Kody Law

Search results

• 2023

  Digital fingerprinting of microstructures

  White, M., Race, C., Withers, P., Law, K. & Tarakanov, A., 5 Feb 2023, In: Computational Materials Science. 218, 111985.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Microstructure 100%
  • Datum 75%
  • Procedure 62%
  • Label 62%
  • Data Set 25%
• 2021

  Materials Fingerprinting Classification

  Spannaus, A., Law, K. J. H., Luszczek, P., Nasrin, F., Micucci, C. P., Liaw, P. K., Santodonato, L. J., Keffer, D. J. & Maroulas, V., Sep 2021, In: Computer Physics Communications. 266, p. 1-9 9 p., 108019.

  Research output: Contribution to journal › Article › peer-review

  • Material 100%
  • Tomography 80%
  • Atom Probe 80%
  • Atomic Structure 40%
  • Procedure 40%
• 2020

  A practical and efficient approach for Bayesian quantum state estimation

  Lukens, J., Law, K., Jasra, A. & Lougovski, P., 30 Apr 2020, In: New Journal of Physics.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bayesian 100%
  • Quantum State 100%
  • Probability Distribution 66%
  • Tomography 66%
  • Statistics 33%

• MULTILEVEL ENSEMBLE KALMAN FILTERING FOR SPATIO-TEMPORAL PROCESSES

  Law, K., Hoel, H., Tempone, R., Nobile, F. & Chernov, A., 25 Nov 2020, (E-pub ahead of print) In: NUMERISCHE MATHEMATIK.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Kalman Filtering 100%
  • Filter Method 75%
  • Monte Carlo 25%
  • Approximation 25%
  • Numerical Example 25%

• Reconstruction of effective potential from statistical analysis of dynamic trajectories

  Yousefzadi Nobakht, A., Dyck, O., Lingerfelt, D. B., Bao, F., Ziatdinov, M., Maksov, A., Sumpter, B. G., Archibald, R., Jesse, S., Kalinin, S. V. & Law, K. J. H., 25 Jun 2020, (E-pub ahead of print) In: AIP Advances. 10, 6, p. 065034

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Datum 100%
  • Molecular Dynamics 75%
  • Electric Potential 75%
  • Dynamics 75%
  • Reconstruction 50%
• 2019

  A multilevel approach for partially observed deterministic systems

  Law, K., Jasra, A. & Xu, Y., 2019, In: International Journal of Uncertainty Quantification.

  Research output: Contribution to journal › Article › peer-review

  • Inference 100%
  • Monte Carlo Method 100%
  • Monte Carlo 50%
  • Sequential Monte Carlo 50%
  • Prediction 25%

• Cluster, Classify, Regress: A General Method For Learning Discountinous Functions

  Bernholdt, D. E., Cianciosa, M. R., Etienam, C., Green, D. L., Law, K. J. H. & Park, J. M., 15 May 2019, (Submitted) In: arXiv:1710.04335 [math.DG].

  Research output: Contribution to journal › Article

  • Learning 100%
  • Input/Output 66%
  • Functions 33%
  • Simulation 33%
  • Classes 33%

• Estimation and uncertainty quantification for the output from quantum simulators

  Law, K., Jasra, A., Bennink, R. & Lougovski, P., 1 Jun 2019, In: Foundations of Data Science. 1, 2, p. 157-176

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Maximum Entropy 100%
  • Simulator 100%
  • Unbiased Estimator 100%
  • Qubit 100%
  • Empirical Moment 100%
• 2018

  Accuracy of some approximate Gaussian Filters for the Navier-Stokes equation in the presence of model error

  Law, K., Branicki, M. & Majda, A., 8 Nov 2018, In: Multiscale Modeling and Simulation. 16, 4, p. 1756-1794

  Research output: Contribution to journal › Article › peer-review

  • Error 100%
  • Model 66%
  • Algorithms 66%
  • Filtration 50%
  • Filtering 50%

• A Multi-Index Markov Chain Monte Carlo Method

  Jasra, A., Kamatani, K., Law, K. & Zhou, Y., 31 Dec 2018, In: International Journal of Uncertainty Quantification.

  Research output: Contribution to journal › Article › peer-review

  • Monte Carlo Method 100%
  • Probability Law 100%
  • Multi-Index 100%
  • Bayesian 66%
  • Approximation 66%

• Bayesian Static Parameter Estimation for Partially Observed Diffusions via Multilevel Monte Carlo

  Jasra, A., Kamatani, K., Law, K. & Zhou, Y., 2018, In: SIAM Journal on Scientific Computing. 40, 2, p. A887-A902

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Markov Chain Monte Carlo 100%
  • Bayesian 50%
  • Parameters 50%
  • Monte Carlo 50%
  • Diffusion 50%
  102 Downloads (Pure)

• Multilevel particle filters for Lévy-driven stochastic differential equations

  Jasra, A., Law, K. J. H. & Osei, P. P., 2018, In: Statistics and Computing.

