Publications
- Reid Dale, Jordan Rodu, Maria E. Currie, Mike Baiocchi Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets. Submitted.
- Brad Rodu, Nantaporn Plurphanswat, and Jordan Rodu (2025) Inaccurate and misleading meta-analysis of E-cigarettes and population-based diseases.. Internal and Emergency Medicine Volume 20.
- Amelia Bruce Leicht, Xavier Thompson , Robin Queen , Jordan Rodu , Michael Higgins , Kevin Cross , Brian Werner , Jacob Resch , Joseph Hart (2024) Comparison of Limb Loading Characteristics and Subjective Functional Outcomes Between Sexes Following ACLR. Journal of Athletic Training Volume 59.
- Jordan Rodu, Alexandra F Dejong Lempke, Natalie Kupperman, Jay Hertel (2024) On Leveraging Machine Learning in the Sports Sciences in the Hypothetico-deductive Framework. Sports Medicine – Open Volume 10.
- Bruce Leicht, Amelia S., Xavier D. Thompson, Robin M. Queen, Jordan S. Rodu, Michael J. Higgins, Kevin M. Cross, Brian C. Werner, Jacob E. Resch, and Joe M. Hart (2024) Analysis of Limb Loading and Lower Extremity Strength Recovery across Time after Anterior Cruciate Ligament Reconstruction. Sports Health Volume 55.
- Jordan Rodu, Alexandra F Dejong Lempke Plot panel analysis. Submitted.
- Jordan Rodu, Karen Kafadar The likelihood ratio plot. Submitted.
- Noah Gade, Jordan Rodu Nonlinear Permuted Granger Causality. Submitted.
- Noah Gade, Jordan Rodu Change Point Detection With Conceptors. Submitted.
- Tianyuan Zhou, Joao Sedoc, Jordan Rodu Markov-Switching Dynamical Systems on Stock Volatility. Submitted.
- Xiaoyuan Ma, Jordan Rodu Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models. Submitted.
- Xiaoyuan Ma, Tianyuan Zhou, Jordan Rodu Locally Hierarchical Graphical Models. Submitted.
- Alexandra F Dejong Lempke, Joseph M Hart, David J Hryvniak, Jordan Rodu, Jay Hertel (2024) Transference of Outdoor Gait-Training to Treadmill Running Biomechanics and Strength Measures: A Randomized Controlled Trial.. Journal of Biomechanics Volume 168.
- Jordan Rodu, Michael Baiocchi (2023) When black box algorithms are (not) appropriate. Observational Studies.
- Alexandra F Dejong Lempke, Stephanie L Stephens, Pamela N Fish, Xavier D Thompson, Joseph M Hart, David J Hryvniak, Jordan Rodu, Jay Hertel (2023) Running-Related Injuries Captured Using Wearable Technology during a Cross-Country Season: A Preliminary Study. Translational Journal of the ACSM 8(1):e000217.
- Alexandra F Dejong Lempke, Stephanie L Stephens, Pamela N Fish, Xavier D Thompson, Joseph M Hart, David J Hryvniak, Jordan Rodu, Jay Hertel (2022) Sensor-based gait training to reduce contact time for runners with exercise-related lower leg pain: a randomised controlled trial. BMJ Open Sport and Exercise Medicine 3;8(4):e001293.
- Sean A Klein, Michael Baiocchi, Jordan Rodu, Heather Baker, Erica Rosemond, Jamie Mihoko Doyle (2022) An analysis of the Clinical and Translational Science Award pilot project portfolio using data from Research Performance Progress Reports. Journal of Clinical and Translational Science 18;6(1):e113.
- Alexandra F Dejong Lempke, Joseph M Hart, David J Hryvniak, Jordan Rodu, Jay Hertel (2022) Prospective running assessments among division I cross-country athletes. Physical Therapy in Sport Volume 55.
- Alexandra F Dejong Lempke, Joseph M Hart, David J Hryvniak, Jordan Rodu, Jay Hertel (2021) Use of wearable sensors to identify biomechanical alterations in runners with Exercise-Related lower leg pain. Journal of Biomechanics Volume 126.
- Jordan Rodu, Karen Kafadar (2021) The q–q Boxplot. Journal of Computational and Graphical Statistics 31:1, 26-39.
- Jordan Rodu (2021) Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi, Damon Mayaffre and Michelangelo Misuraca Springer, 2020, xi + 302 pages, £95.50, eBook ISBN: 978-3-030-52680-1. International Statistical Review Volume 89, Issue 2.
- Michael Baiocchi, Jordan Rodu (2021) Reasoning Using Data: Two Old Ways and One New. Observational Studies Volume 7, Issue 1.
- Tianyuan Zhou, Joao Sedoc, Jordan Rodu (2019) Getting in Shape: Word Embedding SubSpaces. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence.
- Jordan Rodu, Natalie Klein, Scott L. Brincat, Earl K. Miller, Robert E. Kass (2018) Detecting multivariate cross-correlation between brain regions. Journal of Neurophysiology 120(4):1962-1972.
- Robert E. Kass et. al (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application Vol. 5:183-214.
- Josue Orellana, Jordan Rodu, Robert E. Kass (2017) Population Vectors Can Provide Near Optimal Integration of Information. Neural Computation 29(8):2021-2029.
- Jordan Rodu, Dean P. Foster, Weichen Wu, Lyle H. Ungar (2013) Using Regression for Spectral Estimation of HMMs. Statistical Language and Speech Processing - First International Conference. Proceedings. Lecture Notes in Computer Science 7978, Springer.
- Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar (2012) Spectral Dependency Parsing with Latent Variables. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.
- Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar (2012) Two step CCA: a new spectral method for estimating vector models of words. Proceedings of the 29th International Coference on International Conference on Machine Learning.
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