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2020

Gaussian mixture models for signal mapping and positioning

Raitoharju, M., García-Fernández, Á. F., Hostettler, R., Piché, R. & Särkkä, S., 1 Mar 2020, In : Signal Processing. 168, 11 p., 107330.

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Importance Densities for Particle Filtering Using Iterated Conditional Expectations

Hostettler, R., Tronarp, F., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jan 2020, In : IEEE Signal Processing Letters. 27, p. 211-215 5 p., 8951063.

Research output: Contribution to journalArticleScientificpeer-review

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

Zhao, Z., Särkkä, S. & Rad, A. B., 30 Apr 2020, In : Journal of Signal Processing Systems. 16 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
17 Downloads (Pure)

Kernel-based interpolation at approximate Fekete points

Karvonen, T., Särkkä, S. & Tanaka, K., 10 Jul 2020, In : NUMERICAL ALGORITHMS. 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Machine Learning Methods for Neonatal Mortality and Morbidity Classification

Jaskari, J., Myllarinen, J., Leskinen, M., Rad, A. B., Hollmén, J., Andersson, S. & Sarkka, S., 2 Jul 2020, In : IEEE Access. 8, p. 123347-123358 12 p., 9131772.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
9 Downloads (Pure)

Multispectral photon-counting for medical imaging and beam characterization

Brücken, E., Bharthuar, S., Emzir, M., Golovleva, M., Gädda, A., Hostettler, R., Härkönen, J., Kirschenmann, S., Litichevskyi, V., Luukka, P., Martikainen, L., Naaranoja, T., Nincǎ, I., Ott, J., Petrow, H., Purisha, Z., Siiskonen, T., Särkkä, S., Tikkanen, J., Tuuva, T. & 1 others, Winkler, A., 18 Feb 2020, In : Journal of Instrumentation. 15, 2, 11 p., C02024.

Research output: Contribution to journalArticleScientificpeer-review

RSS Models for Respiration Rate Monitoring

Yiǧitler, H., Kaltiokallio, O., Hostettler, R., Abrar, A. S., Jäntti, R., Patwari, N. & Särkkä, S., 1 Mar 2020, In : IEEE Transactions on Mobile Computing. 19, 3, p. 680-696 17 p., 8634923.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
131 Downloads (Pure)

Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes

Gao, R., Tronarp, F. & Särkkä, S., 2020, In : IEEE Signal Processing Letters. 27, p. 1305-1309 5 p., 9143395.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Worst-case optimal approximation with increasingly flat Gaussian kernels

Karvonen, T. & Särkkä, S., 1 Apr 2020, In : ADVANCES IN COMPUTATIONAL MATHEMATICS. 46, 2, 17 p., 21.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
21 Downloads (Pure)
2019

A probabilistic model for the numerical solution of initial value problems

Schober, M., Särkkä, S. & Hennig, P., 15 Jan 2019, In : STATISTICS AND COMPUTING. 29, 1, p. 99-122 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
9 Citations (Scopus)
172 Downloads (Pure)

Gaussian kernel quadrature at scaled Gauss–Hermite nodes

Karvonen, T. & Särkkä, S., 2019, In : BIT - Numerical Mathematics. p. 877–902 26 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
94 Downloads (Pure)

Gaussian process classification using posterior linearization

Garcia-Fernandez, A. F., Tronarp, F. & Särkkä, S., 1 May 2019, In : IEEE Signal Processing Letters. 26, 5, p. 735-739 5 p., 8673324.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems

särkkä, S., Alvarez, M. A. & Lawrence, N. D., 2019, In : IEEE Transactions on Automatic Control. 64, 7, p. 2953-2960 8 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)

Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements

García-Fernández, Á. F., Tronarp, F. & Särkkä, S., 1 Jun 2019, In : IEEE Transactions on Signal Processing. 67, 11, p. 2960-2972 13 p., 8691412.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
151 Downloads (Pure)

Hilbert space methods for reduced-rank Gaussian process regression

Solin, A. & Särkkä, S., 2019, In : STATISTICS AND COMPUTING. 28 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Citations (Scopus)
115 Downloads (Pure)

Iterated Extended Kalman Smoother-Based Variable Splitting for L-1-Regularized State Estimation

Gao, R., Tronarp, F. & Särkkä, S., 1 Oct 2019, In : IEEE Transactions on Signal Processing. 67, 19, p. 5078-5092 15 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)

Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems

Tronarp, F. & Särkkä, S., 1 Jun 2019, In : Signal Processing. 159, p. 1-12 12 p.

