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Andrew Genius Chapple

Personal Details

First Name:Andrew
Middle Name:Genius
Last Name:Chapple
Suffix:
RePEc Short-ID:pch1611
https://adventuresinstatistics.wordpress.com/

Affiliation

Rice University

https://statistics.rice.edu/
United States, Houston

Research output

as
Jump to: Working papers Articles

Working papers

  1. Andrew G. Chapple, 2016. "A Bayesian Reversible Jump Piecewise Hazard approach for modelling rate changes in mass shootings," EERI Research Paper Series EERI RP 2016/24, Economics and Econometrics Research Institute (EERI), Brussels.

Articles

  1. Andrew G. Chapple, 2016. "A Bayesian Reversible Jump Piecewise Hazard approach for modeling rate changes in mass shootings," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 59(3), pages 19-31.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Andrew G. Chapple, 2016. "A Bayesian Reversible Jump Piecewise Hazard approach for modelling rate changes in mass shootings," EERI Research Paper Series EERI RP 2016/24, Economics and Econometrics Research Institute (EERI), Brussels.

    Cited by:

    1. Andrew G. Chapple, 2018. "Modeling ISIL terror attacks and their fatality rates with a Bayesian reversible jump marked point process," EERI Research Paper Series EERI RP 2018/09, Economics and Econometrics Research Institute (EERI), Brussels.

Articles

  1. Andrew G. Chapple, 2016. "A Bayesian Reversible Jump Piecewise Hazard approach for modeling rate changes in mass shootings," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 59(3), pages 19-31.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2017-01-15. Author is listed

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