MIMO radar: Snake oil or good idea? - Fred Daum; Jim Huang (ACSCC, 2008)

Particle flow for nonlinear filters. - Fred Daum; Jim Huang (ICASSP, 2011)

Particle flow and Monge-Kantorovich transport. - Fred Daum; Jim Huang (FUSION, 2012)

Particle flow for nonlinear filters, Bayesian decisions and transport. - Fred Daum; Jim Huang (FUSION, 2013)

Cramér-Rao-Leibniz Lower Bound - A new estimation bound for finite support measurement noise. - Yaakov Bar-Shalom; Richard W. Osborne III; Peter Willett 001; Frederick E. Daum (CDC, 2014)

CRLB for likelihood functions with parameter-dependent support. - Yaakov Bar-Shalom; Richard W. Osborne III; Peter Willett 001; Frederick E. Daum (IEEE Trans. Aerosp. Electron. Syst., 2014)

Renormalization group flow in k-space for nonlinear filters, Bayesian decisions and transport. - Fred Daum; Jim Huang (FUSION, 2015)

Extended Kalman Filters. - Frederick E. Daum (Encyclopedia of Systems and Control, 2015)

Kalman Filters. - Frederick E. Daum (Encyclopedia of Systems and Control, 2015)

Nonlinear Filters. - Frederick E. Daum (Encyclopedia of Systems and Control, 2015)

Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow. - Fred Daum (FUSION, 2016)

Adaptive step size approach to homotopy-based particle filtering Bayesian update. - Shozo Mori; Fred Daum; Joel Douglas (FUSION, 2016)

Gromov's method for Bayesian stochastic particle flow: A simple exact formula for Q. - Fred Daum; Jim Huang; Arjang Noushin (MFI, 2016)

Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Francesco A. N. Palmieri; Fred Daum (FUSION, 2017)

The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support. - Qin Lu 002; Yaakov Bar-Shalom; Peter Willett 001; Francesco Palmieri 001; Fred Daum (IEEE Trans. Aerosp. Electron. Syst., 2017)

New Theory and Numerical Results for Gromov's Method for Stochastic Particle Flow Filters. - Fred Daum; Jim Huang; Arjang Noushin (FUSION, 2018)

Bias CRLB in Sine Space for a Three-Dimensional Sensor. - Michael Kowalski; Yaakov Bar-Shalom; Peter Willett 001; Djedjiga Belfadel; Fred Daum (IEEE Trans. Aerosp. Electron. Syst., 2020)

Stability and Convergence of Stochastic Particle Flow Filters. - Liyi Dai; Fred Daum (FUSION, 2021)

On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters. - Liyi Dai; Fred Daum (FUSION, 2022)

Stiffness Mitigation in Stochastic Particle Flow Filters. - Liyi Dai; Fred Daum (IEEE Trans. Aerosp. Electron. Syst., 2022)

On the Design of Stochastic Particle Flow Filters. - Liyi Dai; Fred Daum (IEEE Trans. Aerosp. Electron. Syst., 2023)