Pages that link to "Item:Q1662312"
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The following pages link to Model selection for time series of count data (Q1662312):
Displaying 12 items.
- Sample selection models for count data in R (Q722737) (← links)
- Random coefficients integer-valued threshold autoregressive processes driven by logistic regression (Q2068888) (← links)
- Efficient Bayesian model choice for partially observed processes: with application to an experimental transmission study of an infectious disease (Q2226713) (← links)
- Models for autoregressive processes of bounded counts: how different are they? (Q2228223) (← links)
- Identification of the relative timing of infectiousness and symptom onset for outbreak control (Q2288475) (← links)
- Bayesian model discrimination for partially-observed epidemic models (Q2295987) (← links)
- Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued autoregressive processes (Q2338096) (← links)
- Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models (Q2358907) (← links)
- Necessary and sufficient conditions for the identifiability of observation‐driven models (Q4997691) (← links)
- Consistent model selection procedure for general integer-valued time series (Q5085219) (← links)
- Variable selection for an improved INAR(1) model with explanatory variables using 2SPCLS (Q6179288) (← links)
- On Bayesian model selection for INGARCH models viatrans-dimensional Markov chain Monte Carlo methods (Q6669917) (← links)
