activity
20072021
most citedOn the relation between Gaussian process quadratures and sigma-point methods

15 citations · 18 across the 5 of their papers we have counts for

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5 papers · 1 filter

stat.ME2026

Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo

Teemu Härkönen, Simo Särkkä

Stochastic processes are a flexible and widely used family of models for statistical modeling. While stochastic processes offer attractive properties such as inclusion of uncertain…

stat.ME2021

Hierarchical Non-Stationary Temporal Gaussian Processes With -Regularization

Zheng Zhao, Rui Gao, Simo Särkkä

This paper is concerned with regularized extensions of hierarchical non-stationary temporal Gaussian processes (NSGPs) in which the parameters (e.g., length-scale) are modeled as G…

stat.ME2020

Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing

Zheng Zhao, Toni Karvonen, Roland Hostettler +1

The paper is concerned with non-linear Gaussian filtering and smoothing in continuous-discrete state-space models, where the dynamic model is formulated as an Itô stochastic differ…

stat.ME201515 cited

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

Simo Särkkä, Jouni Hartikainen, Lennart Svensson +1

This article is concerned with Gaussian process quadratures, which are numerical integration methods based on Gaussian process regression methods, and sigma-point methods, which ar…

stat.ME2007

Application of Girsanov Theorem to Particle Filtering of Discretely Observed Continuous-Time Non-Linear Systems

Simo Särkkä, Tommi Sottinen

This article considers the application of particle filtering to continuous-discrete optimal filtering problems, where the system model is a stochastic differential equation, and no…