Publications: Statistics Living-Learning Community


Publications by STAT-LLC students and/or related to the STAT-LLC

Students from the STAT-LLC are indicated with one asterisk (*).
Mentors from the STAT-LLC are indicated with two asterisks (**).
  1. Eden Holmes and Abigael Johnson*, Out of the Box: Honors College in Action, Journal of Purdue Undergraduate Research, volume 4, pages 96--97 (2014); pdf download.
  2. Manjie Fu*, Lingsong Zhang**, Azza Ahmed, Karen Plaut, David M. Haas, Kinga Szucs, and Theresa M. Casey, Does circadian disruption play a role in the metabolic-hormonal link to delayed lactogenesis II? Frontiers in Nutrition, volume 2, number 4 (2015). Journal link; pdf download; 2711 total views of the journal article link from Frontiers in Nutrition, as of February 14, 2017.
  3. Mark Daniel Ward**, Learning communities and the undergraduate statistics curriculum (a response to "Mere renovation is too little too late" by George Cobb), The American Statistician, volume 69, posted as online article, in a supplement to issue 4 (2015); pdf download.
  4. J. Hardin, R. Hoerl, N. J. Horton, and D. Nolan, with B. Baumer, O. Hall-Holt, P. Murrell, R. Peng, P. Roback, D. Temple Lang, and M. D. Ward**, Data Science in the Statistics Curricula: Preparing Students to "Think with Data," The American Statistician, volume 69, pages 343--353 (2015); pdf download.
  5. Ashley Peterson* and Emily Martin* (faculty sponsor: Mark Daniel Ward**), Filling in the Gaps: Using Multiple Imputation to Improve Statistical Accuracy, Rose-Hulman Undergraduate Mathematics Journal, volume 17, issue 2, article 11, 25 pages (2016); pdf download.
  6. Mark Daniel Ward** and Ellen Gundlach, Introduction to Probability (Freeman, 2015), book homepage.
  7. Mark Daniel Ward**, Building Bridges: The Role of an Undergraduate Mentor, The American Statistician, volume 71, pages 30--33 (2017); pdf download.
  8. Weston Phillips*, Peter Boyd* (faculty sponsor: Michael Baldwin**), Predicting Surface Temperatures of Roads: Utilizing a Decaying Average in Forecasting, Journal of Purdue Undergraduate Research, volume 6, pages 9--15 (2016); pdf download.
  9. Peter Boyd*, A Longer Survey is Not Necessarily a Better Survey: A Time Series Analysis. Internal report written and submitted during Procter and Gamble internship, 2016.
  10. Peter Boyd*, Cluster Analysis: A New Perspective on Product Ratings. Internal report written and submitted during Procter and Gamble internship, 2016.
  11. Peter Boyd*, Introduction to RStudio: Statistical Analysis Methods. Internal report written and submitted during Procter and Gamble internship, 2016.
  12. Peter Boyd*, Analyzing the effect of traffic on wildlife viewings in Denali National Park: a regression analysis. Report submitted to Denali National Park. Report was also Peter Boyd's Honors Thesis.
  13. David Banks and Mark Daniel Ward**, Advice for Those Applying to Graduate School, Amstat News, issue 464, 31-33, Feb. 2016, pdf download.
  14. K. Das, M. Jackson, S. Keller, D. LaLonde, S. Shipp, J. Utts, and M. D. Ward**, ASA Receives Grant to Establish Series of REUs, Amstat News, issue 466, 20-21, Apr. 2016, pdf download.
  15. Mark Daniel Ward**, Peer-to-Peer Mentoring: How It Fits into the Statistics Living Learning Community at Purdue, Amstat News, issue 471, 28-31, Sep. 2016, pdf download, or online version.
  16. Donna LaLonde and Mark Daniel Ward**, Active Learning Focus of CBMS Joint Statement, Amstat News, issue 477, 26, Mar. 2017, pdf download, or online version.
