Selecting Models from Data - Lecture Notes in Statistics
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Published By Springer New York

9780387942810, 9781461226604

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Detecting and Explaining Dependencies in Execution Traces

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_8 ◽

1994 ◽

pp. 71-77 ◽

Cited By ~ 3

Author(s):

Adele E. Howe ◽

Paul R. Cohen

Keyword(s):

Execution Traces

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Using knowledge-assisted discriminant analysis to generate new comparative terms

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_49 ◽

1994 ◽

pp. 479-486

Author(s):

Bing Leng ◽

Bruce G. Buchanan

Keyword(s):

Discriminant Analysis

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Principal components and model selection

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_43 ◽

1994 ◽

pp. 425-432

Author(s):

Beat E. Neuenschwander ◽

Bernard D. Flury

Keyword(s):

Model Selection ◽

Principal Components

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Selecting a frailty model for longitudinal breast cancer data

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_31 ◽

1994 ◽

pp. 299-307

Author(s):

D. Moreira dos Santos ◽

R. B. Davies

Keyword(s):

Breast Cancer ◽

Frailty Model ◽

Breast Cancer Data ◽

Cancer Data

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The Software Reliability Consultant

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_29 ◽

1994 ◽

pp. 283-292

Author(s):

George J. Knafl ◽

Andrej Semrl

Keyword(s):

Software Reliability

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A Parallel Constructor of Markov Networks

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_26 ◽

1994 ◽

pp. 255-261

Author(s):

Randy Mechling ◽

Marco Valtorta

Keyword(s):

Markov Networks

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Rational Learning: Finding a Balance Between Utility and Efficiency

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_2 ◽

1994 ◽

pp. 11-20

Author(s):

Jonathan Gratch ◽

Gerald DeJong ◽

Yuhong Yang

Keyword(s):

Rational Learning

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Strategies for Graphical Model Selection

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_10 ◽

1994 ◽

pp. 91-100 ◽

Cited By ~ 7

Author(s):

David Madigan ◽

Adrian E. Raftery ◽

Jeremy C. York ◽

Jeffrey M. Bradshaw ◽

Russell G. Almond

Keyword(s):

Model Selection ◽

Graphical Model

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Algorithmic speedups in growing classification trees by using an additive split criterion

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_44 ◽

1994 ◽

pp. 435-444 ◽

Cited By ~ 3

Author(s):

David Lubinsky

Keyword(s):

Classification Trees ◽

Split Criterion

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Markov Chain Monte Carlo Methods for Hierarchical Bayesian Expert Systems

Selecting Models from Data - Lecture Notes in Statistics ◽

10.1007/978-1-4612-2660-4_45 ◽

1994 ◽

pp. 445-452 ◽

Cited By ~ 1

Author(s):

Jeremy C. York ◽

David Madigan

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Expert Systems ◽

Monte Carlo Methods ◽

Hierarchical Bayesian

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Selecting Models from Data - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Detecting and Explaining Dependencies in Execution Traces

Using knowledge-assisted discriminant analysis to generate new comparative terms

Principal components and model selection

Selecting a frailty model for longitudinal breast cancer data

The Software Reliability Consultant

A Parallel Constructor of Markov Networks

Rational Learning: Finding a Balance Between Utility and Efficiency

Strategies for Graphical Model Selection

Algorithmic speedups in growing classification trees by using an additive split criterion

Markov Chain Monte Carlo Methods for Hierarchical Bayesian Expert Systems

Selecting Models from Data - Lecture Notes in Statistics
Latest Publications