Pages that link to "Item:Q2871248"
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The following pages link to Richly parameterized linear models. Additive, time series, and spatial models using random effects (Q2871248):
Displaying 14 items.
- Approximately exact calculations for linear mixed models (Q887270) (← links)
- Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379) (← links)
- A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes (Q2080349) (← links)
- A memory-free spatial additive mixed modeling for big spatial data (Q2195533) (← links)
- Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions (Q2273140) (← links)
- Fitting monotone polynomials in mixed effects models (Q2329751) (← links)
- Statistical analysis of a linear regression model with restrictions and superfluous variables (Q2691310) (← links)
- Counting degrees of freedom in hierarchical and other richly-parameterised models (Q2775630) (← links)
- Book Reviews (Q5367446) (← links)
- Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach (Q5473213) (← links)
- Measurement error in two‐stage analyses, with application to air pollution epidemiology (Q6179515) (← links)
- We <i>can</i> understand complex models (at least, sometimes) (Q6179519) (← links)
- Rejoinder (Q6179521) (← links)
- Further remarks on constrained over-parameterized linear models (Q6549168) (← links)
