Goodness of fit for stochastic actor-oriented models
| Autor: | Josh Lospinoso, Tom AB Snijders |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Methodological Innovations, Vol 12 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2059-7991 20597991 |
| DOI: | 10.1177/2059799119884282 |
| Popis: | We propose a Mahalanobis distance–based Monte Carlo goodness of fit testing procedure for the family of stochastic actor-oriented models for social network evolution. A modified model distance estimator is proposed to help the researcher identify model extensions that will remediate poor fit. A limited simulation study is provided to establish baseline legitimacy for the Mahalanobis distance–based Monte Carlo test and modified model distance estimator. A forward model selection workflow is proposed, and this procedure is demonstrated on a real data set. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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