Ryan Warnick Phd.

Publications and Awards

Publications

  1. Dirichlet Process Projections
    Preprint, ResearchGate (2025)
    Warnick, R.
  2. Differential-Geometric Analaysis of Agentic Conversion Flows Using Affine Hilbert Manifold Decision Boundaries Between Gaussian Process Approximations to Latent Conversational Embeddings
    Preprint, ResearchGate(2025)
    Warnick, R.
  3. Bayesian Decision Theory for Gaussian Process Models: With Some Results on Loss Function Equivalence and a Decision Theoretic Extension Theorem
    Preprint, ResearchGate(2025)
    Warnick, R.
  4. A Detailed Survey on Spatial Dirichlet Processes with Gaussian Process Base Measures
    Preprint, ResearchGate(2025)
    Warnick, R.
  5. Decision Theory for Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
    Preprint, ArXiv(2025)
    Warnick, R.
  6. Incorporating Taxonomies of Cyber Incidents into Detection Networks for Improved Detection Performance
    Preprint, ArXiv (2025)
    Warnick, R.
  7. A Predictor-Informed Multi-Subject Bayesian Approach for Dynamic Functional Connectivity
    PLOS ONE (2024)
    Lee, J., Hussain, S., Warnick, R., Vannucci, M., Menchaca, I. , Seitz, A. R., Hu, X., Peters, M. A. K., Guindani, M.
  8. Bayesian AVA Elastic Seismic Inversion using Stein Variational Gradient Descent (SVGD)
    European Association of Geoscientists and Engineers Conference Proceedings (2023)
    Biswas, R., Walker, M., Zhang, J., Paramo, P. , Wolf, K., Gerth, S., Winterbourne, J., Roy, A., Morris, P., Decalf, C., Zheng, Y., Warnick, R.
  9. Gaussian Mixture Models as Priors in a Gradient-Based Variational Algorithm for Bayesian Elastic Inversion
    European Association of Geoscientists and Engineers Conference Proceedings (2023)
    Walker, M., Paramo, P. , Wolf, K., Zhang, J., Biswas, R., Gerth, S., Winterbourne, J., Morris, P., Decalf, C., Cook, P., Verhaeghe, J., Brown, R., Packer, K., Zheng, Y., Warnick, R.
  10. Got Noisy Impedance? Try This

    Society of Exploration Geophysicists Conference Proceedings (2022)
    Zhang, J., Biswas, R., Kumar, D., Walker, M. Paramo, P., Wolf, K., Yusifov, A. Gerth, S., Winterbourne, J., Liu, Q., Liu, X., Zheng, Y., Warnick, R.

  11. Using Mixture Density Networks for Uncertainty and Prediction in Seismic Reservoir Characterization
    Society of Exploration Geophysicists Conference Proceedings (2022)
    Rosenbaum, C., Warnick, R., Yusifov, A., Biswas, R., Roy, A.
  12. A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
    Journal of the American Statistical Association (2018)
    Warnick, R.     , Guindani, M. , Erhardt, E. , Allen, E. , Calhoun, V. , Vannucci, M.

Patents

  1. Method and Apparatus for Seismic Data Inversion
     British Petroleum US Patent Application Serial No. 5181565515 (2023)
    Zheng, Y. , Walker, M. , Biswas, R. , Zhang, J. , Warnick, R. , Paramo, P. , Wolf, K.

Dissertation
Bayesian Joint Graphical Modeling Approaches for Covariance and Dynamic Functional Connectivity
Analysis from Neuro-Imaging Data

Non Peer Reviewed Technical Work and Notes

  1. Technical Report on Bayesian Computation for Intractable Posteriors with a Fixed Prior and Varying Data
  2. Unfinished Notes Containing Some Results on Contraction Rates of Spatial Dirichlet Process Models
  3. Unfinished Notes Containing Some Results on Convolutions of Spatial Dirichlet Process Models With White Noise Base Measure

Awards and Support

  • Selected as an associate board member at Numerical Algorithms Group (2018)
    Numerical Algorithms Group
  • Travel Award for 2017 International Workshop on Objective Bayesian Methodology (2017)
    International Society for Bayesian Analysis
  • Student Paper Award, Section on Bayesian Statistical Science, Joint Statistical Meetings (2017)
    American Statistical Association
  • Travel Award for CBMS Conference on Bayesian Modeling for Spatial and Spatiotemporal Data (2017)
    National Science Foundation
  • National Science Foundation Graduate Research Fellowship (2015-2018)
    National Science Foundation
  • NIH T32 Training Support in Quantitative Biomedical Sciences (2013-2015)
    National Institute of Health (PI: Marek Kimmel)
  • Undergraduate Research and Scholarly Achievement Support (2012-2013)
    Baylor University (PI: David Kahle)
  • SAMSI Undergraduate Workshop Travel Award (2012)
    Statistical and Applied Mathematical Sciences Institute
  • Gene and Ruth B. Royer Mathematics Scholarship (2012)
    Baylor University
  • John C. Lattimore Mathematics Scholarship (2011)
    Baylor University