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  1. Home
  2. Browse by Author

Browsing by Author "Müller, Peter"

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    A Simple Class of Bayesian Nonparametric Autoregression Models
    (2013) Di Lucca, Maria Anna; Guglielmi, Alessandra; Müller, Peter; Quintana Quintana, Fernando
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    Bayesian inference for longitudinal data with non-parametric treatment effects
    (2014) Müller, Peter; Quintana Quintana, Fernando; Gary, L.; Rosner, Michael; Maitland, L.
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    Bayesian Nonparametric Data Analysis
    (2015) Müller, Peter; Quintana Quintana, Fernando Andrés; Jara, Alejandro; Hanson, Tim
    This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages
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    Cluster-Specific Variable Selection for Product Partition Models
    (2015) Quintana Quintana, Fernando; Müller, Peter; Papoila, Ana Luisa
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    Clustering and feature allocation
    (2015) Müller, Peter; Quintana Quintana, Fernando; Jara, Alejandro; Hanson, Tim
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    Defining Predictive Probability Functions for Species Sampling Models
    (2013) Lee, Jaeyong; Quintana Quintana, Fernando; Müller, Peter; Trippa, Lorenzo

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