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Numerical integration as a finite matrix approximation to multiplication operator

Sarmavuori, J. & Särkkä, S., 1 Jun 2019, In : Journal of Computational and Applied Mathematics. 353, p. 283-291 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
1 Citation (Scopus)

On the positivity and magnitudes of Bayesian quadrature weights

Karvonen, T., Kanagawa, M. & Särkkä, S., 4 Oct 2019, In : STATISTICS AND COMPUTING. 17 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
95 Downloads (Pure)

Probabilistic approach to limited-data computed tomography reconstruction

Purisha, Z., Jidling, C., Wahlstrom, N., Schön, T. B. & Särkkä, S., Oct 2019, In : Inverse Problems. 35, 10, 20 p., 105004.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: A new perspective

Tronarp, F., Kersting, H., Särkkä, S. & Hennig, P., 18 Sep 2019, In : STATISTICS AND COMPUTING. 29, p. 1297-1315 19 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
25 Downloads (Pure)

Rao-Blackwellized Gaussian Smoothing

Hostettler, R. & Särkkä, S., 1 Jan 2019, In : IEEE Transactions on Automatic Control. 64, 1, p. 305-312 8 p., 8340820.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
181 Downloads (Pure)

Rao-Blackwellized Posterior Linearization Backward SLAM

García-Fernández, Á. F., Hostettler, R. & Särkkä, S., 1 May 2019, In : IEEE Transactions on Vehicular Technology. 68, 5, p. 4734-4747 14 p., 8662708.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
99 Downloads (Pure)

Student's t-Filters for Noise Scale Estimation

Tronarp, F., Karvonen, T. & Särkkä, S., 1 Feb 2019, In : IEEE Signal Processing Letters. 26, 2, p. 352-356 5 p., 8606947.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
3 Citations (Scopus)
215 Downloads (Pure)

Symmetry exploits for Bayesian cubature methods

Karvonen, T., Särkkä, S. & Oates, C. J., 1 Jan 2019, In : STATISTICS AND COMPUTING. 29, 6, p. 1231–1248 18 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Citations (Scopus)
42 Downloads (Pure)
2018

Cooperative localization using posterior linearization belief propagation

Garcia-Fernandez, A. F., Svensson, L. & Särkkä, S., 2018, In : IEEE Transactions on Vehicular Technology. 67, 1, p. 832-836

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
13 Citations (Scopus)
105 Downloads (Pure)

Fully symmetric kernel quadrature

Karvonen, T. & Särkkä, S., 2018, In : SIAM Journal on Scientific Computing. 40, 2, p. A697-A720 24 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
8 Citations (Scopus)
221 Downloads (Pure)

Gaussian process classification for prediction of in-hospital mortality among preterm infants

Rinta-Koski, O. P., Särkkä, S., Hollmén, J., Leskinen, M. & Andersson, S., 2018, In : Neurocomputing. 298, p. 134-141

Research output: Contribution to journalArticleScientificpeer-review

Open Access
6 Citations (Scopus)

Iterative Filtering and Smoothing In Non-Linear and Non-Gaussian Systems Using Conditional Moments

Tronarp, F., Garcia Fernandez, A. & Särkkä, S., 17 Jan 2018, In : IEEE Signal Processing Letters. 25, 3, p. 408-412 5 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
12 Citations (Scopus)
230 Downloads (Pure)

Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes

Solin, A., Kok, M., Wahlstrom, N., Schon, T. B. & Sarkka, S., 2018, In : IEEE Transactions on Robotics. 34, 4, p. 1112-1127

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
15 Citations (Scopus)
118 Downloads (Pure)

Sparse Approximations of Fractional Matérn Fields

Roininen, L., Lasanen, S., Orispää, M. & Särkkä, S., 2018, In : Scandinavian Journal of Statistics. 45, 1, p. 194–216 23 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)

Variational Bayesian adaptation of noise covariances in multiple target tracking problems

Hosseini, S. S., Jamali, M. M. & Särkkä, S., 1 Jul 2018, In : Measurement: Journal of the International Measurement Confederation. 122, p. 14-19 6 p.

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
2017

Iterated posterior linearisation smoother

Garcia Fernandez, A., Svensson, L. & Särkkä, S., 2017, In : IEEE Transactions on Automatic Control. 62, 4, p. 2056-2063 8 p., 7515187.

