Michail Tsagris

Orcid: 0000-0002-2049-3063

According to our database1, Michail Tsagris authored at least 19 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
An investigation of hypothesis testing procedures for circular and spherical mean vectors.
Commun. Stat. Simul. Comput., March, 2024

Cauchy robust principal component analysis with applications to high-dimensional data sets.
Stat. Comput., February, 2024

Inference for Network Count Time Series with the R Package PNAR.
R J., 2024

2023
Flexible non-parametric regression models for compositional response data with zeros.
Stat. Comput., October, 2023

Automated machine learning for genome wide association studies.
Bioinform., September, 2023

2022
The $\gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2020
Spherical regression models with general covariates and anisotropic errors.
Stat. Comput., 2020

The FEDHC Bayesian network learning algorithm.
CoRR, 2020

A generalised OMP algorithm for feature selection with application to gene expression data.
CoRR, 2020

2019
Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation.
Appl. Artif. Intell., 2019

2018
An elliptically symmetric angular Gaussian distribution.
Stat. Comput., 2018

Taking R to its limits: 70+ tips.
PeerJ Prepr., 2018

Correction to: Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal., 2018

Constraint-based causal discovery with mixed data.
Int. J. Data Sci. Anal., 2018

Feature selection with the R package <i>MXM</i>.
F1000Research, 2018

Feature selection for high-dimensional temporal data.
BMC Bioinform., 2018

BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology.
Database J. Biol. Databases Curation, 2018

2016
Improved Classification for Compositional Data Using the α-transformation.
J. Classif., 2016

2013
Modelling distributions of the temporal membership grades for non-stationary fuzzy sets.
Proceedings of the FUZZ-IEEE 2013, 2013


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