  17. Karan Samel*, Xiao Wang**, and Qiang Liu, Predicting Advertisement Clicks using Deep Networks, Journal of Purdue Undergraduate Research, volume 7, pages 50--56 (2017).
  18. Patrick Gallagher*, Bruce A. Craig**, Tim Luttermoser, and Grzegorz Buczkowski, Paired Competition Analysis using Mixed Models, Proceedings of the 2016 Conference on Applied Statistics in Agriculture, accepted for publication.
  19. Erin Bossen, Brian Kidd*, Owen Levin, Jonathon Peterson, Jacob Smith, Kevin Stangl, Upper and Lower Bounds on the Speed of a One Dimensional Excited Random Walk, submitted for publication.
  20. Peter Boyd*, Brian Kidd*, Christopher Vincent*, How Important Is Week One of the NFL Season? A Probability Model and Simulation, submitted for publication.
  21. Brandon Boor, Manjie Fu, and collaborators, The Infant Playpen Effect: Crawling-Induced Dust Resuspension as a Major Source of Particulate Matter in the Infant Breathing Zone, manuscript in preparation.
  22. Abigael Johnson*, The Effects of an Empirically-Based Wise Intervention on Attitudes Toward Diversity; this was Abigael's Honors Thesis.
  23. Abigael Johnson* and Dana Tomeh, The Bystander Effect: Societal and Academic Implications of a Neglected Sexuality, Journal of Purdue Undergraduate Research, volume 7, pages 73--74 (2017).
  24. Frederi Viens**, Brian Kidd*, Mikaela Meyer*, Jacques Lemoalle, Otto Doering, Molly Brown, Carolyn Johnston, Nicole Kong, Attribution of factors in Lake Chad's variations: a Bayesian approach, in preparation.
  25. Frederi Viens**, Brian Kidd*, Mikaela Meyer*, Jacques Lemoalle, Otto Doering, Molly Brown, Carolyn Johnston, Nicole Kong, Africa's Great Oasis: The Changing Environments of Lake Chad, preliminary report contained in the 2015 Annual Report for the Purdue Climate Change Research Center, pages 14-15, LakeChad.pdf.
  26. H. Hall, P. Medina, J. Rounds, C. Vincent, R. Doerge, and V.M. Weake, Differential susceptibility of genes to transcriptional decline in aging Drosophila sensory neurons, submitted for publication.
  27. Bo Fu, Anup Mohan, Yifan Li, Sanghyun Cho, Kent Gauen*, and Yung-Hsiang Lu, Parallel Video Processing using Embedded Computer, IEEE Global Conference on Signal and Information Processing 2017
  28. Kent Gauen*, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, and Shu-Ching Chen, Comparison of Visual Datasets for Machine Learning, Proceedings of IEEE Conference on Information Reuse and Integration 2017
  29. Kent Gauen, Rohit Rangan, Anup Mohan, Yung-Hsiang Lu, Wei Liu, Alexander C Berg, Low-Power Image Recognition Challenge, Asia and South Pacific Design Automation Conference 2017
  30. Anup Mohan, Kent Gauen, Yung-Hsiang Lu, Wei Wayne Li, Xuemin Chen, Internet of Video Things in 2030: a World with Many Cameras, IEEE International Symposium of Circuits and Systems 2017
  31. Kent Gauen* and Xiao Wang**, Machine Learning Introduction With MNIST Dataset, manuscript in preparation.
  32. Bridget Curry, Teresa Kennelly*, Sara King, and Connor D. Rose, Out of the Box: Homegrown in Greater Lafayette, Journal of Purdue Undergraduate Research, volume 7, pages 92--95 (2017).
  33. Jack VanSchaik*, Spatial Soundscape Ecology: Application in a Paleotropical Rainforest, Journal of Purdue Undergraduate Research, volume 7, pages 65--71 (2017).
  34. Kristen Bellisario, Jack VanSchaik*, Zhao Zhao, John Dunning, Bryan Pijanowski**, Using Time-Series Analysis to Quantify Soundscape Changes From A Cultural Loud Sound Event, manuscript in progress.