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Statistical analysis of differential equations: introducing probability measures on numerical solutions

Conrad, P. R., Girolami, M., Särkkä, S., Stuart, A. & Zygalakis, K., 1 Jul 2017, In : STATISTICS AND COMPUTING. 27, 4, p. 1065-1082 18 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
20 Citations (Scopus)
145 Downloads (Pure)
2016

Moment conditions for convergence of particle filters with unbounded importance weights

Mbalawata, I. S. & Särkkä, S., Jan 2016, In : Signal Processing. 118, p. 133-138 6 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
6 Citations (Scopus)

On the relation between Gaussian process quadratures and sigma-point methods

Särkkä, S., Hartikainen, J., Svensson, L. & Sandblom, F., Jun 2016, In : JOURNAL OF ADVANCES IN INFORMATION FUSION. 11, 1, p. 31-46

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models

Lindsten, F., Bunch, P., Särkkä, S., Schön, T. B. & Godsill, S. J., Mar 2016, In : IEEE Journal of Selected Topics in Signal Processing. 10, 2, p. 353-365 13 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
19 Citations (Scopus)

Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems

Kokkala, J., Solin, A. & Särkkä, S., 2016, In : JOURNAL OF ADVANCES IN INFORMATION FUSION. 11, 1, p. 15-30

Research output: Contribution to journalArticleScientificpeer-review

Open Access
2015

A Bayesian Particle Filtering Method For Brain Source Localisation

Chen, X., Särkkä, S. & Godsill, S., 2015, In : Digital Signal Processing. 47, p. 192-204

Research output: Contribution to journalArticleScientificpeer-review

Open Access
6 Citations (Scopus)

Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter

Mbalawata, I. S., Särkkä, S., Vihola, M. & Haario, H., 2015, In : Computational Statistics and Data Analysis. 83, p. 101-115

Research output: Contribution to journalArticleScientificpeer-review

Open Access
25 Citations (Scopus)

Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression

Anderson, S., Barfoot, T. D., Tong, C. H. & Särkkä, S., 2015, In : Autonomous Robots. 39, 3, p. 221-238

Research output: Contribution to journalArticleScientificpeer-review

Open Access
31 Citations (Scopus)

Combining particle MCMC with Rao-Blackwellized Monte Carlo data association for parameter estimation in multiple target tracking

Kokkala, J. & Särkkä, S., 2015, In : Digital Signal Processing. 47, p. 84-95

Research output: Contribution to journalArticleScientificpeer-review

Open Access
11 Citations (Scopus)

Gaussian filtering and variational approximations for Bayesian smoothing in continuous-discrete stochastic dynamic systems

Ala-Luhtala, J., Särkkä, S. & Piche, R., 2015, In : Signal Processing. 111, 1, p. 124-136

Research output: Contribution to journalArticleScientificpeer-review

Open Access
13 Citations (Scopus)

On the (non-)convergence of particle filters with Gaussian importance distributions

Kokkala, J. & Särkkä, S., 2015, In : IFAC-PapersOnLine. 48, 28, p. 793-798 6 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
2 Citations (Scopus)

Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC

Särkkä, S., Hartikainen, J., Mbalawata, I. S. & Haario, H., 2015, In : STATISTICS AND COMPUTING. 25, 2, p. 427-437

Research output: Contribution to journalArticleScientificpeer-review

Posterior Linearization Filter: Principles and Implementation Using Sigma Points

Garcia-Fernandez, A. F., Svensson, L., Morelande, M. R. & Särkkä, S., 2015, In : IEEE Transactions on Signal Processing. 63, 20, p. 5561-5573

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
50 Citations (Scopus)
96 Downloads (Pure)
2014

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes

Lyons, S. M. J., Särkkä, S. & Storkey, A. J., 2014, In : IEEE Transactions on Signal Processing. 6, p. 1514-1524

Research output: Contribution to journalArticleScientificpeer-review

Open Access
3 Citations (Scopus)
2013

Gaussian filtering and smoothing for continuous-discrete dynamic systems

Särkkä, S. & Sarmavuori, J., 2013, In : Signal Processing. 93, 2, p. 500-510

Research output: Contribution to journalArticleScientificpeer-review

49 Citations (Scopus)

Infinite-dimensional Bayesian filtering for detection of quasiperiodic phenomena in spatiotemporal data

Solin, A. & Särkkä, S., 2013, In : Physical Review E. 88, 5

Research output: Contribution to journalArticleScientificpeer-review

Open Access
11 Citations (Scopus)

Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering

Mbalawata, I. S., Särkkä, S. & Haario, H., 2013, In : Computational Statistics. 28, 3, p. 1195-1223

Research output: Contribution to journalArticleScientificpeer-review

33 Citations (Scopus)