[PDF][PDF] Optimized Bayesian dynamic advising

M Kárný, J Böhm, TV Guy, L Jirsa, I Nagy… - Theory and …, 2005 - researchgate.net
This work summarizes theoretical and algorithmic basis of optimized probabilistic advising.
It has arisen within a series of targeted research projects supported European Commission …

Improved prediction of therapeutic absorbed doses of radioiodine in the treatment of thyroid carcinoma

J Heřmanská, M Kárný, J Zimák, L Jirsa… - Journal of Nuclear …, 2001 - Soc Nuclear Med
We proposed an alternative to a monoexponential model of radioiodine kinetics to obtain a
more accurate estimate of absorbed doses to postsurgical thyroid remnants. We suggested …

Approximate Bayesian prediction using state space model with uniform noise

L Jirsa, L Kuklišová Pavelková, A Quinn - … 2018, Porto, Portugal, July 29-31 …, 2020 - Springer
This paper proposes a one-step-ahead Bayesian output predictor for the linear stochastic
state space model with uniformly distributed state and output noises. A model with discrete-…

Recursive Bayesian estimation of autoregressive model with uniform noise using approximation by parallelotopes

L Pavelková, L Jirsa - … Journal of Adaptive Control and Signal …, 2017 - Wiley Online Library
This paper proposes a recursive algorithm for the estimation of a stochastic autoregressive
model with an external input. The noise of the involved model is described by a uniform …

Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances

LK Pavelková, L Jirsa, A Quinn - Knowledge-Based Systems, 2022 - Elsevier
This paper considers the problem of Bayesian transfer learning-based knowledge fusion
between linear state–space processes driven by uniform state and observation noise processes…

[PDF][PDF] Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters.

L Jirsa, LK Pavelková, A Quinn - ICINCO (1), 2019 - scitepress.org
The paper presents an optimal Bayesian transfer learning technique applied to a pair of linear
state-space processes driven by uniform state and observation noise processes. Contrary …

[PDF][PDF] Approximate Recursive Bayesian Estimation of State Space Model with Uniform Noise.

L Pavelková, L Jirsa - ICINCO (1), 2018 - scitepress.org
This paper proposes a recursive algorithm for the state estimation of a linear stochastic state
space model. A model with discrete-time inputs, outputs and states is considered. The …

[PDF][PDF] Advanced Bayesian processing of clinical data in nuclear medicine

L Jirsa - PhD thesis, 1999 - Citeseer
One of the ways to treat diseases of thyroid gland is use of nuclear medicine. During the
treatment, a lot of various biophysical data can be measured. Potential improvement of the …

Bayesian filtering for states uniformly distributed on a parallelotopic support

L Jirsa, LK Pavelková, A Quinn - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper contributes to the literature on Bayesian filtering in the case where the processes
driving the states and observations are uniformly distributed on finite intervals. We introduce …

Evaluation of sensor signal health using model with uniform noise

L Pavelková, L Jirsa - … on Informatics in Control, Automation and …, 2014 - ieeexplore.ieee.org
The paper proposes a method for evaluating a condition of a noisy sensor signal. The presented
algorithm provides a binomial opinion on the sensor signal health including uncertainty …