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Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression., , , и . Auton. Robots, 39 (3): 221-238 (2015)Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion., и . FUSION, стр. 1-8. IEEE, (2018)Continuous-Discrete von Mises-Fisher Filtering on S2 for Reference Vector Tracking., , и . FUSION, стр. 1345-1352. IEEE, (2018)Cooperative Localization Using Posterior Linearization Belief Propagation., , и . IEEE Trans. Vehicular Technology, 67 (1): 832-836 (2018)Student's $t$-Filters for Noise Scale Estimation., , и . IEEE Signal Process. Lett., 26 (2): 352-356 (2019)State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction., , и . ICML, icml.cc / Omnipress, (2012)State Space Methods for Efficient Inference in Student-t Process Regression., и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression., и . AISTATS, том 22 из JMLR Proceedings, стр. 993-1001. JMLR.org, (2012)Worst-case optimal approximation with increasingly flat Gaussian kernels., и . CoRR, (2019)Gaussian Process Classification Using Posterior Linearization., , и . IEEE Signal Process. Lett., 26 (5): 735-739 (2019)