Semiparametric regression with shape-constrained penalized splines

Computational Statistics and Data Analysis

Volumn 55, Issue 10, 2011, Pages 2871-2879

  Hazelton, Martin L ^a   Turlach, Berwin A ^b  

^a MASSEY UNIVERSITY   (New Zealand)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Linear mixed model; MCMC; Shape constraint; Spline; Truncated multivariate normal

Indexed keywords

COMPUTATIONALLY EFFICIENT; COVARIATES; GROWTH CURVES; LINEAR MIXED MODELS; MARKOV CHAIN MONTE CARLO METHOD; MCMC; MODEL FITTING; MODEL PARAMETERS; MONOTONICITY; MULTIVARIATE NORMAL; NON-LINEAR RELATIONSHIPS; PENALIZED SPLINES; PRIOR DISTRIBUTION; PROPOSAL DISTRIBUTION; REGRESSION FUNCTION; SAMPLING DISTRIBUTION; SCATTER PLOTS; SEMIPARAMETRIC; SEMIPARAMETRIC REGRESSION MODEL; SHAPE CONSTRAINTS; SITKA SPRUCE;

MARKOV PROCESSES; MONTE CARLO METHODS; NORMAL DISTRIBUTION; REGRESSION ANALYSIS;

SPLINES;

EID: 79958128064     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.04.018     Document Type: Article

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