Showing 1 - 8 results of 8 for search 'Malgorzata Bogdan', query time: 0.04s Refine Results
  1. 1
    Selecting predictive biomarkers from genomic data.

    Selecting predictive biomarkers from genomic data. by Florian Frommlet, Piotr Szulc, Franz König, Malgorzata Bogdan

    Published 2022-01-01
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  2. 2
    Selecting predictive biomarkers from genomic data

    Selecting predictive biomarkers from genomic data by Florian Frommlet, Piotr Szulc, Franz König, Malgorzata Bogdan

    Published 2022-01-01
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  3. 3
    Reducing 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

    Reducing 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... by Maria Giovanna Dainotti, Giada Bargiacchi, Malgorzata Bogdan, Aleksander Lukasz Lenart, Kazunari Iwasaki, Salvatore Capozziello, Bing Zhang, Nissim Fraija

    Published 2023-01-01
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  4. 4
    On the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: A Feasibility Study for GRB-Cosmology in 2030

    On the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: A Feasibility Study for GRB-Cosmology in 2030 by Maria Giovanna Dainotti, Biagio De Simone, Tiziano Schiavone, Giovanni Montani, Enrico Rinaldi, Gaetano Lambiase, Malgorzata Bogdan, Sahil Ugale

    Published 2022-01-01
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  5. 5
    Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach

    Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach by Maria Giovanna Dainotti, Aditya Narendra, Agnieszka Pollo, Vahé Petrosian, Malgorzata Bogdan, Kazunari Iwasaki, Jason Xavier Prochaska, Enrico Rinaldi, David Zhou

    Published 2024-01-01
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  6. 6
    Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials

    Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials by Ralf-Dieter Hilgers, Malgorzata Bogdan, Carl-Fredrik Burman, Holger Dette, Mats Karlsson, Franz König, Christoph Male, France Mentré, Geert Molenberghs, Stephen Senn

    Published 2018-05-01
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  7. 7
    GRB Redshift Classifier to Follow up High-redshift GRBs Using Supervised Machine Learning

    GRB Redshift Classifier to Follow up High-redshift GRBs Using Supervised Machine Learning by Maria Giovanna Dainotti, Shubham Bhardwaj, Christopher Cook, Joshua Ange, Nishan Lamichhane, Malgorzata Bogdan, Monnie McGee, Pavel Nadolsky, Milind Sarkar, Agnieszka Pollo, Shigehiro Nagataki

    Published 2025-01-01
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  8. 8
    Inferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model

    Inferring the Redshift of More than 150 GRBs with a Machine-learning Ensemble Model by Maria Giovanna Dainotti, Elias Taira, Eric Wang, Elias Lehman, Aditya Narendra, Agnieszka Pollo, Grzegorz M. Madejski, Vahe Petrosian, Malgorzata Bogdan, Apratim Dey, Shubham Bhardwaj

    Published 2024-01-01
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