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Spatial mixed model for areal data on the simplex
AGNESE MARIA DI BRISCO
, S Migliorati
Department of Economics and Business Studies
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Keyphrases
Italy
100%
Simplex
100%
Mixed Models
100%
Five Star Movement
100%
Areal Data
100%
Regression Model
50%
Response Variable
50%
Statistical Model
50%
Random Effects
50%
Spatial Structure
50%
Simulation Study
50%
Continuous Outcomes
50%
Southern Region
50%
Parliament
50%
Two-chamber
50%
Inequality Constraints
50%
Theoretical Properties
50%
Mixed Regression Models
50%
Heavy Tails
50%
Bimodality
50%
Mixture Structure
50%
Electoral Outcomes
50%
Hamiltonian Monte Carlo Algorithm
50%
Open Interval
50%
Spatial Correlation
50%
Computational Tractability
50%
Precision Parameters
50%
Electoral Districts
50%
Outlying Observation
50%
Mathematics
Regression Model
100%
Simplex
100%
Mixed Model
100%
Bayesian
50%
Wide Range
50%
Simulation Study
50%
Statistical Model
50%
Random Effect
50%
Response Variable
50%
Heavy Tail
50%
Hamiltonian Monte Carlo
50%
Monte Carlo Algorithm
50%
Inferential Issue
50%
Spatial Correlation
50%
Inequality Constraint
50%
Southern Region
50%
Open Interval
50%
Computer Science
Simulation Study
100%
Inequality Constraint
100%
Response Variable
100%
Spatial Structure
100%
Spatial Correlation
100%
Hamiltonian Monte Carlo
100%
Statistical Model
100%
Simplex
100%