Hasil Pencarian - Marina Vannucci

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  1. 1
    Spiked Dirichlet Process Priors for Gaussian Process Models

    Spiked Dirichlet Process Priors for Gaussian Process Models oleh Terrance Savitsky, Marina Vannucci

    Diterbitkan 2010-01-01
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  2. 2
    Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

    Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package oleh Matthew D. Koslovsky, Marina Vannucci

    Diterbitkan 2020-12-01
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  3. 3
    MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

    MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package oleh Matthew D. Koslovsky, Marina Vannucci

    Diterbitkan 2020-07-01
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  4. 4
    A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection

    A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection oleh Alberto Cassese, Michele Guindani, Marina Vannucci

    Diterbitkan 2014-01-01
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  5. 5
    A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection

    A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection oleh Alberto Cassese, Michele Guindani, Marina Vannucci

    Diterbitkan 2014-09-01
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  6. 6
    Semiparametric Latent ANOVA Model for Event-Related Potentials

    Semiparametric Latent ANOVA Model for Event-Related Potentials oleh Cheng-Han Yu, Meng Li, Marina Vannucci

    Diterbitkan 2024-12-01
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  7. 7
    Biosensor approach to psychopathology classification.

    Biosensor approach to psychopathology classification. oleh Misha Koshelev, Terry Lohrenz, Marina Vannucci, P Read Montague

    Diterbitkan 2010-10-01
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  8. 8
    A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

    A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization oleh Kassandra M. Fronczyk, Michele Guindani, Brian P. Hobbs, Chaan S. Ng, Marina Vannucci

    Diterbitkan 2016-05-01
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  9. 9
    Bayesian model of protein primary sequence for secondary structure prediction.

    Bayesian model of protein primary sequence for secondary structure prediction. oleh Qiwei Li, David B Dahl, Marina Vannucci, Hyun Joo, Jerry W Tsai

    Diterbitkan 2014-01-01
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  10. 10
    Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome

    Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome oleh Deukwoo Kwon, Mahlet G. Tadesse, Naijun Sha, Ruth M. Pfeiffer, Marina Vannucci

    Diterbitkan 2007-01-01
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  11. 11
    Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome

    Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome oleh Deukwoo Kwon, Mahlet G. Tadesse, Naijun Sha, Ruth M. Pfeiffer, Marina Vannucci

    Diterbitkan 2007-01-01
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  12. 12
    A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

    A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization oleh Kassandra M. Fronczyk, Michele Guindani, Brian P. Hobbs, Chaan S. Ng, Marina Vannucci

    Diterbitkan 2015-01-01
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  13. 13
    Improved data quality and statistical power of trial-level event-related potentials with Bayesian random-shift Gaussian processes

    Improved data quality and statistical power of trial-level event-related potentials with Bayesian random-shift Gaussian processes oleh Dustin Pluta, Beniamino Hadj-Amar, Meng Li, Yongxiang Zhao, Francesco Versace, Marina Vannucci

    Diterbitkan 2024-04-01
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  14. 14
    Evidence of state-dependence in the effectiveness of responsive neurostimulation for seizure modulation

    Evidence of state-dependence in the effectiveness of responsive neurostimulation for seizure modulation oleh Sharon Chiang, Ankit N. Khambhati, Emily T. Wang, Marina Vannucci, Edward F. Chang, Vikram R. Rao

    Diterbitkan 2021-03-01
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  15. 15
    Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading

    Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading oleh Simon Fischer-Baum, Jeong Hwan Kook, Yoseph Lee, Aurora Ramos-Nuñez, Aurora Ramos-Nuñez, Marina Vannucci

    Diterbitkan 2018-07-01
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  16. 16
    Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity.

    Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity. oleh Sharon Chiang, Emilian R Vankov, Hsiang J Yeh, Michele Guindani, Marina Vannucci, Zulfi Haneef, John M Stern

    Diterbitkan 2018-01-01
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  17. 17
    A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection

    A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection oleh Sharon Chiang, Sharon Chiang, Michele Guindani, Hsiang J. Yeh, Sandra Dewar, Zulfi Haneef, John M. Stern, Marina Vannucci

    Diterbitkan 2017-12-01
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  18. 18
    Bayesian feature selection for radiomics using reliability metrics

    Bayesian feature selection for radiomics using reliability metrics oleh Katherine Shoemaker, Rachel Ger, Laurence E. Court, Hugo Aerts, Hugo Aerts, Hugo Aerts, Marina Vannucci, Christine B. Peterson

    Diterbitkan 2023-03-01
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  19. 19
    Near-native protein loop sampling using nonparametric density estimation accommodating sparcity.

    Near-native protein loop sampling using nonparametric density estimation accommodating sparcity. oleh Hyun Joo, Archana G Chavan, Ryan Day, Kristin P Lennox, Paul Sukhanov, David B Dahl, Marina Vannucci, Jerry Tsai

    Diterbitkan 2011-10-01
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  20. 20
    A predictor-informed multi-subject bayesian approach for dynamic functional connectivity.

    A predictor-informed multi-subject bayesian approach for dynamic functional connectivity. oleh Jaylen Lee, Sana Hussain, Ryan Warnick, Marina Vannucci, Isaac Menchaca, Aaron R Seitz, Xiaoping Hu, Megan A K Peters, Michele Guindani

    Diterbitkan 2024-01-01
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