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Book Synopsis

- Exploring latent evolving ability in test equating and its effects on final rankings.- Hidden Markov and related discrete latent variable models An application to compositional data.- An application of Natural Language Processing Analysis on TripAdvisor Reviews.- Modelling football players field position via mixture of Gaussians with flexible weights.- Estimation Issues in Multivariate Panel Data.- Testing linearity in the single functional index model for dependent data.- A multi-step approach for streamflow classification.- Identification of misogynistic accounts on Twitter through Graph Convolutional Networks.- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business.- Circular kernel classification with errors-in-variables.- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics.- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo.- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network.- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections.- Improving Performance in Neural Networks by Dendrite-Activated Connection.- Regression models with compositional regressors in case of structural zeros.- Multi-Dimensional Robinson Dissimilarities.- Composite selection criteria for the number of components of a finite mixture for ordinal data.- Clustering of Italian higher education institutions based on a destinationspecific approach.- Analyzing Italian crime data using matrix-variate hidden Markov models.

Statistical Models and Learning Methods for Complex Data

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    A Paperback by Giuseppe Giordano

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      Publisher: Springer
      Publication Date: Publication Date: 5/18/2025
      ISBN13: 9783031847011, 978-3031847011
      ISBN10: 3031847016

      Description

      Book Synopsis

      - Exploring latent evolving ability in test equating and its effects on final rankings.- Hidden Markov and related discrete latent variable models An application to compositional data.- An application of Natural Language Processing Analysis on TripAdvisor Reviews.- Modelling football players field position via mixture of Gaussians with flexible weights.- Estimation Issues in Multivariate Panel Data.- Testing linearity in the single functional index model for dependent data.- A multi-step approach for streamflow classification.- Identification of misogynistic accounts on Twitter through Graph Convolutional Networks.- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business.- Circular kernel classification with errors-in-variables.- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics.- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo.- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network.- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections.- Improving Performance in Neural Networks by Dendrite-Activated Connection.- Regression models with compositional regressors in case of structural zeros.- Multi-Dimensional Robinson Dissimilarities.- Composite selection criteria for the number of components of a finite mixture for ordinal data.- Clustering of Italian higher education institutions based on a destinationspecific approach.- Analyzing Italian crime data using matrix-variate hidden Markov models.

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