Generalizing The Derivation Of The Schwarz Information Criterion (1999)

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by Joseph E. Cavanaugh , Andrew A. Neath
Citations:4 - 1 self

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16 Regression And Time Series Model Selection Using Variants Of The Schwarz Information Criterion – Andrew A. Neath, Joseph E. Cavanaugh - 1997
9 A Bootstrap Variant of AIC for State-Space Model Selection – Joseph E. Cavanaugh, Robert H. Shumway - 1997
20 Bayesian Statistics – Hyunsook Lee, L. Rosenberger - 1989
2 Information and Posterior Probability Criteria for Model Selection in Local Likelihood Estimation – Rafael A. Irizarry - 1998
58 Bayesian Model Selection and Model Averaging – Larry Wasserman - 1999
39 The variable selection problem – Edward I. George - 2000
11 A Large-Sample Model Selection Criterion Based on Kullback's Symmetric Divergence – Joseph E. Cavanaugh - 1999
10 Parameter Estimation and Model Selection in Image Analysis Using . . . – Peggy Lynne Seymour - 1993
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Cross Validation for Selection of Cortical Interaction Models From Scalp EEG or MEG – Bing Leung, Patrick Cheung, Robert Nowak, Hyong Chol Lee, Wim Van Drongelen, Barry D. Van Veen
Methods and Criteria for Model Selection – n.n.
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
Variance Estimates and Model Selection – Sidika Basci, S D Ka Basc, Asad Zaman - 1998
1 Model selection in High-Dimensions: A Quadratic-risk based approach – Surajit Ray, Bruce G. Lindsay - 2007
4 Learning the Bayesian Network Structure: Dirichlet Prior versus Data – Harald Steck
24 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
1 ANALYSIS OF COMPARATIVE DATA WITH HIERARCHICAL AUTOCORRELATION – CÉCILE ANÉ - 2008
12 Spline adaptation in extended linear models – Mark H. Hansen, Charles Kooperberg - 2002
8 PG-means: learning the number of clusters in data – Yu Feng, Greg Hamerly - 2007