Malgorzata Bogdan
Professor
Publications
Displaying of publications. Sorted by year, then title.
Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach
Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo, Vahé Petrosian, Malgorzata Bogdan, et al.
(2024) Astrophysical Journal Letters, 967
Journal articleShedding new light on the Hubble constant tension through Supernovae Ia
Maria Giovanna Dainotti, Biagio De Simone, Giovanni Montani, Malgorzata Bogdan
(2024) Proceedings of Science, 447
Conference paperInferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model
Maria Giovanna Dainotti, Elias Taira, Eric Wang, Elias Lehman, Aditya Narendra, et al.
(2024) Astrophysical Journal, Supplement Series, 271
Journal articleOn the statistical assumption on the distance moduli of Supernovae Ia and its impact on the determination of cosmological parameters
M. G. Dainotti, G. Bargiacchi, M. Bogdan, S. Capozziello, S. Nagataki
(2024) Journal of High Energy Astrophysics, 41 p.30-41
Journal articleFermi LAT AGN classification using supervised machine learning
Nathaniel Cooper, Maria Giovanna Dainotti, Aditya Narendra, Ioannis Liodakis, Malgorzata Bogdan
(2023) Monthly Notices of the Royal Astronomical Society, 525 p.1731-1745
Journal articleReducing the Uncertainty on the Hubble Constant up to 35% with an Improved Statistical Analysis : Different Best-fit Likelihoods for Type Ia Supernovae, Baryon Acoustic Oscillations, Quasars, and Gamma-Ray Bursts
Maria Giovanna Dainotti, Giada Bargiacchi, Malgorzata Bogdan, Aleksander Lukasz Lenart, Kazunari Iwasaki, et al.
(2023) Astrophysical Journal, 951
Journal articleA power analysis for model-X knockoffs with ℓ p -regularized statistics
Asaf Weinstein, Weijie J. Su, Malgorzata Bogdan, Rina Foygel Barber, Emmanuel J. Candès
(2023) The Annals of Statistics, 51
Journal articleSelecting predictive biomarkers from genomic data
Florian Frommlet, Piotr Szulc, Franz König, Malgorzata Bogdan
(2022) PLoS ONE, 17
Journal articleOn the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations : A Feasibility Study for GRB-Cosmology in 2030
Maria Giovanna Dainotti, Biagio De Simone, Tiziano Schiavone, Giovanni Montani, Enrico Rinaldi, et al.
(2022) Galaxies, 10
Journal articleSparse index clones via the sorted ℓ1-Norm
Philipp J. Kremer, Damian Brzyski, Małgorzata Bogdan, Sandra Paterlini
(2022) Quantitative Finance, 22 p.349-366
Journal articleUsing Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei
Spencer James Gibson, Aditya Narendra, Maria Giovanna Dainotti, Malgorzata Bogdan, Agnieszka Pollo, et al.
(2022) Frontiers in Astronomy and Space Sciences, 9
Journal articlePredicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II
Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti, Malgorzata Bogdan, Agnieszka Pollo, et al.
(2022) Astrophysical Journal, Supplement Series, 259
Journal articleAdaptive Bayesian SLOPE : Model Selection With Incomplete Data
Wei Jiang, Małgorzata Bogdan, Julie Josse, Szymon Majewski, Błażej Miasojedow, et al.
(2022) Journal of Computational and Graphical Statistics, 31 p.113-137
Journal articleOn the sign recovery by least absolute shrinkage and selection operator, thresholded least absolute shrinkage and selection operator, and thresholded basis pursuit denoising
Patrick J.C. Tardivel, Małgorzata Bogdan
(2022) Scandinavian Journal of Statistics, 49 p.1636-1668
Journal articlePredicting the Redshift of γ-Ray-loud AGNs Using Supervised Machine Learning
Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra, Spencer James Gibson, Blazej Miasojedow, et al.
