Michael R. Schwob

Bio

Hello! I'm a doctoral student in the Department of Statistics and Data Sciences at the University of Texas at Austin advised by Mevin Hooten. My research focuses on agent-based models, spatiotemporal statistics, infectious disease dynamics, quantitative ecology, and biostatistics. My doctoral studies are funded by the NSF Graduate Research Fellowship Program.

Education

University of Texas at Austin | Austin, TX, USA

Ph.D. in Statistics | August 2021 - (current)

University of Nevada, Las Vegas | Las Vegas, NV, USA

B.S. in Mathematics | August 2016 - May 2021

Recent News

New paper accepted in Spatial Statistics:

  • Hooten, M.B., M.R. Schwob, D.S. Johnson, and J.S. Ivan. (In Press). "Geostatistical Capture-Recapture Models," Spatial Statistics.

Paper selected as a honorable mention in the 2024 ASA ENVR Student Paper Competition:

  • Schwob, M.R., M.B. Hooten, V. Narasimhan. "Composite Dyadic Models for Spatio-Temporal Data," (In Review).

Paper selected as a winner of the 2023 ISBA EnviBayes Student Paper Competition:

  • Schwob, M.R., M.B. Hooten, T. McDevitt-Gales. (In Press). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology," Journal of Agricultural, Biological, and Environmental Statistics.

New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics:

  • Schwob, M.R., M.B. Hooten, T. McDevitt-Gales. (2023). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology,"Journal of Agricultural, Biological, and Environmental Statistics.

New paper accepted in Environmetrics:

  • Hooten, M.B., M.R. Schwob, D.S. Johnson, and J.S. Ivan. (2023). "Multistage Hierarchical Capture-Recapture Models,"Environmetrics.

Awarded the Keller Award by the UT Department of Statistics and Data Sciences

Publications

MR Schwob, MB Hooten, V Narasimhan. (2024+). "Composite Dyadic Models for Spatio-Temporal Data," in review. Pre-print.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2024). "Geostatistical Capture-Recapture Models," Spatial Statistics. Pre-print.

MR Schwob, MB Hooten, T McDevitt-Galles. (2023). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology," Journal of Agricultural, Biological, and Environmental Statistics. Paper.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2023). "Multistage Hierarchical Capture-Recapture Models," Environmetrics, e2799. Paper.

MR Schwob, P Shiue, R Venkat. (2021). "Novel Theorems and Algorithms Relating to the Collatz Conjecture," International Journal of Mathematics and Mathematical Sciences, 2021:5754439. Paper.

R Venkat, MR Schwob. (2021). "Novel Sequences of Palindromic Primes in Various Bases," International Journal of Advanced Research in Computer Science, 12:2. Paper.

M Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent‐based demographic models," International Statistical Review, 88:2. Paper.

MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks," IEEE Access, 8:82201-82214. Paper.

A Hart,..., MR Schwob,..., J Zhan. (2019). "Resolving Intravoxel White Matter Structures in the Human Brain Using Regularized Regression and Clustering," Journal of Big Data, 6:1. Paper.

MR Schwob, J Zhan, A Dempsey. (2019). "Modeling Cell Communication with Time-Dependent Signaling Hypergraphs," IEEE/ACM Transactions on Compuational Biology and Bioinformatics, 18:3. Paper.

Michael R. Schwob

Bio

Hello! I'm a doctoral student in the Department of Statistics and Data Sciences at the University of Texas at Austin advised by Mevin Hooten. My research focuses on agent-based models, spatiotemporal statistics, infectious disease dynamics, quantitative ecology, and biostatistics. My doctoral studies are funded by the NSF Graduate Research Fellowship Program.

Education

University of Texas at Austin | Austin, TX, USA

Ph.D. in Statistics | August 2021 - (current)

University of Nevada, Las Vegas | Las Vegas, NV, USA

B.S. in Mathematics | August 2016 - May 2021

Recent News

New paper accepted in Spatial Statistics:

  • Hooten, M.B., M.R. Schwob, D.S. Johnson, and J.S. Ivan. (In Press). "Geostatistical Capture-Recapture Models," Spatial Statistics.

Paper selected as a honorable mention in the 2024 ASA ENVR Student Paper Competition:

  • Schwob, M.R., M.B. Hooten, V. Narasimhan. "Composite Dyadic Models for Spatio-Temporal Data," (In Review).

Paper selected as a winner of the 2023 ISBA EnviBayes Student Paper Competition:

  • Schwob, M.R., M.B. Hooten, T. McDevitt-Gales. (In Press). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology," Journal of Agricultural, Biological, and Environmental Statistics.

New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics:

  • Schwob, M.R., M.B. Hooten, T. McDevitt-Gales. (2023). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology,"Journal of Agricultural, Biological, and Environmental Statistics.

New paper accepted in Environmetrics:

  • Hooten, M.B., M.R. Schwob, D.S. Johnson, and J.S. Ivan. (2023). "Multistage Hierarchical Capture-Recapture Models,"Environmetrics.

Awarded the Keller Award by the UT Department of Statistics and Data Sciences

Publications

MR Schwob, MB Hooten, V Narasimhan. (2024+). "Composite Dyadic Models for Spatio-Temporal Data," in review. Pre-print.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2024). "Geostatistical Capture-Recapture Models," Spatial Statistics. Pre-print.

MR Schwob, MB Hooten, T McDevitt-Galles. (2023). "Dynamic Population Models with Temporal Preferential Sampling to Infer Phenology," Journal of Agricultural, Biological, and Environmental Statistics. Paper.

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2023). "Multistage Hierarchical Capture-Recapture Models," Environmetrics, e2799. Paper.

MR Schwob, P Shiue, R Venkat. (2021). "Novel Theorems and Algorithms Relating to the Collatz Conjecture," International Journal of Mathematics and Mathematical Sciences, 2021:5754439. Paper.

R Venkat, MR Schwob. (2021). "Novel Sequences of Palindromic Primes in Various Bases," International Journal of Advanced Research in Computer Science, 12:2. Paper.

M Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent‐based demographic models," International Statistical Review, 88:2. Paper.

MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks," IEEE Access, 8:82201-82214. Paper.

A Hart,..., MR Schwob,..., J Zhan. (2019). "Resolving Intravoxel White Matter Structures in the Human Brain Using Regularized Regression and Clustering," Journal of Big Data, 6:1. Paper.

MR Schwob, J Zhan, A Dempsey. (2019). "Modeling Cell Communication with Time-Dependent Signaling Hypergraphs," IEEE/ACM Transactions on Compuational Biology and Bioinformatics, 18:3. Paper.