Marco Grzegorczyk

32 papers A 1Journal 26Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Being Bayesian about learning Bayesian networks from hybrid data.
Int. J. Approx. Reason.
Marco Grzegorczyk
2025 J jnl
LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care.
CoRR
Federico Pirola, Fabio Stella, Marco Grzegorczyk
2024 J jnl
Being Bayesian about learning Bayesian networks from ordinal data.
Int. J. Approx. Reason.
Marco Grzegorczyk
2024 — conf
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning.
ICAART (3)
Alexander Hill, Marc Groefsema, Matthia Sabatelli, Raffaella Carloni, Marco Grzegorczyk
2023 J jnl
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies.
BMC Bioinform.
Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk
2023 J jnl
Being Bayesian about learning Gaussian Bayesian networks from incomplete data.
Int. J. Approx. Reason.
Marco Grzegorczyk
2023 J jnl
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors.
Comput. Stat.
Abdul Salam, Marco Grzegorczyk
2023 J jnl
Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.
Bioinform.
Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk
2022 J jnl
GeneNetTools: tests for Gaussian graphical models with shrinkage.
Bioinform.
Victor Bernal, Venustiano Soancatl-Aguilar, Jonas Bulthuis, Victor Guryev, Peter Horvatovich, Marco Grzegorczyk
2021 J jnl
A new Bayesian piecewise linear regression model for dynamic network reconstruction.
BMC Bioinform.
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
2021 J jnl
The 'un-shrunk' partial correlation in Gaussian graphical models.
BMC Bioinform.
Victor Bernal, Rainer Bischoff, Peter Horvatovich, Victor Guryev, Marco Grzegorczyk
2020 J jnl
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters.
Bioinform.
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
2019 J jnl
A new Bayesian multivariate exponentially weighted moving average control chart for phase II monitoring of multivariate multiple linear profiles.
Qual. Reliab. Eng. Int.
Ahmad Ahmadi Yazdi, Ali Zeinal Hamadani, Amirhossein Amiri, Marco Grzegorczyk
2019 J jnl
Exact hypothesis testing for shrinkage-based Gaussian graphical models.
Bioinform.
Victor Bernal, Rainer Bischoff, Victor Guryev, Marco Grzegorczyk, Peter Horvatovich
2019 J jnl
Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices.
Bioinform.
Mahdi Shafiee Kamalabad, Alexander Martin Heberle, Kathrin Thedieck, Marco Grzegorczyk
2018 — conf
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference.
CIBB
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
2017 J jnl
Approximate Bayesian inference in semi-mechanistic models.
Stat. Comput.
Andrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
2017 J jnl
Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models.
Comput. Stat.
Marco Grzegorczyk, Mahdi Shafiee Kamalabad
2017 J jnl
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration.
Comput. Stat.
Marco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
2016 J jnl
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points.
Mach. Learn.
Marco Grzegorczyk
2014 — conf
Inference of Circadian Regulatory Networks.
IWBBIO
Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier
2013 J jnl
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models.
Mach. Learn.
Marco Grzegorczyk, Dirk Husmeier
2012 A conf
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.
AISTATS
Marco Grzegorczyk, Dirk Husmeier
2011 J jnl
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.
Bioinform.
Marco Grzegorczyk, Dirk Husmeier
2011 J jnl
Modelling non-stationary dynamic gene regulatory processes with the BGM model.
Comput. Stat.
Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer
2011 J jnl
Non-homogeneous dynamic Bayesian networks for continuous data.
Mach. Learn.
Marco Grzegorczyk, Dirk Husmeier
2010 J jnl
Modelling Nonstationary Gene Regulatory Processes.
Adv. Bioinformatics
Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer
2009 — conf
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks.
PRIB
Marco Grzegorczyk, Dirk Husmeier
2009 — conf
Non-stationary continuous dynamic Bayesian networks.
NIPS
Marco Grzegorczyk, Dirk Husmeier
2008 J jnl
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move.
Mach. Learn.
Marco Grzegorczyk, Dirk Husmeier
2008 J jnl
Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler.
Bioinform.
Marco Grzegorczyk, Dirk Husmeier, Kieron D. Edwards, Peter Ghazal, Andrew J. Millar
2006 J jnl
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Bioinform.
Adriano Velasque Werhli, Marco Grzegorczyk, Dirk Husmeier