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Generating Data Analysis Programs from Statistical Models
, 2001
"... Extracting information from data, often also called data analysis, is an important scientific task. Statistical approaches, which use methods from probability theory and numerical analysis, are wellfounded but difficult to implement: the development of a statistical data analysis program for any gi ..."
Abstract

Cited by 19 (5 self)
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Extracting information from data, often also called data analysis, is an important scientific task. Statistical approaches, which use methods from probability theory and numerical analysis, are wellfounded but difficult to implement: the development of a statistical data analysis program for any given application is timeconsuming and requires knowledge and experience in several areas. In this paper, we describe AutoBayes, a highlevel generator system for data analysis programs from statistical models. A statistical model specifies the properties for each problem variable (i.e., observation or parameter) and its dependencies in the form of a probability distribution. It is thus a fully declarative problem description, similar in spirit to a set of differential equations. From this model, AutoBayes generates optimized and fully commented C/C++ code which can be linked dynamically into the Matlab and Octave environments. Code is generated by schemaguided deductive synthesis....
AutoBayes: A System for Synthesizing Data Analysis Programs
, 2000
"... Introduction Statistical approaches to data analysis, which use methods from probability theory and numerical analysis, are wellfounded but difficult to implement: the development of a statistical data analysis program for any given application is timeconsuming and requires knowledge and experien ..."
Abstract

Cited by 1 (0 self)
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Introduction Statistical approaches to data analysis, which use methods from probability theory and numerical analysis, are wellfounded but difficult to implement: the development of a statistical data analysis program for any given application is timeconsuming and requires knowledge and experience in several areas. AutoBayes [BFP99, FSP00] is a fully automatic highlevel generator system for data analysis programs from statistical models which aims to overcome these barriers. AutoBayes follows the schemabased deductive approach to program synthesis. This means that the programs are constructed by the instantiation of generic algorithm schemas, e.g., EM. This process is supported by logicbased deduction to ensure the consistency between specification (i.e., statistical model) and synthesized program. AutoBayes uses a textual notation which is based on graphical models (more precisely, Bayesian networks) to specify the statist