Pages that link to "Item:Q457830"

The following pages link to Statistical methods for ranking data (Q457830):

Displaying 36 items.

• A statistical approach to calibrating the scores of biased reviewers of scientific papers (Q267651) (← links)
• Parametric and nonparametric statistics for sample surveys and customer satisfaction data (Q721133) (← links)
• Dyad ranking using Plackett-Luce models based on joint feature representations (Q1640577) (← links)
• Angle-based models for ranking data (Q1662177) (← links)
• Bayesian Plackett-Luce mixture models for partially ranked data (Q1695638) (← links)
• Query-dependent ranking and its asymptotic properties (Q1722064) (← links)
• Bayesian estimation of Kendall's \(\tau\) using a latent normal approach (Q1726799) (← links)
• Signal processing on the permutahedron: tight spectral frames for ranked data analysis (Q2048691) (← links)
• Estimating the number of clusters in a ranking data context (Q2055574) (← links)
• Bayesian analysis of rank data with covariates and heterogeneous rankers (Q2075787) (← links)
• A generalized Mallows model based on \(\phi\)-divergence measures (Q2140855) (← links)
• Bayesian linear models for cardinal paired comparison data (Q2143006) (← links)
• Joint latent space models for ranking data and social network (Q2152558) (← links)
• Asymptotic properties of Lee distance (Q2312016) (← links)
• Parametric embedding of nonparametric inference problems (Q2321988) (← links)
• Regression trees for detecting preference patterns from rank data (Q2324255) (← links)
• Bayesian analysis of ranking data with the extended Plackett-Luce model (Q2665000) (← links)
• Social order statistics models for ranking data with analysis of preferences in social networks (Q2686019) (← links)
• Who's \#1? The science of rating and ranking (Q2866030) (← links)
• Graphical methods for ranking data (Q4036397) (← links)
• (Q4558478) (← links)
• Learning and Decision-Making from Rank Data (Q4629660) (← links)
• (Q4998871) (← links)
• PLMIX: an <tt>R</tt> package for modelling and clustering partially ranked data (Q5107752) (← links)
• Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND (Q5146041) (← links)
• Time-homogeneous top-<i>K</i> ranking using tensor decompositions (Q5858998) (← links)
• Model fitting using partially ranked data (Q6050681) (← links)
• On Bayesian inference for the extended Plackett-Luce model (Q6121684) (← links)
• Remarkable properties for diagnostics and inference of ranking data modelling (Q6126889) (← links)
• Efficient and accurate inference for mixtures of Mallows models with Spearman distance (Q6172157) (← links)
• Bayesian joint modeling of binomial and rank response with non-ignorable missing data for primate cognition (Q6549226) (← links)
• Analysis of ranking data (Q6600381) (← links)
• Probabilistic models of profiles for voting by evaluation (Q6624515) (← links)
• Partially linear Bayesian modeling of longitudinal rank and time-to-event data using accelerated failure time model with application to brain tumor data (Q6625793) (← links)
• Rank-based Bayesian variable selection for genome-wide transcriptomic analyses (Q6629304) (← links)
• Copula-based non-metric unfolding on augmented data matrix (Q6657933) (← links)