  Research output: Contribution to journal › Article › peer-review

  • Particle Filter 100%
  • Stochastic Differential Equation 66%
  • Models 33%
  • Algorithm 33%
  • Computer Simulation 33%

• Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals

  Beskos, A., Jasra, A., Law, K., Marzouk, Y. & Zhou, Y., 2018, In: SIAM / ASA Journal on Uncertainty Quantification . 6, 2

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Algorithm 100%
  • Sequential Monte Carlo 100%
  • Variations 50%
  • PDE 50%
  • Measures 50%
  103 Downloads (Pure)

• Ultrafast current imaging by Bayesian inversion

  Somnath, S., Law, K. J. H., Morozovska, A. N., Maksymovych, P., Kim, Y., Lu, X., Alexe, M., Archibald, R., Kalinin, S. V., Jesse, S. & Vasudevan, R. K., 2018, In: Nature Communications. 9, 1, 513.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Current-Voltage Characteristic 100%
  • Information 66%
  • Permittivity 66%
  • Magnitude 33%
  • Detection 33%
  125 Downloads (Pure)
• 2017

  Multilevel particle filters

  Jasra, A., Kamatani, K., Law, K. J. H. & Zhou, Y., 2017, In: SIAM JOURNAL ON NUMERICAL ANALYSIS. 55, 6, p. 3068-3096 29 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Diffusion 100%
  • Parameters 50%
  • Discrete Time 50%
  • Approximation 50%
  • Squared Error 50%
  191 Downloads (Pure)

• Multilevel sequential Monte Carlo: Mean square error bounds under verifiable conditions

  Del Moral, P., Jasra, A. & Law, K. J. H., 2017, In: Stochastic Analysis and Applications. 35, 3, p. 478-498 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Sequential Monte Carlo 100%
  • Multiplicative 25%
  • Approximates 25%
  • Discretization 25%
  • Error Bound 25%

• Multilevel sequential Monte Carlo samplers

  Beskos, A., Jasra, A., Law, K., Tempone, R. & Zhou, Y., 1 May 2017, In: Stochastic Processes and their Applications. 127, 5, p. 1417-1440 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Monte Carlo Method 100%
  • Sequential Monte Carlo 100%
  • Sequences 66%
  • Bayesian 66%
  • Monte Carlo 66%
  78 Downloads (Pure)

• Multilevel sequential monte carlo samplers for normalizing constants

  Moral, P. D., Jasra, A., Law, K. J. H. & Zhou, Y., 1 Aug 2017, In: ACM Transactions on Modeling and Computer Simulation. 27, 3, 20.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Constant 100%
  • Approximation 100%
  • Sequential Monte Carlo 100%
  • Poisson Equation 100%
  • Bayesian 50%
  81 Downloads (Pure)
• 2016

  Deterministic Mean-field Ensemble Kalman Filtering

  Law, K., Tempone, R. & Tembine, H., 3 May 2016, In: SIAM Journal on Scientific Computing. 38, 3, p. 1251-1279 29 p.

  Research output: Contribution to journal › Article › peer-review

  • Kalman Filtering 100%
  • State Space Model 100%
  • Approximation 50%
  • Gaussian 33%
  • Nonlinear 16%

• Dimension-independent likelihood informed MCMC

  Law, K., Marzouk, Y. & Cui, T., Jan 2016, In: Journal of Computational Physics. 304, p. 109-137 29 p.

  Research output: Contribution to journal › Article › peer-review

  • Markov Chain Monte Carlo 100%
  • Functions 75%
  • Discretization 75%
  • Posterior Distribution 75%
  • Classes 50%

• Multilevel ensemble Kalman filtering

  Hoel, H., Law, K. J. H. & Tempone, R., 2016, In: SIAM JOURNAL ON NUMERICAL ANALYSIS. 54, 3, p. 1813-1839 27 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Kalman Filtering 100%
  • Stochastic Differential Equation 50%
  • Monte Carlo 50%
  • Discrete Time 25%
  • Approximation 25%
  150 Downloads (Pure)
• 2014

  Determining white noise forcing from Eulerian observations in the Navier-Stokes equation

  Hoang, V. H., Law, K. J. H. & Stuart, A. M., Apr 2014, In: Stochastic Partial Differential Equations: Analysis and Computations. 2, p. 233-261 29 p.

  Research output: Contribution to journal › Article › peer-review

  • Posterior Distribution 100%
  • Navier-Stokes Equation 50%
  • Continuous Function 50%
  • Complements 25%
  • Bayesian Approach 25%

• Well-posedness and accuracy of the ensemble Kalman filter in discrete and continuous time

  Kelly, D. T. B., Law, K. J. H. & Stuart, A. M., 22 Sep 2014, In: Nonlinearity. 27, 10, p. 2579–2603

  Research output: Contribution to journal › Article › peer-review

  • Observation 100%
  • Algorithms 100%
  • Algorithm 100%
  • Inflation 75%
  • Kalman Filter 75%