Search Results - Piironen, Juho

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  1. 1
    Comparison of Bayesian predictive methods for model selection

    Comparison of Bayesian predictive methods for model selection by Piironen, Juho, Vehtari, Aki

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  2. 2
    Sparsity information and regularization in the horseshoe and other shrinkage priors

    Sparsity information and regularization in the horseshoe and other shrinkage priors by Piironen, Juho, Vehtari, Aki

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  3. 3
    Implicitly adaptive importance sampling

    Implicitly adaptive importance sampling by Paananen, Topi, Piironen, Juho, Bürkner, Paul-Christian, Vehtari, Aki

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  4. 4
    Predicting spatio‐temporal distributions of migratory populations using Gaussian process modelling

    Predicting spatio‐temporal distributions of migratory populations using Gaussian process modelling by Piironen, Antti, Piironen, Juho, Laaksonen, Toni

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  5. 5
    Projective inference in high-dimensional problems: Prediction and feature selection

    Projective inference in high-dimensional problems: Prediction and feature selection by Piironen, Juho, Paasiniemi, Markus, Vehtari, Aki

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  6. 6
    A decision-theoretic approach for model interpretability in Bayesian framework

    A decision-theoretic approach for model interpretability in Bayesian framework by Afrabandpey, Homayun, Peltola, Tomi, Piironen, Juho, Vehtari, Aki, Kaski, Samuel

    Published in Machine learning
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  7. 7
    Using reference models in variable selection

    Using reference models in variable selection by Pavone, Federico, Piironen, Juho, Bürkner, Paul-Christian, Vehtari, Aki

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  8. 8
    Sparsity information and regularization in the horseshoe and other shrinkage priors

    Sparsity information and regularization in the horseshoe and other shrinkage priors by Piironen, Juho, Vehtari, Aki

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  9. 9
    Projection predictive model selection for Gaussian processes

    Projection predictive model selection for Gaussian processes by Piironen, Juho, Vehtari, Aki

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  10. 10
    Comparison of Bayesian predictive methods for model selection

    Comparison of Bayesian predictive methods for model selection by Piironen, Juho, Vehtari, Aki

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  11. 11
    A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework

    A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework by Afrabandpey, Homayun, Peltola, Tomi, Piironen, Juho, Vehtari, Aki, Kaski, Samuel

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  12. 12
    Projective Inference in High-dimensional Problems: Prediction and Feature Selection

    Projective Inference in High-dimensional Problems: Prediction and Feature Selection by Piironen, Juho, Paasiniemi, Markus, Vehtari, Aki

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  13. 13
    Iterative Supervised Principal Components

    Iterative Supervised Principal Components by Piironen, Juho, Vehtari, Aki

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  14. 14
    Implicitly Adaptive Importance Sampling

    Implicitly Adaptive Importance Sampling by Paananen, Topi, Piironen, Juho, Paul-Christian Bürkner, Vehtari, Aki

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  15. 15
    On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior

    On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior by Piironen, Juho, Vehtari, Aki

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  16. 16
    Alarm Prediction in LTE Networks

    Alarm Prediction in LTE Networks by Holmbacka, Simon, Niemela, Jarno, Karikallio, Henri, Sunila, Karri, Raiskinen, Ilkka, Siivola, Eero, Piironen, Juho, Sivula, Tuomas

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  17. 17
    Projection predictive variable selection using Stan+R

    Projection predictive variable selection using Stan+R by Piironen, Juho, Vehtari, Aki

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  18. 18
    Using reference models in variable selection

    Using reference models in variable selection by Pavone, Federico, Piironen, Juho, Paul-Christian Bürkner, Vehtari, Aki

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  19. 19
    Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution

    Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution by Paananen, Topi, Piironen, Juho, Andersen, Michael Riis, Vehtari, Aki

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  20. 20
    Automatic monotonicity detection for Gaussian Processes

    Automatic monotonicity detection for Gaussian Processes by Siivola, Eero, Piironen, Juho, Vehtari, Aki

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