1. The Relationship between Fraudulent Financial Statements, Variations from Benford’s Law, and SEC Punishments Open Access Author: Mc Farland, Antoinette Title: The Relationship between Fraudulent Financial Statements, Variations from Benford’s Law, and SEC Punishments Area of Honors: Accounting Keywords: FraudBenford's LawFraud DetectionForensic Accounting File: Download McFarland_Thesis_Final_Submission.pdf Thesis Supervisors: Samuel Burton Bonsall, IV, Thesis SupervisorSamuel Burton Bonsall, IV, Thesis Honors AdvisorBrent Schmidt, Faculty Reader
2. Advanced Techniques for Fraudulent Transaction Detection: A Statistical and Machine Learning Approach Restricted (Penn State Only) Author: Kakkar, Sagan Title: Advanced Techniques for Fraudulent Transaction Detection: A Statistical and Machine Learning Approach Area of Honors: Statistics Keywords: Machine LearningStatisitical AnalysisFraud DetectionData ScienceStatisitcs File: Login to Download Thesis Supervisors: Yubai Yuan, Thesis SupervisorJohn Yen, Thesis Honors AdvisorCindy Lin, Faculty Reader