Particle based MAP state estimation: A comparison. - Saikat Saha; Yvo Boers; Hans Driessen; Pranab Kumar Mandal; Arunabha Bagchi (FUSION, 2009)

Gaussian proposal density using moment matching in SMC methods. - Saikat Saha; Pranab Kumar Mandal; Yvo Boers; Hans Driessen; Arunabha Bagchi (Stat. Comput., 2009)

Particle filter based entropy. - Yvo Boers; Hans Driessen; Arunabha Bagchi; Pranab Kumar Mandal (FUSION, 2010)

A theoretical look at information-driven sensor management criteria. - Edson Hiroshi Aoki; Arunabha Bagchi; Pranab Kumar Mandal; Yvo Boers (FUSION, 2011)

SMC methods to avoid self-resolving for online Bayesian parameter estimation. - Edson Hiroshi Aoki; Yvo Boers; Pranab Kumar Mandal; Arunabha Bagchi (FUSION, 2012)

The Rao-Blackwellized marginal M-SMC filter for Bayesian multi-target tracking and labelling. - Edson Hiroshi Aoki; Yvo Boers; Lennart Svensson; Pranab Kumar Mandal; Arunabha Bagchi (FUSION, 2012)

Particle Based Smoothed Marginal MAP Estimation for General State Space Models. - Saikat Saha; Pranab Kumar Mandal; Arunabha Bagchi; Yvo Boers; Johannes N. Driessen (IEEE Trans. Signal Process., 2013)

Acceptance probability of IP-MCMC-PF: revisited. - Fernando Jose Iglesias Garcia; Melanie Bocquel; Pranab Kumar Mandal; Hans Driessen (SDF, 2015)

Hierarchical fusion in particle filtering track-before-detect. - Fernando Jose Iglesias Garcia; Pranab Kumar Mandal; Melanie Bocquel; Hans Driessen (FUSION, 2016)

Efficient characterization of labeling uncertainty in closely-spaced targets tracking. - Carlos Moreno Leon; Hans Driessen; Pranab Kumar Mandal (FUSION, 2016)

Labeling uncertainty in multitarget tracking. - Edson Hiroshi Aoki; Pranab Kumar Mandal; Lennart Svensson; Yvo Boers; Arunabha Bagchi (IEEE Trans. Aerosp. Electron. Syst., 2016)

Riemann-Langevin Particle Filtering in Track-Before-Detect. - Fernando Jose Iglesias Garcia; Pranab Kumar Mandal; Melanie Bocquel; Antonio Garcia Marques (IEEE Signal Process. Lett., 2018)

Optimal Particle-Filter-Based Detector. - Yvo Boers; Pranab Kumar Mandal (IEEE Signal Process. Lett., 2019)