Related Identifier IsCitedBy https://doi.org/10.1007/s41237-023-00203-4
Related Identifier IsCitedBy https://doi.org/10.1007/s42001-024-00290-7
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/D1YZJO
Provenance
Creator Generoso Vieira, Fábio ORCID logo
Publisher DataverseNL
Contributor Generoso Vieira, Fábio; Tilburg University; DataverseNL
Publication Year 2024
Funding Reference NWO 452-17-006
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Generoso Vieira, Fábio (Tilburg University)
Representation
Resource Type R files to generate data and estimate models.; Dataset
Format application/octet-stream; type/x-r-syntax; application/gzip; application/pdf; text/csv
Size 862; 11338; 3417; 6491; 15443; 10672580; 1291; 11539; 500; 495; 17894; 36934; 275760252; 15838; 1029; 6893; 7021; 206; 203; 1304330; 612; 614; 488335513; 499534905; 27433723; 7259; 154518; 211208; 52439; 2283; 2570; 6370; 4764; 543; 10104; 3193; 4552; 16817; 951; 3250; 4157; 3224; 2147; 2395; 1915; 1684; 3262; 4284; 1480; 1818; 7054; 3107; 53289; 2814; 6733; 1986; 1926; 526537602; 15853; 982; 1777; 3938; 4251; 4339; 1562; 3827; 6700; 4123; 4577; 161092; 2128
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences