A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court
From MaRDI portal
Publication:1658411
DOI10.1016/j.csda.2016.12.010zbMath1466.62048OpenAlexW2564207870MaRDI QIDQ1658411
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.12.010
clusteringhidden Markov modelexchangeabilitycombinatorial stochastic processSupreme Courtvoting data
Related Items
Exact inference for a class of hidden Markov models on general state spaces, Spatial voting models in circular spaces: a case study of the U.S. House of Representatives
Cites Work
- Unnamed Item
- Convergence rates of Markov chains on spaces of partitions
- The cut-and-paste process
- Optimal filtering and the dual process
- Spatial product partition models
- Two-parameter family of infinite-dimensional diffusions on the Kingman simplex
- The coalescent
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Rejoinder: The ubiquitous Ewens sampling formula
- Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
- The sampling theory of selectively neutral alleles
- A Bayesian analysis of some nonparametric problems
- How many clusters?
- Two-Parameter Poisson–Dirichlet Measures and Reversible Exchangeable Fragmentation–Coalescence Processes
- Hidden Markov Models for Speech Recognition
- Random partitions in population genetics
- Bayesian Methods for Hidden Markov Models
- RELATIVELY EXCHANGEABLE STRUCTURES
- Objective Priors for Discrete Parameter Spaces
- A pattern analysis of the second Rehnquist U.S. Supreme Court
- Hidden Markov models for bioinformatics