  35. Mikaela Meyer*, Creating a Scorecard for a Data Integration Product. Internal report written and submitted during Nielsen internship, 2017.
  36. Rich Gorbett*, Viewing client Loan IQ bills in CLP. Internal report written and submitted to JP Morgan Chase and Co., 2017.
  37. Stevie Norcross, Keelan Trull, Jordan Snaider, Sara Doan, Kiet Tat*, Libai Huang, and Mathew Tantama, Constructing Red-Shifted Fluorescent Protein Sensors of Cellular Redox Status, FASEB Journal, volume 31, April 2017, supplement 1.
Conference presentations and/or posters arising from the STAT-LLC

Students from the STAT-LLC are indicated with one asterisk (*).
Mentors from the STAT-LLC are indicated with two asterisks (**).
  1. Felix Francisco-Sanchez*, McKeith Pearson, Michael Young, Walid Sharabati, and R. Claudio Aguilar**, Quantitative Analysis of Yeast Cell Morphology Defects Induced by Gene De-Regulation, hosted on YouTube and presented at the Virtual Brown Bag Research Discussion Series, Center for Science of Information, March 31, 2016.
  2. Peter Boyd*, Brian Kidd*, Christopher Vincent*, Weston Phillips*, How Important Is Week One of the NFL Season? A Probability Model and Simulation, Undergraduate Research and Poster Symposium, April 12, 2016.
  3. Felix Francisco-Sanchez*, McKeith Pearson II, Michael Young, Walid Sharabati, and R. Claudio Aguilar**, Classifying Yeast Cell Phenotypes Using Cell Morphology, Student Poster Session in Discovery Park at Purdue University, April 21, 2016.
  4. Patrick Gallagher*, Bruce A Craig**, Tim Luttermoser, and Grzegorz Buczkowski, Paired Competition Analysis using Mixed Models, Undergraduate Research and Poster Symposium at Purdue University, April 12, 2016.
  5. Patrick Gallagher*, Bruce A Craig**, Tim Luttermoser, and Grzegorz Buczkowski, Paired Competition Analysis using Mixed Models, Conference on Applied Statistics in Agriculture at Kansas State University, May 3, 2016.
  6. Karly Rushmore, Aaron Brehm*, Laura E. D'Acunto, and Patrick Zollner**, Investigating the Impact of Local Versus Landscape-Level Variables on Bat Species Occupancy in Indiana, 8th Annual Midwest Bat Working Group meetings at The Ohio State University, April 21, 2016.
  7. Kristen Mori* and Jack VanSchaik*, Statistical Soundscape Ecology: Entropy and Phase Transition Analysis of Big Sound Data, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 22, 2016.
  8. Kent Gauen*, An Overview of Machine Learning using MNIST Dataset, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 23, 2016.
  9. Alan Min*, Population Balance Model for DNA Methylation, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 23, 2016.
  10. Karan Samel*, Predicting Advertisement Clicks Using Deep Learning, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 23, 2016.
  11. Sameer Manchanda*, Mikaela Meyer*, and Nan Kong**, On Comprehensive Mass Spectrometry Data Analysis for Proteomic Profiling of Biological Samples, presented at the Symposium on Big Data, Human Health and Statistics, at the University of Michigan, on July 21, 2016.
  12. Kent Gauen*, Fundamental Supervised Machine Learning Models, presented at the Symposium on Big Data, Human Health and Statistics, at the University of Michigan, on July 21, 2016.
  13. Abigail Vorhies* and Bailey O'Malley*, Linking Mesodinium Bloom Timing with River Flow Discharge and Estuarine Classification in the Columbia River Estuary, presented in summer 2015 at the NSF Center for Coastal Margin Observation and Prediction, in Portland, Oregon.
  14. Erin Bossen, Brian Kidd*, Owen Levin, Jonathon Peterson, Jacob Smith, Kevin Stangl, Upper and Lower Bounds on the Speed of a One Dimensional Excited Random Walk, presented at the Indiana Undergraduate Math Research Conference, on July 25, 2016.
