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Analysis of professional basketball field goal attempts via a bayesian matrix clustering approach.Journal of Computational and Graphical Statistics, 32(1):49–60

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

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Bayesian Modeling and Prediction of Generalized Contact Matrices

stat.ME · 2026-05-07 · unverdicted · novelty 6.0

A Bayesian model for multi-feature contact matrices that uses tensor structures and contingency table theory to satisfy structural constraints and impute missing contact features, validated on simulations and US/German survey data.

Principal Nested Cones

stat.ME · 2026-04-21 · unverdicted · novelty 6.0

Principal Nested Cones is a nonlinear dimension reduction technique that projects cone-structured data onto nested lower-dimensional cones to jointly represent size and shape variation.

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Showing 4 of 4 citing papers after filters.

  • Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes stat.ME · 2026-05-10 · unverdicted · none · ref 46

    A Dirichlet process mixture model for marked Poisson point processes with squared-link intensities and Laplace variational inference jointly infers clusters, cluster count, and continuous mark-specific intensity surfaces.

  • Bayesian Modeling and Prediction of Generalized Contact Matrices stat.ME · 2026-05-07 · unverdicted · none · ref 102

    A Bayesian model for multi-feature contact matrices that uses tensor structures and contingency table theory to satisfy structural constraints and impute missing contact features, validated on simulations and US/German survey data.

  • Principal Nested Cones stat.ME · 2026-04-21 · unverdicted · none · ref 21

    Principal Nested Cones is a nonlinear dimension reduction technique that projects cone-structured data onto nested lower-dimensional cones to jointly represent size and shape variation.

  • Quadratic Forms in Gaussian Random Variables Theoretical Results and Applications eess.SP · 2026-05-10 · unverdicted · none · ref 60

    A review summarizing definitions, canonical forms, exact and approximate distributions, numerical methods, applications, and open problems for quadratic forms in real and complex Gaussian variables, including multiforms and ratios.