Abdelaziz Nasroallah

Orcid: 0000-0002-7530-6480

According to our database1, Abdelaziz Nasroallah authored at least 14 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Hidden Markov model with missing emissions.
Comput. Stat., April, 2024

Likelihood and decoding problems for mixed space hidden Markov model.
Monte Carlo Methods Appl., 2024

2023
Unsupervised statistical image segmentation using bi-dimensional hidden Markov chains model with application to mammography images.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

Computation of the steady-state probability of Markov chain evolving on a mixed state space.
Monte Carlo Methods Appl., September, 2023

2022
Estimation of steady-state quantities of an HMM with some rarely generated emissions.
Monte Carlo Methods Appl., 2022

Hidden Markov model steady-state estimation.
Commun. Stat. Simul. Comput., 2022

Unsupervised image segmentation using Fuzzy Hidden Markov Chain with bi-dimensional data.
Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022

2021
A generalized antithetic variates Monte-Carlo simulation method for pricing of Asian option in a Markov regime-switching model.
Math. Comput. Simul., 2021

2020
Hidden Markov Model with Markovian emission.
Monte Carlo Methods Appl., 2020

2019
A kind of dual form for coupling from the past algorithm, to sample from Markov chain steady-state probability.
Monte Carlo Methods Appl., 2019

2017
HMM with emission process resulting from a special combination of independent Markovian emissions.
Monte Carlo Methods Appl., 2017

2015
Widening and clustering techniques allowing the use of monotone CFTP algorithm.
Monte Carlo Methods Appl., 2015

2000
Simulation of transient performance measures for stiff markov chains.
RAIRO Oper. Res., 2000

L'analyse discriminante sur variables qualitatives : programmes de quatre méthodes.
Monde des Util. Anal. Données, 2000


  Loading...