Vic V. Anand

Journal Publications

• Anand, V., Balakrishnan, R., and N. Gavirneni. Capacity Planning with Limited Information. Production and Operations Management​ 32(9): 2740-2757. https://doi.org/10.1111/poms.14004 Abstract SSRN page​
• Anand, V., Webb, A., and C. Wong. Mitigating the Demotivating Effects of Frequent Unfavorable Feedback about Goal Progress. Journal of Management Accounting Research 35(2): 5-32. https://doi.org/10.2308/JMAR-2021-044 Abstract SSRN page
• Anand, V., Bochkay, K., Chychyla, R., and A.J. Leone (2020). Using Python for Text Analysis in Accounting Research. Foundations and Trends in Accounting 14 (3-4): 128-359. http://dx.doi.org/10.1561/1400000062 Abstract SSRN page
• Anand, V., Balakrishnan, R., and E. Labro (2019). A Framework for Conducting Numerical Experiments on Cost System Design. Journal of Management Accounting Research 31(1): 41-61. https://doi.org/10.2308/jmar-52057 Abstract SSRN page Computer code
• Anand, V., Balakrishnan, R., and E. Labro (2017). Obtaining Informationally Consistent Decisions When Computing Costs with Limited Information. Production and Operations Management​ 26(2): 211-230. https://doi.org/10.1111/poms.12631 Abstract SSRN page​
• Valero-Cuevas, F.J., Anand, V.V., Saxena, A., and Lipson, H. (2007). Beyond Parameter Estimation: Extending Biomechanical Modeling by the Explicit Exploration of Model Topology. IEEE Transactions on Biomedical Engineering 54 (11): 1951 – 1964. https://doi.org/10.1109/TBME.2007.906494 Abstract

Conference Publications

• Anand, V., Lipson, H., and Valero-Cuevas, F., Blind Inference of Nonlinear Cable Network Topology from Sparse Data. Proceedings of the 2005 Genetic and Evolutionary Computation Conference, June 2005, Washington, DC, USA. Late-breaking paper.
• Valero-Cuevas, F.J., Lipson, H., Santos, V.J., and Anand, V. Shifting to Population-Based Models and Inferring Model Structure from Data are Two Directions That Will Enhance the Clinical Usefulness of Modeling. Proceedings of the ISB XXth Congress and ASB 29th Annual Meeting, August 2005, Cleveland, OH, USA.
• Spears, W.M. and Anand, V. A Study of Crossover Operators in Genetic Programming. Sixth International Symposium of Methodologies for Intelligent Systems, 1991.

Working Papers

• "Predicting Profitability Using Machine Learning," with Robert Brunner (UIUC), Kelechi Ikegwu (UIUC), and Theo Sougiannis (UIUC). Abstract SSRN page
• "Life Cycle Models versus Random Walk in Forecasting Growth and Profitability," with Theo Sougiannis (UIUC) and Egor Nikulin (Saint Petersburg State University).
• "Fundamental Analysis Using Machine Learning," with Theo Sougiannis (UIUC) and Anurag Anand (Capital One).
• "Target Horizons, Uncertainty, and Effort Provision". Abstract SSRN page
• "Updating Cost Systems," with Ramji Balakrishnan (The University of Iowa) and Eva Labro (University of North Carolina at Chapel Hill). Abstract