Marco Grzegorczyk

According to our database, Marco Grzegorczyk authored at least 31 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Being Bayesian about learning Bayesian networks from hybrid data.

Marco Grzegorczyk

Int. J. Approx. Reason., 2025

2024

Being Bayesian about learning Bayesian networks from ordinal data.

Marco Grzegorczyk

Int. J. Approx. Reason., 2024

Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning.

Alexander Hill, Marc Groefsema, Matthia Sabatelli, Raffaella Carloni, Marco Grzegorczyk

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.

Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk

BMC Bioinform., December, 2023

Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.

Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk

Bioinform., October, 2023

Being Bayesian about learning Gaussian Bayesian networks from incomplete data.

Marco Grzegorczyk

Int. J. Approx. Reason., September, 2023

Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors.

Abdul Salam, Marco Grzegorczyk

Comput. Stat., June, 2023

2022

GeneNetTools: tests for Gaussian graphical models with shrinkage.

Victor Bernal, Venustiano Soancatl-Aguilar, Jonas Bulthuis, Victor Guryev, Peter Horvatovich, Marco Grzegorczyk

Bioinform., November, 2022

2021

A new Bayesian piecewise linear regression model for dynamic network reconstruction.

Mahdi Shafiee Kamalabad, Marco Grzegorczyk

BMC Bioinform., 2021

The 'un-shrunk' partial correlation in Gaussian graphical models.

Victor Bernal, Rainer Bischoff, Peter Horvatovich, Victor Guryev, Marco Grzegorczyk

BMC Bioinform., 2021

2020

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

Mahdi Shafiee Kamalabad, Marco Grzegorczyk

Bioinform., 2020

2019

A new Bayesian multivariate exponentially weighted moving average control chart for phase II monitoring of multivariate multiple linear profiles.

Ahmad Ahmadi Yazdi, Ali Zeinal Hamadani, Amirhossein Amiri, Marco Grzegorczyk

Qual. Reliab. Eng. Int., 2019

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

Mahdi Shafiee Kamalabad, Alexander Martin Heberle, Kathrin Thedieck, Marco Grzegorczyk

Bioinform., 2019

Exact hypothesis testing for shrinkage-based Gaussian graphical models.

Victor Bernal, Rainer Bischoff, Victor Guryev, Marco Grzegorczyk, Peter Horvatovich

Bioinform., 2019

2018

A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference.

Mahdi Shafiee Kamalabad, Marco Grzegorczyk

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017

Approximate Bayesian inference in semi-mechanistic models.

Andrej Aderhold, Dirk Husmeier, Marco Grzegorczyk

Stat. Comput., 2017

Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models.

Marco Grzegorczyk, Mahdi Shafiee Kamalabad

Comput. Stat., 2017

Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration.

Marco Grzegorczyk, Andrej Aderhold, Dirk Husmeier

Comput. Stat., 2017

2016

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

Marco Grzegorczyk

Mach. Learn., 2016

2014

Inference of Circadian Regulatory Networks.

Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier

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.

Marco Grzegorczyk, Dirk Husmeier

Mach. Learn., 2013

2012

Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.

Marco Grzegorczyk, Dirk Husmeier

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Non-homogeneous dynamic Bayesian networks for continuous data.

Marco Grzegorczyk, Dirk Husmeier

Mach. Learn., 2011

Modelling non-stationary dynamic gene regulatory processes with the BGM model.

Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer

Comput. Stat., 2011

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

Marco Grzegorczyk, Dirk Husmeier

Bioinform., 2011

2010

Modelling Nonstationary Gene Regulatory Processes.

Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer

Adv. Bioinformatics, 2010

2009

Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks.

Marco Grzegorczyk, Dirk Husmeier

Proceedings of the Pattern Recognition in Bioinformatics, 2009

Non-stationary continuous dynamic Bayesian networks.

Marco Grzegorczyk, Dirk Husmeier

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.

Marco Grzegorczyk, Dirk Husmeier

Mach. Learn., 2008

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

Marco Grzegorczyk, Dirk Husmeier, Kieron D. Edwards, Peter Ghazal, Andrew J. Millar

Bioinform., 2008

2006

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

Adriano Velasque Werhli, Marco Grzegorczyk, Dirk Husmeier

Bioinform., 2006