Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Simo Särkkä; Arno Solin; Jouni Hartikainen

doi:10.1109/MSP.2013.2246292

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Simo Särkkä, Arno Solin, Jouni Hartikainen

Research output: Contribution to journal › Article › Scientific › peer-review

93 Citations (Scopus)

Original language	English
Pages (from-to)	51-61
Journal	IEEE Signal Processing Magazine
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/MSP.2013.2246292
Publication status	Published - 2013
MoE publication type	A1 Journal article-refereed

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10.1109/MSP.2013.2246292

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Cite this

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title = "Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering",

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journal = "IEEE Signal Processing Magazine",

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AU - Solin, Arno

AU - Hartikainen, Jouni

PY - 2013

Y1 - 2013

U2 - 10.1109/MSP.2013.2246292

DO - 10.1109/MSP.2013.2246292

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EP - 61

JO - IEEE Signal Processing Magazine

JF - IEEE Signal Processing Magazine

SN - 1053-5888

IS - 4

ER -

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

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Aalto Neuroimaging Infrastructure

Cite this