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Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

Conference on Uncertainty in Artificial Intelligence, 2000
Particle filters (PFs) are powerful sampling-based inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of probability distribution, nonlinearity and non-stationarity.
A. Doucet   +3 more
semanticscholar   +1 more source

Self-adaptive Multi-population Rao Algorithms for Engineering Design Optimization

Applied Artificial Intelligence, 2020
The performance of various population-based advanced optimization algorithms has been significantly improved by using the multi-population search scheme.
R. Rao, R. B. Pawar
semanticscholar   +1 more source

Geometry of the Cramer-Rao bound

[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing, 1993
The problem of identifying parameters, that structure the mean vector in a multivariate normal distribution, is considered. The Fisher matrix (this is a Gramian constructed from the sensitivity vectors that are the first order variation in the mean with respect to the parameters) and its inverse are studied.
Louis L. Scharf, L. Todd McWhorter
openaire   +1 more source

Raja Rao

2011
Contemporary Indian Writers in English (CIWE) is a series that presents critical commentaries on some of the best-known names in the genre. With the high visibility of Indian writing in English in academic, critical, pedagogic and reader circles, there is a perceivable demand for lucid yet rigorous introductions to several of its authors and genres ...
openaire   +2 more sources

Design of Rao–Blackwellized Point-Mass Filter With Application in Terrain Aided Navigation

IEEE Transactions on Aerospace and Electronic Systems, 2019
This paper is devoted to the terrain aided navigation (TAN) systems based on the state estimation algorithms. In particular, the emphasis is laid on the design of the Bayesian Rao–Blackwellized point-mass filter for nonlinear state-space models of a ...
J. Duník   +4 more
semanticscholar   +1 more source

THE CRAMÉR‐RAO INEQUALITY

Australian Journal of Statistics, 1978
SummaryThe essential significance of the Cram‐Rao inequality is investigated. This inequality states a relation between the rate of change of a mean value and a rate of change of the probability measure. Simple, general regularity conditions are obtained.
openaire   +1 more source

Parameter estimation of photovoltaic cell model with Rao-1 algorithm

Optik (Stuttgart), 2019
A novel photovoltaic (PV) cell parameter estimation method based on Rao-1 algorithm is presented in this paper. Rao-1 algorithm is a metaphor-less heuristic search algorithm and only addition and multiplication operations are included.
Long Wang   +3 more
semanticscholar   +1 more source

MUSIC, maximum likelihood, and Cramer-Rao bound

IEEE Transactions on Acoustics Speech and Signal Processing, 1989
P. Stoica, A. Nehorai
semanticscholar   +1 more source

Rao and Sengupta Reply:

Physical Review Letters, 1996
, Rao, , Sengupta
openaire   +2 more sources

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