Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings
BIC and AIC for mixtures of Mallows models with Spearman distance
Print of the bootstrap confidence intervals for the fitted mixture of ...
Bootstrap confidence intervals for the fitted mixture of Mallows model...
Asymptotic confidence intervals for the fitted mixture of Mallows mode...
Data augmentation of partial rankings
Censoring of full rankings
Completion of partial rankings with reference full rankings
Switch data format from rankings to orderings and vice versa
Descriptive summaries for partial rankings
Expectation of the Spearman distance
MLE of mixtures of Mallows models with Spearman distance via EM algori...
(Log-)likelihood for mixtures of Mallows models with Spearman distance
Finite Mixtures of Mallows Models with Spearman Distance for Full and ...
Partition function of the Mallows model with Spearman distance
Plot descriptive statistics for partial rankings
Plot the Spearman distance matrix
Plot the MLEs for the fitted mixture of Mallows models with Spearman d...
Arrange the output of MLE of mixtures of Mallows models with Spearman ...
Random samples from a mixture of Mallows models with Spearman distance
Spearman distance distribution under the uniform ranking model
Spearman distance
Summary of the fitted mixture of Mallows models with Spearman distance
Variance of the Spearman distance
Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapped and asymptotic confidence intervals. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) <doi:10.1007/s11222-023-10266-8>.