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Marco Grzegorczyk
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2020 – today
- 2024
- [j24]Marco Grzegorczyk
:
Being Bayesian about learning Bayesian networks from ordinal data. Int. J. Approx. Reason. 170: 109205 (2024) - [c6]Alexander Hill, Marc Groefsema, Matthia Sabatelli, Raffaella Carloni, Marco Grzegorczyk:
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning. ICAART (3) 2024: 178-185 - 2023
- [j23]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) - [j22]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): 228 (2023) - [j21]Abdul Salam, Marco Grzegorczyk
:
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors. Comput. Stat. 38(2): 779-808 (2023) - [j20]Marco Grzegorczyk:
Being Bayesian about learning Gaussian Bayesian networks from incomplete data. Int. J. Approx. Reason. 160: 108954 (2023) - 2022
- [j19]Victor Bernal
, Venustiano Soancatl-Aguilar, Jonas Bulthuis, Victor Guryev, Peter Horvatovich
, Marco Grzegorczyk:
GeneNetTools: tests for Gaussian graphical models with shrinkage. Bioinform. 38(22): 5049-5054 (2022) - 2021
- [j18]Victor Bernal
, Rainer Bischoff
, Peter Horvatovich
, Victor Guryev, Marco Grzegorczyk:
The 'un-shrunk' partial correlation in Gaussian graphical models. BMC Bioinform. 22(1): 424 (2021) - [j17]Mahdi Shafiee Kamalabad, Marco Grzegorczyk
:
A new Bayesian piecewise linear regression model for dynamic network reconstruction. BMC Bioinform. 22-S(2): 196 (2021) - 2020
- [j16]Mahdi Shafiee Kamalabad, Marco Grzegorczyk:
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters. Bioinform. 36(4): 1198-1207 (2020)
2010 – 2019
- 2019
- [j15]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): 2108-2117 (2019) - [j14]Victor Bernal
, Rainer Bischoff
, Victor Guryev, Marco Grzegorczyk, Peter Horvatovich
:
Exact hypothesis testing for shrinkage-based Gaussian graphical models. Bioinform. 35(23): 5011-5017 (2019) - [j13]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): 2152-2177 (2019) - 2018
- [c5]Mahdi Shafiee Kamalabad, Marco Grzegorczyk:
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference. CIBB 2018: 139-152 - 2017
- [j12]Marco Grzegorczyk, Mahdi Shafiee Kamalabad:
Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models. Comput. Stat. 32(1): 1-33 (2017) - [j11]Marco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
:
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration. Comput. Stat. 32(2): 717-761 (2017) - [j10]Andrej Aderhold, Dirk Husmeier
, Marco Grzegorczyk:
Approximate Bayesian inference in semi-mechanistic models. Stat. Comput. 27(4): 1003-1040 (2017) - 2016
- [j9]Marco Grzegorczyk:
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points. Mach. Learn. 102(2): 155-207 (2016) - 2014
- [c4]Marco Grzegorczyk, Andrej Aderhold, V. Anne Smith, Dirk Husmeier:
Inference of Circadian Regulatory Networks. IWBBIO 2014: 1001-1014 - 2013
- [j8]Marco Grzegorczyk, Dirk Husmeier
:
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models. Mach. Learn. 91(1): 105-154 (2013) - 2012
- [c3]Marco Grzegorczyk, Dirk Husmeier:
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters. AISTATS 2012: 467-476 - 2011
- [j7]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): 693-699 (2011) - [j6]Marco Grzegorczyk, Dirk Husmeier
, Jörg Rahnenführer
:
Modelling non-stationary dynamic gene regulatory processes with the BGM model. Comput. Stat. 26(2): 199-218 (2011) - [j5]Marco Grzegorczyk, Dirk Husmeier
:
Non-homogeneous dynamic Bayesian networks for continuous data. Mach. Learn. 83(3): 355-419 (2011) - 2010
- [j4]Marco Grzegorczyk, Dirk Husmeier
, Jörg Rahnenführer
:
Modelling Nonstationary Gene Regulatory Processes. Adv. Bioinformatics 2010: 749848:1-749848:17 (2010)
2000 – 2009
- 2009
- [c2]Marco Grzegorczyk, Dirk Husmeier:
Non-stationary continuous dynamic Bayesian networks. NIPS 2009: 682-690 - [c1]Marco Grzegorczyk, Dirk Husmeier
:
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks. PRIB 2009: 113-124 - 2008
- [j3]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): 2071-2078 (2008) - [j2]Marco Grzegorczyk, Dirk Husmeier
:
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. Mach. Learn. 71(2-3): 265-305 (2008) - 2006
- [j1]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): 2523-2531 (2006)
Coauthor Index
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last updated on 2024-07-20 20:34 CEST by the dblp team
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