State Space Mixed Models for Longitudinal Observations with Binary and Binomial Responses
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State Space Mixed Models for Longitudinal Observations with Binary and Binomial Responses
We propose a new class of state space models for longitudinal discrete response data where the observation equation is specified in an additive form involving both deterministic and random linear predictors. These models allow us to explicitly address the effects of trend, seasonal or other time-varying covariates while preserving the power of state space models in modeling serial dependence in...
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