- On Gaussian Optimal Smoothing of Non-Linear State Space Models
- KALMAN FILTERING AND SMOOTHING SOLUTIONS TO TEMPORAL GAUSSIAN PROCESS REGRESSION MODELS
- On MCMC Sampling in Bayesian MLP Neural Networks Aki Vehtari, Simo Srkk, and Jouko Lampinen
- SIGMA POINT METHODS IN OPTIMAL SMOOTHING OF NON-LINEAR STOCHASTIC STATE SPACE MODELS
- Continuous-Time and Continuous-Discrete-Time Unscented
- Unscented Rauch-Tung-Striebel Smoother Simo Sarkka
- Sparse Spatio-Temporal Gaussian Processes with General Likelihoods
- Learning Curves for Gaussian Processes via Numerical Cubature Integration
- Notes on Quaternions Simo Srkk
- Probabilistic Methods in Multiple Target Tracking Review and Bibliography
- PREPRINT -TO APPEAR IN IEEE TRANSACTIONS ON AUTOMATIC CONTROL, OCTOBER 2007 1 On Unscented Kalman Filtering for State
- Linear Operators and Stochastic Partial Differential Equations in Gaussian Process
- TO APPEAR IN IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Accurate Discretization of Analog Audio Filters
- Rao-Blackwellized Particle Filter for Multiple Target Tracking
- CATS Benchmark Time Series Prediction by Kalman Smoother with Cross-Validated Noise
- Prediction of ESTSP Competition Time Series by Unscented Kalman Filter and RTS Smoother
- Laboratory of Computational Engineering Rao-Blackwellized Particle Filter for Tracking
- Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
- Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking
- Correction to "On Gaussian Optimal Smoothing of Non-Linear State Space Models"
- Dynamical sta,s,cal modeling of physiological noise for fast BOLD fMRI
- IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. X, NO. XX, AUGUST 2010 1 Fourier-Hermite Kalman Filter
- Abstract--In this paper, we present an UHF RFID location tracking system, which is based on measuring the phases of
- Sequential Inference for Latent Force Models Jouni Hartikainen
- Dynamic Retrospective Filtering of Physiological Noise in BOLD fMRI: DRIFTER Simo Sarkkaa,
- Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
- On Continuous-Discrete Cubature Kalman Simo Sarkka
