Marco Grzegorczyk

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Hypothesis Test

Gaussian Graphical Models

Weighted Moving Average

Bayesian Networks

Top Venues

Int. J. Approx. Reason.

Publications

Alexander Hill, Marc Groefsema, Matthia Sabatelli, Raffaella Carloni, Marco Grzegorczyk
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning. ICAART (3) (2024)
Marco Grzegorczyk
Being Bayesian about learning Bayesian networks from ordinal data. Int. J. Approx. Reason. 170 (2024)
Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies. BMC Bioinform. 24 (1) (2023)
Abdul Salam, Marco Grzegorczyk
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors. Comput. Stat. 38 (2) (2023)
Luca Del Core, Danilo Pellin, Ernst C. Wit, Marco Grzegorczyk
Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis. Bioinform. 39 (10) (2023)
Marco Grzegorczyk
Being Bayesian about learning Gaussian Bayesian networks from incomplete data. Int. J. Approx. Reason. 160 (2023)
Victor Bernal, Venustiano Soancatl-Aguilar, Jonas Bulthuis, Victor Guryev, Peter Horvatovich, Marco Grzegorczyk
GeneNetTools: tests for Gaussian graphical models with shrinkage. Bioinform. 38 (22) (2022)
Victor Bernal, Rainer Bischoff, Peter Horvatovich, Victor Guryev, Marco Grzegorczyk
The 'un-shrunk' partial correlation in Gaussian graphical models. BMC Bioinform. 22 (1) (2021)
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
A new Bayesian piecewise linear regression model for dynamic network reconstruction. BMC Bioinform. (2) (2021)
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters. Bioinform. 36 (4) (2020)
Victor Bernal, Rainer Bischoff, Victor Guryev, Marco Grzegorczyk, Peter Horvatovich
Exact hypothesis testing for shrinkage-based Gaussian graphical models. Bioinform. 35 (23) (2019)
Ahmad Ahmadi Yazdi, Ali Zeinal Hamadani, Amirhossein Amiri, Marco Grzegorczyk
A new Bayesian multivariate exponentially weighted moving average control chart for phase II monitoring of multivariate multiple linear profiles. Qual. Reliab. Eng. Int. 35 (7) (2019)
Mahdi Shafiee Kamalabad, Alexander Martin Heberle, Kathrin Thedieck, Marco Grzegorczyk
Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices. Bioinform. 35 (12) (2019)
Mahdi Shafiee Kamalabad, Marco Grzegorczyk
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference. CIBB (2018)
Marco Grzegorczyk, Mahdi Shafiee Kamalabad
Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models. Comput. Stat. 32 (1) (2017)
Marco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration. Comput. Stat. 32 (2) (2017)
Andrej Aderhold, Dirk Husmeier, Marco Grzegorczyk
Approximate Bayesian inference in semi-mechanistic models. Stat. Comput. 27 (4) (2017)
Marco Grzegorczyk
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. Mach. Learn. 102 (2) (2016)
Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier
Inference of Circadian Regulatory Networks. IWBBIO (2014)
Marco Grzegorczyk, Dirk Husmeier
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models. Mach. Learn. 91 (1) (2013)
Marco Grzegorczyk, Dirk Husmeier
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters. AISTATS (2012)
Marco Grzegorczyk, Dirk Husmeier
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes. Bioinform. 27 (5) (2011)
Marco Grzegorczyk, Dirk Husmeier
Non-homogeneous dynamic Bayesian networks for continuous data. Mach. Learn. 83 (3) (2011)
Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer
Modelling non-stationary dynamic gene regulatory processes with the BGM model. Comput. Stat. 26 (2) (2011)
Marco Grzegorczyk, Dirk Husmeier, Jörg Rahnenführer
Modelling Nonstationary Gene Regulatory Processes. Adv. Bioinformatics 2010 (2010)
Marco Grzegorczyk, Dirk Husmeier
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks. PRIB (2009)
Marco Grzegorczyk, Dirk Husmeier
Non-stationary continuous dynamic Bayesian networks. NIPS (2009)
Marco Grzegorczyk, Dirk Husmeier, Kieron D. Edwards, Peter Ghazal, Andrew J. Millar
Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler. Bioinform. 24 (18) (2008)
Marco Grzegorczyk, Dirk Husmeier
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. Mach. Learn. 71 (2-3) (2008)
Adriano Velasque Werhli, Marco Grzegorczyk, Dirk Husmeier
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks. Bioinform. 22 (20) (2006)