Spatio-temporal parse network-based trajectory modeling on the dynamics of criminal justice system-Reference-Cited by-同舟云学术

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Spatio-temporal parse network-based trajectory modeling on the dynamics of criminal justice system

Published:2021-02-16 Issue: Volume: Page:1-22
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Yu Han¹^ORCID,Jiang Shanhe²,Huang Hong³

Affiliation:

1. Department of Applied Statistics and Research Methods, University of Northern Colorado, Greeley, CO, USA

2. Department of Criminal Justice, Wayne State University, Detroit, MI, USA

3. School of Information, University of South Florida, Tampa, FL, USA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1887101

Reference52 articles.

1. Generalized structured additive regression based on Bayesian P-splines

2. Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspectives of person, place, and time

3. Applied Bayesian Modelling

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