Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Matthew T. K. Koehler"'
Autor:
Brian F Tivnan, David Rushing Dewhurst, Colin M Van Oort, John H Ring, Tyler J Gray, Brendan F Tivnan, Matthew T K Koehler, Matthew T McMahon, David M Slater, Jason G Veneman, Christopher M Danforth
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0226968 (2020)
Using the most comprehensive source of commercially available data on the US National Market System, we analyze all quotes and trades associated with Dow 30 stocks in calendar year 2016 from the vantage point of a single and fixed frame of reference.
Externí odkaz:
https://doaj.org/article/3347d11a0f8b418b902e271c80c9430b
Publikováno v:
Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas ISBN: 9783030961879
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c1654fa080f1bec03035c3cbf0fa30f
https://doi.org/10.1007/978-3-030-96188-6_10
https://doi.org/10.1007/978-3-030-96188-6_10
Publikováno v:
Proceedings of the 2020 Conference of The Computational Social Science Society of the Americas ISBN: 9783030834173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67fda837a77e6cb7a4e56eb1bbf39c40
https://doi.org/10.1007/978-3-030-83418-0_15
https://doi.org/10.1007/978-3-030-83418-0_15
As a result of the COVID-19 worldwide pandemic, the United States instituted various non-pharmaceutical interventions (NPIs) in an effort to slow the spread of the disease Although necessary for public safety, these NPIs can also have deleterious eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1f5109c6480d412b5b3d87e4a14ac5b
Autor:
Matthew T. K. Koehler, Emmet BeekerIII
Publikováno v:
Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas ISBN: 9783030359010
NetLogo and agent-based models more generally are traditionally implemented as time-stepped simulations. This means that everything is done at every increment of time. While this can be necessary at times, a potentially far more efficient simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7626971e163aac1e7317c1bfb4ba74
https://doi.org/10.1007/978-3-030-35902-7_10
https://doi.org/10.1007/978-3-030-35902-7_10
Autor:
Jason Veneman, Brendan F. Tivnan, Tyler J. Gray, David Slater, Christopher M. Danforth, Brian F. Tivnan, John H. Ring, David Rushing Dewhurst, Matthew T. McMahon, Colin M. Van Oort, Matthew T. K. Koehler
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0226968 (2020)
PLoS ONE
PLoS ONE
Using the most comprehensive source of commercially available data on the US National Market System, we analyze all quotes and trades associated with Dow 30 stocks in 2016 from the vantage point of a single and fixed frame of reference. We find that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34830433c54b2017edfbbb04311288f7
Publikováno v:
Emergent Behavior in Complex Systems Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23666ddbc0e592b4d833e24474d8de65
https://doi.org/10.1002/9781119378952.ch10
https://doi.org/10.1002/9781119378952.ch10
Publikováno v:
Agent-based Modeling of Tax Evasion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54753922de19005c8e34ede3f1b6a0fd
https://doi.org/10.1002/9781119155713.ch1
https://doi.org/10.1002/9781119155713.ch1
Autor:
Matthew T. K. Koehler, Shaun Michel, David Slater, Christine Harvey, Kevin T. Comer, Amanda Andrei
Publikováno v:
Agent-based Modeling of Tax Evasion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9563110f48789eadd230755b78f5fdb1
https://doi.org/10.1002/9781119155713.ch8
https://doi.org/10.1002/9781119155713.ch8
Publikováno v:
Unifying Themes in Complex Systems IX ISBN: 9783319966601
Natural complex adaptive systems are of particular scientific interest in many domains, as they may produce something new, like structures, patterns, or properties, that arise from the rules of self-organization. These novelties are emergent if they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b81d633a892524e059a662d3b70ce07f
https://doi.org/10.1007/978-3-319-96661-8_1
https://doi.org/10.1007/978-3-319-96661-8_1