Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Immigration Offenses Throughout Federal Sentencing: An Analysis Of The Impact Of Political Affiliation Among Districts, Robin Hood
All Master's Theses
Immigration has remained one of the most controversial political debates throughout the United States. Research has yet to fully examine the effects of political affiliation of federal districts on sentencing outcomes for specific immigration offenses. To fill the gaps in research, this study compares political affiliation of federal districts among immigration offenses to determine variations in sentencing outcomes. Data included Presidential and House of Representative votes for the 2016 election and Monitoring of Federal Sentencing for the fiscal years of 2015-2016. Analysis includes case processing/legal variables, defendant characteristics, and political affiliation. To analyze political affiliation, a binary logistic regression was …
Detecting Patterns Of Fraudulent Behavior In Forensic Accounting, Boris Kovalerchuk, Evgenii Vityaev
Detecting Patterns Of Fraudulent Behavior In Forensic Accounting, Boris Kovalerchuk, Evgenii Vityaev
All Faculty Scholarship for the College of the Sciences
Often evidence from a single case does not reveal any suspicious patterns to aid investigations in forensic accounting and other forensic fields. In contrast, correlation of sets of evidence from several cases with suitable background knowledge may reveal suspicious patterns. Link Discovery (LD) has recently emerged as a promising new area for such tasks. Currently LD mostly relies on deterministic graphical techniques. Other relevant techniques are Bayesian probabilistic and causal networks. These techniques need further development to handle rare events. This paper combines first-order logic (FOL) and probabilistic semantic inference (PSI) to address this challenge. Previous research has shown this …