Search Results - Lansangan, Joseph Ryan G.

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  1. 1

    A method of attaining sparsity of principal components in time series data by Lansangan, Joseph Ryan G.

    Published 2006
    Thesis


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  2. 2

    Simultaneous dimension reduction and variable selection in modeling high dimensional data. by Lansangan, Joseph Ryan G.

    Published 2014
    Thesis


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  3. 3

    Sparse principal component regression by Lansangan, Joseph Ryan G.

    Published in Philippine Statistician (2013)
    Article


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  4. 4

    A dose of business intelligence data mining by Lansangan, Joseph Ryan G.

    Published in Philippine Statistician (2011)
    Article


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  5. 5

    Estimation of poisson autoregressive model for multiple time series by Redondo, Paolo Victor T., Lansangan, Joseph Ryan G., Barrios, Erniel B.

    Book


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  6. 6

    Machine Learning Aided Diagnosis Designing and Evaluating Vitas, a Virtual Intelligent Tool for Assessment and Symptom Check, Using the DDXPLUS Dataset by Saet, Myra F., Landingin, John Vincent N., Jamir-Domingo, Jeff Louine T.

    Thesis


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  7. 7

    Estimation of Poisson autoregressive model for multiple time series by Redondo, Paolo Victor T.

    Published in Philippine Journal of Science (2022)
    Article


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  8. 8

    Semiparametric analysis of covariance model for a crossover design with carryover effects by Almero, Leonard Allan F.

    Published in Philippine Journal of Science (2024)
    Article


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