(2021) Astrophysical Journal, 920
Journal articleGhost QTL and hotspots in experimental crosses : novel approach for modeling polygenic effects
Jonas Wallin, Małgorzata Bogdan, Piotr A. Szulc, R. W. Doerge, David O. Siegmund
(2021) Genetics, 217
Journal articleThe Strong Screening Rule For SLOPE
Johan Larsson, Malgorzata Bogdan, Jonas Wallin
(2020) Advances in Neural Information Processing Systems , p.1-12
Journal articleRank-based lasso - Efficient methods for high-dimensional robust model selection
Wojciech Rejchel, Malgorzata Bogdan
(2020) Journal of Machine Learning Research, 21 p.1-47
Journal articleSparse portfolio selection via the sorted ℓ1-Norm
Philipp J. Kremer, Sangkyun Lee, Małgorzata Bogdan, Sandra Paterlini
(2020) Journal of Banking and Finance, 110
Journal articleOn the Asymptotic Properties of SLOPE
Michał Kos, Małgorzata Bogdan
(2020) Sankhya A, 82 p.499-532
Journal articleGhost QTL and hotspots in experimental crosses - novel solution by mixed model with nonzero mean
Piotr Szulc, Jonas Wallin, Malgorzata Bogdan, Rebecca Doerge, David O. Siegmund
(2019)
OtherStructure learning of Gaussian Markov random fields with false discovery rate control
Sangkyun Lee, Piotr Sobczyk, Malgorzata Bogdan
(2019) Symmetry, 11
Journal articleFalse discoveries occur early on the lasso path
Weijie Su, Malgorzata Bogdan, Emmanuel Candès
(2017) Annals of Statistics, 45 p.2133-2150
Journal articleJoint genotype- and ancestry-based genome-wide association studies in admixed populations
Piotr Szulc, Malgorzata Bogdan, Florian Frommlet, Hua Tang
(2017) Genetic Epidemiology, 41 p.555-566
Journal articleSome optimality properties of FDR controlling rules under sparsity
Florian Frommlet, Malgorzata Bogdan
(2013) Electronic Journal of Statistics, 7 p.1328-1368
Journal articleModified versions of the Bayesian Information Criterion for sparse Generalized Linear Models
Małgorzata Zak-Szatkowska, Malgorzata Bogdan
(2011) Computational Statistics and Data Analysis, 55 p.2908-2924
Journal articleAsymptotic bayes-optimality under sparsity of some multiple testing procedures
Malgorzata Bogdan, Arijit Chakrabarti, Florian Frommlet, Jayanta K. Ghosh
(2011) Annals of Statistics, 39 p.1551-1579
Journal articleLocating multiple interacting quantitative trait loci with the zero-inflated generalized poisson regression
Vinzenz Erhardt, Malgorzata Bogdan, Claudia Czado
(2010) Statistical Applications in Genetics and Molecular Biology, 9
Journal articleExtending the modified Bayesian Information Criterion (mBIC) to dense markers and multiple interval mapping
Malgorzata Bogdan, Florian Frommlet, Przemysław Biecek, Riyan Cheng, Jayanta K. Ghosh, et al.
(2008) Biometrics, 64 p.1162-1169
Journal articleSelecting explanatory variables with the modified version of the bayesian information criterion
Malgorzata Bogdan, Jayanta K. Ghosh, Małgorzata Zak-Szatkowska
(2008) Quality and Reliability Engineering International, 24 p.627-641
Journal articleApplied statistics and the Indianness of Indian data
Jayanta K. Ghosh, Malgorzata Bogdan, Tapas Samanta
(2008) Sankhya: The Indian Journal of Statistics, 70 p.1-17
Journal articleOn the empirical bayes approach to the problem of multiple testing
Malgorzata Bogdan, Jayanta K. Ghosh, Aleksandra Ochman, Surya T. Tokdar
(2007) Quality and Reliability Engineering International, 23 p.727-739
Journal article