  15. Sameer Manchanda*, Mikaela Meyer*, Nan Kong**, Qianqian Li, Yan Li, On Comprehensive Mass Spectrometry Data Analysis for Quality Assessment of Biological Samples (Mass Spectrometry Data Analysis for Mass-to-Charge Signature Identification: Applications in Biosample Quality Control), 1 of 7 finalists for the 2016 INFORMS Undergraduate O.R. (Operations Research) Prize Competition, November 13, 2016.
  16. Weake, V.M. et al. (includes Christopher Vincent* and Rebecca Doerge**) Age-related transcription changes in photoreceptor neurons are light-dependent. Genetics Society of America, Drosophila Meeting, San Diego, March 28-April 2, 2017.
  17. Sameer Manchanda*, Mikaela Meyer*, Qianqian Li, Nan Kong**, Kai Liang and Yan Li, On Comprehensive Mass Spectrometry Data Analysis for Proteome Profiling of Human Blood Samples, presented at Data Mining for Medicine and Healthcare with SIAM Data Mining 2017 (SDM 2017), on April 29, 2017.
  18. Weake, V.M. et al. (includes Christopher Vincent* and Rebecca Doerge**) Age-related transcription changes in photoreceptor neurons are light-dependent. ARVO, Baltimore, MD, May 8-11, 2017.
  19. Weake, V.M. et al. (includes Christopher Vincent* and Rebecca Doerge**) Differential susceptibility of genes to transcriptional decline in aging Drosophila sensory neurons. Gordon Conference on Aging. Les Diablerets, Switzerland, July 9-14, 2017.
  20. Graciany Lebron Rodriguez*, Vetria Byrd**, and Mark Daniel Ward**, Exploring Theoretical Foundations of the Underpinnings of Big Data Analytics for Visualizing Heterogeneous Systemic Lupus Erythematosus (SLE) Data, presented at Purdue University's Summer Research Opportunities Program (SROP), on July 26, 2017.
  21. Bret Benesh, Jamylle Carter, Deidra Coleman, Jack Good*, Michael Smith*, Jennifer Travis, and Mark Daniel Ward**, Periodicity in Game Theory, presented at the Joint Statistical Meetings, on July 31, 2017.
  22. Maggie Christy*, David Ross**, Pazit Sankey**, Susan Scott**, Sarah Wang**, and Mark Daniel Ward**, Quality Control of Blood Sample Analysis for Transplant Patients, presented at the Joint Statistical Meetings, on July 31, 2017. Preliminary version also presented at the Midwest Women in Math Symposium on February 25, 2017 at IUPUI.
  23. Brian French*, Nicole Markley*, Laszlo Csonka**, and Mark Daniel Ward**, Rates of DNA Mutation in Genes and Inte-Gene Regions, presented at the Joint Statistical Meetings, on July 31, 2017.
  24. Elle Tigner* and Jennifer Neville**, An Analysis of Network Discussion Trends in Twitter Using Hashtag Clusters, presented at the Joint Statistical Meetings, on July 31, 2017.
  25. Kent Gauen*, Yuxiang Zi, John Laiman, Nirmal Asokan and Yung-Hsiang Lu**, CAM2 Network Camera Object Detection Dataset and Analysis, presented at the Joint Statistical Meetings, on July 31, 2017.
  26. Brittany Griggs*, Swetha Ramadesikan, and Ruben Claudio Aguilar**, Changes in Cell Structure and Spreading from Lowe Syndrome, presented at the Joint Statistical Meetings, on July 31, 2017.
  27. Emma Beck*, Zoe Danielle Phillips*, and Bryan Pijanowski**, Soundscape Ecology and Daily Trends of Acoustic Indices, presented at the Joint Statistical Meetings, on July 31, 2017.
  28. Mark Daniel Ward** and Fulya Gokalp Yavuz, Fostering Undergraduate Data Science, presented at the Joint Statistical Meetings, on July 31, 2017.
