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Books on the topic 'Gaussian filtering and smoothing'

Author: Grafiati

Published: 3 June 2025

Last updated: 23 June 2025

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Consult the top 19 books for your research on the topic 'Gaussian filtering and smoothing.'

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1

Kallianpur, G. White noise theory of prediction, filtering, and smoothing. Gordon and Breach Science Publishers, 1988.

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2

Krishnan, Venkatarama. Nonlinear Filtering and Smoothing: An Introduction to Martingales, Stochastic Integrals and Estimation. Dover Publications, Inc., 2005.

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3

Krishnan, Venkatarama. Nonlinear filtering and smoothing: An introduction to martingales, stochastic integrals, and estimation. Dover Publications, 2005.

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4

Le Jan, Y. (Yves), 1952- and Li X.-M. (Xue-Mei) 1964-, eds. The geometry of filtering. Birkhäuser, 2010.

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5

Nicklas, Richard B. An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking. Naval Postgraduate School, 1989.

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6

Lipt͡ser, R. Sh. Statistics of random processes. 2nd ed. Edited by Shiri͡aev Alʹbert Nikolaevich. Springer, 2001.

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7

Bayesian Filtering and Smoothing. Cambridge University Press, 2023.

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8

Särkkä, Simo. Bayesian Filtering and Smoothing. Cambridge University Press, 2014.

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9

Särkkä, Simo. Bayesian Filtering and Smoothing. Cambridge University Press, 2013.

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10

Sarkka, Simo. Bayesian Filtering and Smoothing. Cambridge University Press, 2013.

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11

Bayesian Filtering and Smoothing. Cambridge University Press, 2023.

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12

Elworthy, K. David, Xue-Mei Li, and Yves Le Jan. Geometry of Filtering. Birkhauser Verlag, 2010.

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13

A., Garry, ed. Smoothing, Filtering and Prediction - Estimating The Past, Present and Future. InTech, 2012. http://dx.doi.org/10.5772/2706.

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14

Weissberg, Jeremy. Smoothing, Filtering and Prediction: Estimating the Past, Present and Future. Scitus Academics LLC, 2017.

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15

Krishnan, Venkatarama. Nonlinear Filtering and Smoothing: An Introduction to Martingales, Stochastic Integrals and Estimation. Dover Publications, Incorporated, 2013.

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16

Nakura, Gou. An Approach to Hybrid Smoothing for Linear Discrete-Time Systems with Non-Gaussian Noises. INTECH Open Access Publisher, 2012.

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17

A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. Brown University, 2019.

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18

Shiryaev, Albert N., and Robert S. Liptser. Statistics of Random Processes I. 2nd ed. Springer, 2004.

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19

Shiryaev, Albert N., and Robert S. Liptser. Statistics of Random Processes II. 2nd ed. Springer, 2000.

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