Pages that link to "Item:Q1010578"
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The following pages link to Pairwise likelihood inference for ordinal categorical time series (Q1010578):
Displaying 16 items.
- On composite marginal likelihoods (Q732228) (← links)
- On weighting of bivariate margins in pairwise likelihood (Q1002349) (← links)
- Regression models for binary time series with gaps (Q1023754) (← links)
- A note on predictive densities based on composite likelihood methods (Q1640648) (← links)
- Composite likelihood estimation for a Gaussian process under fixed domain asymptotics (Q2008225) (← links)
- Analysis of dependent data aggregated into intervals (Q2237827) (← links)
- Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables (Q2329772) (← links)
- Pairwise likelihood ratio tests and model selection criteria for structural equation models with ordinal variables (Q2364850) (← links)
- Time series analysis of categorical data using auto-mutual information (Q2390467) (← links)
- Mixture models for ordinal data: a pairwise likelihood approach (Q2631383) (← links)
- A STATE‐SPACE MODEL FOR UNIVARIATE ORDINAL‐VALUED TIME SERIES (Q3520657) (← links)
- Pairwise Likelihood Inference for General State Space Models (Q3615083) (← links)
- Composite Likelihood Estimation of an Autoregressive Panel Ordered Probit Model with Random Effects (Q6149871) (← links)
- Individualized inference through fusion learning (Q6601097) (← links)
- Changepoint detection in autocorrelated ordinal categorical time series (Q6626506) (← links)
- A mixture distribution for modelling bivariate ordinal data (Q6640095) (← links)