  29. Alan Min* and Doraiswami Ramkrishna**, Diffusion Dependent Methylation Mechanics, presented at the Joint Statistical Meetings, on August 1, 2017.
  30. Manjie Fu* and Brandon E. Boor, Infant Exposure to Resuspended Particles from Carpeted Flooring: Experimental Chamber Study with a Simplified Mechanical Crawling Infant, presented at Purdue University's Summer Undergraduate Research Fellowship (SURF) Symposium, on August 4, 2016.
  31. Manjie Fu*, Crawling-Induced Resuspension as a Major Source of Particulate Matter in the Infant Breathing Zone, Undergraduate Research and Poster Symposium, April 11, 2017.
  32. Abigael Johnson*, Alemán and Cervantes: Story Versus Argument, Undergraduate Research and Poster Symposium, April 11, 2017.
  33. Abigael Johnson* and M. J. Monteith, The Effects of an Empirically-Based Wise Intervention on Attitudes Toward Diversity. Poster presented at the Purdue University 2017 Psychological Sciences Departmental Poster Session. Poster also displayed at Purdue University Honors College Medallion Ceremony, May 10, 2017.
  34. Elizabeth Coppola, Sharon Christ**, and Abigael Johnson*, The Lasting Mental Health Burden of Experiencing Parental Psychological Neglect in Adolescence. Paper presented at the Add Health User's Conference, Bethesda, MD, in June 2016. Journal version in preparation.
  35. Kent Gauen* and Xiao Wang**, Fundamental Unsupervised Machine Learning Models, presented at Undergraduate Mathematics Symposium, at University of Illinois at Chicago, on October 15, 2016
  36. Kent Gauen* and Xiao Wang**, Fundamental Unsupervised Machine Learning Models, presented at the Undergraduate Statistical Conference, at Howard University, on September 24, 2016
  37. Kristen Bellisario, Jack Vanschaik*, Zhao Zhao, Hichem Omrani, Amandine Gasc, Bryan Pijanowski**, Musicological Indices for Soundscape Ecological Analysis, Poster Presented at Acoustical Society of America Conference, June 2017.
  38. Jack VanSchaik*, Kristen Bellisario, Amandine Gasc, and Bryan Pijanowski**, Spatial Soundscape Ecology: Application in a Paleotropical Rainforest, Research talk given at GSSN Conference, July 2016. Poster presented at Acoustical Society of America Conference, June 2017.
  39. Jack VanSchaik* and Steve Bell, A Real Variable Equivlance of the Riemann Hypothesis Using Step Functions, Presentation for Purdue University's College of Science Alumni Board, 2017
  40. Alan Min*, Yuzheng Hu, Thomas Ross, Elliot A. Stein, Betty Jo Salmeron, Human Subtypes Based on Static and Dynamic rsfMRI Data, poster presented at the NIH, summer 2017.
  41. James Marshall Reber, Methods for Improving the Lower Bound of R(5,5), presented at MathFest 2017.
  42. Bret Benesh, Jamylle Carter, Deidra Coleman, Jack Good*, Michael Smith*, Jennifer Travis, and Mark Daniel Ward**, Periodicity in Game Theory, presented at MathFest 2017.
  43. Miranda Champion*, Applying Big Data Analysis to Particle Physics, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 21, 2017.
  44. Brittany Griggs*, Changes in Cell Structure and Spreading from Lowe Syndrome, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 21, 2017.
  45. Peyton Puckett*, Automating the Effective Fragment Potential Method, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 21, 2017.
  46. Michael Smith* and Jack Good*, Periodicity of Subtraction Games, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 22, 2017, First Place (overall conference prize).
  47. Amber Young*, Donglai Chen, and Jun Xie**, Reanalysis of Cancer Immunotherapy Clinical Data to Elucidate Genetic information of Immunotherapy Response, presented at the Rose Hulman Undergraduate Mathematics Conference, on April 22, 2017, Second Place (overall conference prize).


This material is based upon work supported by the National Science Foundation under Grant No. 1246818. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.