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09/2013, Institute of Mathematical Statistics Textbooks, ISBN 9781107619289, Volume 3, 256
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data).... 
Bayesian statistical decision theory | Filters (Mathematics) | Smoothing (Statistics)
eBook
05/2019, ISBN 1316510085, 328
This intuitive hands-on text introduces stochastic differential equations (SDEs) as motivated by applications in target tracking and medical technology, and... 
eBook
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 01/2019, Volume 64, Issue 1, pp. 305 - 312
Journal Article
IEEE Transactions on Vehicular Technology, ISSN 0018-9545, 05/2019, Volume 68, Issue 5, pp. 4734 - 4747
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 06/2012, Volume 57, Issue 6, pp. 1511 - 1515
Journal Article
BIT Numerical Mathematics, ISSN 0006-3835, 12/2019, Volume 59, Issue 4, pp. 877 - 902
This article derives an accurate, explicit, and numerically stable approximation to the kernel quadrature weights in one dimension and on tensor product grids... 
Computational Mathematics and Numerical Analysis | Numerical integration | Numeric Computing | 47B32 | Mathematics | 65D30 | 45C05 | Mercer eigendecomposition | 46E22 | 65D32 | Mathematics, general | Kernel quadrature | Gaussian quadrature
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2018, Volume 40, Issue 2, pp. A697 - A720
Kernel quadratures and other kernel-based approximation methods typically suffer from prohibitive cubic time and quadratic space complexity in the number of... 
Bayesian quadrature | Sparse grids | Kernel quadrature | Reproducing kernel Hilbert spaces | Numerical integration | Fully symmetric sets | MATHEMATICS, APPLIED | numerical integration | ALGORITHM | REGIONS | fully symmetric sets | INTERPOLATORY RULES | DIMENSIONAL INTEGRATION | sparse grids | kernel quadrature | reproducing kernel Hilbert spaces | CUBATURE
Journal Article
Signal Processing, ISSN 0165-1684, 06/2019, Volume 159, pp. 1 - 12
This paper considers approximate smoothing for discretely observed non-linear stochastic differential equations. The problem is tackled by developing methods... 
Stochastic differential equations | Iterative methods | Continuous-discrete Gaussian smoothing | Statistical linear regression | PROJECTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Regression analysis | Analysis | Differential equations
Journal Article
Signal Processing, ISSN 0165-1684, 02/2013, Volume 93, Issue 2, pp. 500 - 510
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2019, Volume 67, Issue 19, pp. 5078 - 5092
In this paper, we propose a new framework for solving state estimation problems with an additional sparsity-promoting L 1 -regularizer term. We first formulate... 
Analytical models | alternating direction method of multipliers (ADMM) | Signal processing algorithms | variable splitting | Minimization | sparsity | iterated extended Kalman smoother (IEKS) | Kalman filters | State estimation | Optimization
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 06/2019, Volume 353, pp. 283 - 291
In this article, numerical integration is formulated as evaluation of a matrix function of a matrix that is obtained as a projection of the multiplication... 
Numerical integration | Matrix function | Gaussian quadrature | Multiplication operator | MATHEMATICS, APPLIED | COMPUTATION | Electrical engineering
Journal Article
Statistics and Computing, ISSN 0960-3174, 08/2019
Journal Article
2013, Institute of Mathematical Statistics textbooks, ISBN 9781107619289, Volume 3
Web Resource
Signal Processing, ISSN 0165-1684, 2010, Volume 90, Issue 1, pp. 225 - 235
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2019, Volume 67, Issue 11, pp. 2960 - 2972
Journal Article
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