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14
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Regression And Time Series Model Selection Using Variants Of The Schwarz Information Criterion
– Andrew A. Neath, Joseph E. Cavanaugh
- 1997
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13
|
Bayesian Statistics
– Hyunsook Lee, L. Rosenberger
- 1989
|
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1
|
Information and Posterior Probability Criteria for Model Selection in Local Likelihood Estimation
– Rafael A. Irizarry
- 1998
|
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33
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Bayesian Model Selection and Model Averaging
– Larry Wasserman
- 1999
|
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25
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The variable selection problem
– Edward I. George
- 2000
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7
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A Large-Sample Model Selection Criterion Based on Kullback's Symmetric Divergence
– Joseph E. Cavanaugh
- 1999
|
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10
|
Parameter Estimation and Model Selection in Image Analysis Using . . .
– Peggy Lynne Seymour
- 1993
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Model Selection
– Yngve Selén
- 2004
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Methods and Criteria for Model Selection
– n.n.
|
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155
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Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables
– David Maxwell Chickering, David Heckerman
- 1997
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Variance Estimates and Model Selection
– Sidika Basci, S D Ka Basc, Asad Zaman
- 1998
|
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Model selection in High-Dimensions: A Quadratic-risk based approach
– Surajit Ray, Bruce G. Lindsay
- 2007
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2
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Learning the Bayesian Network Structure: Dirichlet Prior versus Data
– Harald Steck
|
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13
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Estimating the integrated likelihood via posterior simulation using the harmonic mean identity
– Adrian E. Raftery, Michael A. Newton, Jaya M. Satagopan, Pavel N. Krivitsky
- 2007
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10
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Spline adaptation in extended linear models
– Mark H. Hansen, Charles Kooperberg
- 2002
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6
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PG-means: learning the number of clusters in data
– Yu Feng, Greg Hamerly
- 2007
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unknown title
– David Posada
- 2006
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6
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Minimum Message Length Grouping of Ordered Data
– Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe
- 2000
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1
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An application of minimum description length clustering to partitioning learning curves
– Daniel J. Navarro
- 2005
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