Rank tests from partially ordered data using importance and MCMC sampling methods
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Publication:1790345
DOI10.1214/16-STS549zbMath1442.62095OpenAlexW2524909063MaRDI QIDQ1790345
Nina Hinrichs, Debashis Mondal
Publication date: 2 October 2018
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ss/1475001232
proportional hazard modelGibbs samplinglinear extensionsexact teststopological sortinglinear rank statisticsfuzzy \(p\)-valuesiterval censoringperfect MCMC
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Cites Work
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- Generating a random linear extension of a partial order
- Some poset statistics
- On the conductance of order Markov chains
- Counting linear extensions
- Edge-disjoint spanning trees and depth-first search
- Faster random generation of linear extensions
- Mixing times of lozenge tiling and card shuffling Markov chains
- Bayesian computation and stochastic systems. With comments and reply.
- The interplay of Bayesian and frequentist analysis
- Rank tests from partially ordered data using importance and MCMC sampling methods
- Posterior predictive \(p\)-values
- Perfect sampling using bounding chains.
- Fast perfect sampling from linear extensions
- Fuzzy and randomized confidence intervals and p-values
- Monte Carlo strategies in scientific computing.
- Exact Goodness‐of‐Fit Tests for Markov Chains
- Longest Increasing and Decreasing Subsequences
- Topological sorting of large networks
- Fuzzy p-values in latent variable problems
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Rank-based inference in the proportional hazards model for interval censored data
- A note on some recent likelihoods leading to the log rank test
- A fast algorithm for computing longest common subsequences
- Linear rank tests with right censored data
- A measure of the agreement between rankings
- On the distribution of the length of the longest increasing subsequence of random permutations
- P Values for Composite Null Models
- A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model
- A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Generalized Monte Carlo significance tests
- Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling
- Exact sampling with coupled Markov chains and applications to statistical mechanics
- Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives
- The Transitive Reduction of a Directed Graph
- Significance Testing of the Spearman Rank Correlation Coefficient
- Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks
- Use of Ranks in One-Criterion Variance Analysis
- Observational studies.
