Kathleen L. Schmidt

发表

Bayesian metropolis methods applied to sensor networks for radiation source localization

Razvan Stefanescu, Ralph Smith, Jason M. Hite, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Large-scale parallel simulations of distributed detection algorithms for collaborative autonomous sensor networks

Peter D. Barnes, Bhavya Kailkhura, Deepak Rajan, 2018, Defense + Security.

A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments

Ana Kupresanin, Matthew Nelms, Kathleen L. Schmidt, 2021, Stat. Anal. Data Min..

Sensitivity Analysis of strength models using~Bayesian Adaptive Splines~

Kathleen L. Schmidt, N. Barton, J. Bernstein, 2018 .

Uncertainty Quantification for Mixed-Effects Models with Applications in Nuclear Engineering.

Kathleen L. Schmidt, 2016 .

A comparison of material flow strength models using Bayesian cross-validation

Kathleen L. Schmidt, J. Florando, N. Barton, 2019, Computational Materials Science.

Sequential optimal positioning of mobile sensors using mutual information

Ralph C. Smith, Deepak Rajan, Ryan Goldhahn, 2019, Stat. Anal. Data Min..

Missing Data and Multiple Imputation Decision Tree

Martin R. Vasilev, Jessica A. R. Logan, Kathleen L. Schmidt, 2021 .

Hybrid optimization and Bayesian inference techniques for a non‐smooth radiation detection problem

Razvan Stefanescu, Kathleen Schmidt, Ralph Smith, 2016, 1607.00411.

Bayesian calibration of strength model parameters from Taylor impact data

Kathleen L. Schmidt, J. Florando, J. Bernstein, 2021, Computational Materials Science.

Best Practices for Addressing Missing Data through Multiple Imputation

Martin R. Vasilev, Jessica A. R. Logan, Kathleen L. Schmidt, 2021, Infant and Child Development.

A hierarchical Bayesian model for background variation in radiation source localization

Kathleen L. Schmidt, Ralph C. Smith, J. Mattingly, 2021 .

Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models

Kayla D. Coleman, Kathleen L. Schmidt, Ralph C. Smith, 2016 .