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Bayesian estimation of Thurstonian ranking models based on the Gibbs sampler
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Probability Models and Statistical Analyses for Ranking Data
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Applications of Thurstonian Models to Ranking Data
inferredcites →https://doi.org/10.1007/978-1-4612-4024-2openalex-snapshot
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Individual Choice Behaviour
inferredcites →https://doi.org/10.1016/0304-4076(94)01716-6openalex-snapshot
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inferredcites →https://doi.org/10.1016/0304-4076(94)90064-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/0304-4076(95)01792-5openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0166-4115(08)60232-0openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0169-7161(05)80054-9openalex-snapshot
19 Simulation estimation methods for limited dependent variable models
inferredcites →https://doi.org/10.1080/00031305.1995.10476177openalex-snapshot
Understanding the Metropolis-Hastings Algorithm
inferredcites →https://doi.org/10.1080/00401706.1975.10489285openalex-snapshot
An Introduction to Bayesian Inference in Econometrics
inferredcites →https://doi.org/10.1080/00401706.1988.10488374openalex-snapshot
Multivariate Statistical Simulation
inferredcites →https://doi.org/10.1080/01621459.1996.10476956openalex-snapshot
Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
inferredcites →https://doi.org/10.1093/oso/9780198522669.003.0010openalex-snapshot
Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments
inferredcites →https://doi.org/10.1093/oso/9780198522669.003.0053openalex-snapshot
How many Iterations in the Gibbs Sampler?
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/j.2517-6161.1978.tb01665.xopenalex-snapshot
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inferredcites →https://doi.org/10.1287/opre.31.6.1109openalex-snapshot
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inferredcites →https://doi.org/10.2307/20039864openalex-snapshot
The Silent Revolution: Changing Values and Political Styles among Western Publics
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Monte Carlo Sampling Methods Using Markov Chains and Their Applications
inferredcites →https://doi.org/10.2307/2348026openalex-snapshot
Normal Order Statistics as Permutation Probability Models
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A Law of Comparative Judgment
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Scaling of Preferential Choice
inferred← citeshttps://doi.org/10.1002/env.2682openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sim.9524openalex-snapshot
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inferred← citeshttps://doi.org/10.1006/jmps.2001.1389openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4020-1958-6_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-00035-0_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdm.2016.0062openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnse.2025.3575231openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tvcg.2023.3278304openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/bmsp.12260openalex-snapshot
Remarkable properties for diagnostics and inference of ranking data modelling
inferred← citeshttps://doi.org/10.1111/j.1756-8765.2011.01175.xopenalex-snapshot
Inferring Expertise in Knowledge and Prediction Ranking Tasks
inferred← citeshttps://doi.org/10.1177/00131644231205011openalex-snapshot
Linear Factor Analytic Thurstonian Forced-Choice Models: Current Status and Issues
inferred← citeshttps://doi.org/10.1214/20-sts818openalex-snapshot
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers
inferred← citeshttps://doi.org/10.1214/21-ba1258openalex-snapshot
On Bayesian inference for the Extended Plackett-Luce model
inferred← citeshttps://doi.org/10.1348/000711000159330openalex-snapshot
Testing Thurstonian Case V ranking models using posterior predictive checks
inferred← citeshttps://doi.org/10.1348/000711006x169991openalex-snapshot
Influence analysis for the factor analysis model with ranking data
inferred← citeshttps://doi.org/10.1348/000711008x337703openalex-snapshot
On the modelling and estimation of attribute rankings with ties in the Thurstonian framework
inferred← citeshttps://doi.org/10.1515/jqas-2026-0012openalex-snapshot
Bayesian multivariate rank regression models for the analysis of sports data
inferred← citeshttps://doi.org/10.31234/osf.io/t7szvopenalex-snapshot
Bayesian analysis of subjective ranking data using Thurstonian Models: Tutorial, novel methods, and an open-source library
inferred← citeshttps://doi.org/10.3758/s13428-012-0300-3openalex-snapshot
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inferred← citeshttps://doi.org/10.3758/s13428-024-02479-0openalex-snapshot
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inferred← citeshttps://doi.org/10.4102/sajbm.v41i2.515openalex-snapshot
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PLMIX: An R package for modeling and clustering partially ranked data
inferred← citeshttps://doi.org/10.48550/arxiv.2003.06512openalex-snapshot
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