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Bayesian information criterion

Known as: BIC (statistics), Bayesian information criteria, Schwarz Criterion 
In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selection among a finite set… 
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Related topics

Related topics

21 relations
Akaike information criterionAutoregressive integrated moving averageBayes factorComputational phylogenetics

Broader (1)

Model selection

Papers overview

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2011
2011
Study of polynomial curve fitting algorithm for outlier elimination
An algorithm based on polynomial curve fitting algorithm was proposed to process outlier error of flight testing data. At first… 
2005
2005
Querying and Repairing Inconsistent XML Data
The problem of repairing XML data which are inconsistent and incomplete with respect to a set of integrity constraints and a DTD… 
2005
2005
Running head: ABDUCTION, DEDUCTION AND INDUCTION Abduction, Deduction, and Induction: Their implications to quantitative methods
While quantitative methods have been widely applied by social scientists such as sociologists, psychologists, and economists… 
2003
2003
A sequential metric-based audio segmentation method via the Bayesian information criterion
In this paper, we propose a sequential metric-based audio segmentation method that has the advantage of low computation cost of… 
2000
2000
Audio stream phrase recognition for a national gallery of the spoken word: "one small step"
, 
1998
1998
Superradiant lasing from J-aggregated molecules adsorbed onto colloidal silver
The picosecond time-resolved emission spectrum of the cyanine dye 1,1′-diethyl-3,3′bis-(3-sulfopropyl)-5,5′,6,6… 
1997
1997
Bayesian Approaches to Segmenting A Simple Time Series
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting… 
1989
1989
A self-testing ALU using built-in current sensing
A CMOS ALU (arithmetic logic unit) chip containing built-in current (BIC) sensors, which perform self-testing of the ALU, is… 
1989
1989
Quadtree-Structured Linear Prediction Models for Image Sequence Processing
A summary is presented of a study on two-dimensional linear prediction models for image sequence processing and its application… 
1984
1984
Filter-order selection in adaptive maximum likelihood estimation
The choice of the number of parameters is an important problem in adaptive filtering. In the general ground of maximum likelihood…