Marco Grzegorczyk

Orcid: 0000-0002-2604-9270

According to our database1, Marco Grzegorczyk authored at least 30 papers between 2006 and 2024.

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

Timeline

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Links

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Bibliography

2024
Being Bayesian about learning Bayesian networks from ordinal data.
Int. J. Approx. Reason., 2024

Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies.
BMC Bioinform., December, 2023

Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.
Bioinform., October, 2023

Being Bayesian about learning Gaussian Bayesian networks from incomplete data.
Int. J. Approx. Reason., September, 2023

Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors.
Comput. Stat., June, 2023

2022
GeneNetTools: tests for Gaussian graphical models with shrinkage.
Bioinform., November, 2022

2021
A new Bayesian piecewise linear regression model for dynamic network reconstruction.
BMC Bioinform., 2021

The 'un-shrunk' partial correlation in Gaussian graphical models.
BMC Bioinform., 2021

2020
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters.
Bioinform., 2020

2019
A new Bayesian multivariate exponentially weighted moving average control chart for phase II monitoring of multivariate multiple linear profiles.
Qual. Reliab. Eng. Int., 2019

Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices.
Bioinform., 2019

Exact hypothesis testing for shrinkage-based Gaussian graphical models.
Bioinform., 2019

2018
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Approximate Bayesian inference in semi-mechanistic models.
Stat. Comput., 2017

Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models.
Comput. Stat., 2017

Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration.
Comput. Stat., 2017

2016
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points.
Mach. Learn., 2016

2014
Inference of Circadian Regulatory Networks.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

2013
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models.
Mach. Learn., 2013

2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Non-homogeneous dynamic Bayesian networks for continuous data.
Mach. Learn., 2011

Modelling non-stationary dynamic gene regulatory processes with the BGM model.
Comput. Stat., 2011

Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.
Bioinform., 2011

2010
Modelling Nonstationary Gene Regulatory Processes.
Adv. Bioinformatics, 2010

2009
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Non-stationary continuous dynamic Bayesian networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move.
Mach. Learn., 2008

Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler.
Bioinform., 2008

2006
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Bioinform., 2006


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