% References for ERP Synthetic Data Generator
% Cite individual entries by the keys below, e.g. \cite{xia2023retailsynth}.

@misc{microsoft_adventureworks,
  author       = {{Microsoft}},
  title        = {{AdventureWorks Sample Databases}},
  howpublished = {SQL Server documentation},
  url          = {https://learn.microsoft.com/en-us/sql/samples/adventureworks-install-configure},
  note         = {Accessed in 2026.}
}

@article{xia2023retailsynth,
  title   = {{RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation}},
  author  = {Xia, Yu and Arian, Ali and Narayanamoorthy, Sriram and Mabry, Joshua},
  year    = {2023},
  journal = {arXiv preprint},
  volume  = {abs/2312.14095},
  url     = {https://arxiv.org/abs/2312.14095},
  doi     = {10.48550/arXiv.2312.14095}
}

@article{xia2024evaluating,
  title   = {{Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data}},
  author  = {Xia, Yu and Wang, Chi-Hua and Mabry, Joshua and Cheng, Guang},
  year    = {2024},
  journal = {arXiv preprint},
  volume  = {abs/2406.13130},
  url     = {https://arxiv.org/abs/2406.13130},
  doi     = {10.48550/arXiv.2406.13130}
}

@article{fader_hardie_lee_2005_bgnbd,
  title   = {``Counting Your Customers'' the Easy Way: An Alternative to the {Pareto/NBD} Model},
  author  = {Fader, Peter S. and Hardie, Bruce G. S. and Lee, Ka Lok},
  journal = {Marketing Science},
  volume  = {24},
  number  = {2},
  pages   = {275--284},
  year    = {2005},
  doi     = {10.1287/mksc.1040.0098},
  url     = {https://www.brucehardie.com/papers/bgnbd_2004-04-20.pdf}
}

@article{fader_hardie_2009_probability_models,
  title   = {Probability Models for Customer-Base Analysis},
  author  = {Fader, Peter S. and Hardie, Bruce G. S.},
  journal = {Journal of Interactive Marketing},
  volume  = {23},
  number  = {1},
  pages   = {61--69},
  year    = {2009},
  doi     = {10.1016/j.intmar.2008.11.003},
  url     = {https://faculty.wharton.upenn.edu/wp-content/uploads/2012/04/Fader_hardie_jim_09.pdf}
}

@incollection{mcfadden_1974_conditional_logit,
  title     = {Conditional Logit Analysis of Qualitative Choice Behavior},
  author    = {McFadden, Daniel},
  booktitle = {Frontiers in Econometrics},
  editor    = {Zarembka, Paul},
  pages     = {105--142},
  publisher = {Academic Press},
  year      = {1974},
  url       = {https://eml.berkeley.edu/reprints/mcfadden/zarembka.pdf}
}

@article{mcfadden_train_2000_mixed_mnl,
  title   = {Mixed {MNL} Models for Discrete Response},
  author  = {McFadden, Daniel and Train, Kenneth},
  journal = {Journal of Applied Econometrics},
  volume  = {15},
  number  = {5},
  pages   = {447--470},
  year    = {2000},
  doi     = {10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1},
  url     = {https://pages.stern.nyu.edu/~wgreene/DiscreteChoice/Readings/McFadden-Train.pdf}
}

@misc{mcfadden_2001_nobel_lecture,
  author       = {McFadden, Daniel},
  title        = {{Economic Choices}},
  howpublished = {Nobel Lecture, December 8, 2000},
  year         = {2001},
  url          = {https://eml.berkeley.edu/~mcfadden/nobel/final-nobel.pdf}
}

@misc{faker_python,
  author       = {Faraglia, Daniele and others},
  title        = {{Faker: Python package for fake data generation}},
  url          = {https://faker.readthedocs.io/}
}

@article{fader_hardie_shang_2010_discrete_time,
  title   = {Customer-Base Analysis in a Discrete-Time Noncontractual Setting},
  author  = {Fader, Peter S. and Hardie, Bruce G. S. and Shang, Jen},
  journal = {Marketing Science},
  volume  = {29},
  number  = {6},
  pages   = {1086--1108},
  year    = {2010},
  doi     = {10.1287/mksc.1100.0580},
  url     = {https://www.brucehardie.com/papers/020/fader_et_al_mksc_10.pdf}
}