activity
20172022
most citedHybrid classifiers of pairwise Markov models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ME20221 cited

Hybrid classifiers of pairwise Markov models

Kristi Kuljus, Jüri Lember

The article studies segmentation problem (also known as classification problem) with pairwise Markov models (PMMs). A PMM is a process where the observation process and underlying…

stat.ML2020

MAP segmentation in Bayesian hidden Markov models: a case study

Alexey Koloydenko, Kristi Kuljus, Jüri Lember

We consider the problem of estimating the maximum posterior probability (MAP) state sequence for a finite state and finite emission alphabet hidden Markov model (HMM) in the Bayesi…

math.ST2019

Asymptotic normality of generalized maximum spacing estimators for multivariate observations

Kristi Kuljus, Bo Ranneby

In this paper, the maximum spacing method is considered for multivariate observations. Nearest neighbour balls are used as a multidimensional analogue to univariate spacings. A cla…

stat.CO2018

Estimation of Viterbi path in Bayesian hidden Markov models

Jüri Lember, Dario Gasbarra, Alexey Koloydenko +1

The article studies different methods for estimating the Viterbi path in the Bayesian framework. The Viterbi path is an estimate of the underlying state path in hidden Markov model…

stat.AP2017

Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images

Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2

There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…