Särkkä, Simo

Bayesian Filtering and Smoothing

Särkkä, S. (2013) · Cambridge University Press eBooks

Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification

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

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Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

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

Mbalawata, I. S., Särkkä, S., & Haario, H. (2013) · Computational Statistics

Markov Chains and Monte Carlo MethodsTarget Tracking and Data Fusion in Sensor Networks

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Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter

Mbalawata, I. S., Särkkä, S., Vihola, M., & Haario, H. (2015) · Computational Statistics & Data Analysis

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

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