Niet blij met je aankoop? Geeft niet! Bij ons kun je binnen 30 dagen retourneren
Met een cadeaubon zit je altijd goed. De ontvanger kan de cadeaubon voor alles uit ons assortiment inwisselen.
Retourneren binnen 30 dagen
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Key Features: - Critical thinking on causal effects - Objective Bayesian philosophy - Nonparametric Bayesian methodology - Simulation based computing techniques - Bioinformatics and Biostatistics Key Features: Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics