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Focused information criterion
Known as:
Focussed information criterion
, Information criterion
In statistics, the focused information criterion (FIC) is a method for selecting the most appropriate model among a set of competitors for a given…
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Related topics
Related topics
9 relations
Akaike information criterion
Bayesian information criterion
Deviance information criterion
Generalized linear model
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Broader (1)
Model selection
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
FOCUSED INFORMATION CRITERION BASED PARTITIONED ITERATIVE X-MEANS DICE CORRELATION CLUSTERING FOR BIG GEO-SOCIAL DATA
M. Anoop
,
P. Sripriya
2020
Corpus ID: 219063933
Geo-social data is location-based social media data which is generated by people on social network (i.e. face book, twitter etc…
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2018
2018
BETTER INPUT MODELING VIA MODEL AVERAGING
M. Rabe
,
A. Juan
,
N. Mustafee
,
A. Skoogh
,
S. Jain
,
B. Johansson
2018
Corpus ID: 145042503
Rather than the standard practice of selecting a single “best-fit” distribution from a candidate set, frequentist model averaging…
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2018
2018
The Focused Information Criterion for Stochastic Model Selection Problems Using $M$-Estimators
S.C.Pandhare
,
T.V.Ramanathan
2018
Corpus ID: 88523586
Claeskens and Hjort (2003) constructed the focused information criterion (FIC) and developed frequentist model averaging methods…
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2016
2016
On the equivalence of confidence interval estimation based on frequentist model averagingand least-squares for the full model in linear regression
Sebastian Ankargren
,
Shaobo Jin
2016
Corpus ID: 125017405
In many applications of linear regression models, model selection is vital. However, randomness due to model selection is…
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2015
2015
TOPICS IN MODEL AVERAGING & TOXICITY MODELS IN COMBINATION THERAPY
Min‐ge Xie
2015
Corpus ID: 55014950
OF THE DISSERTATION Topics In Model Averaging & Toxicity Models In Combination Therapy By PRIYAM MITRA Dissertation Director: Dr…
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2012
2012
Focused Information criteria for selecting among parametric and nonparametric models
Martin Jullum
2012
Corpus ID: 111161263
2009
2009
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction
Shikui Tu
,
L. Xu
International Conference on Agents
2009
Corpus ID: 10836267
Detecting the dimension of the latent subspace of a linear model, such as Factor Analysis, is a well-known model selection…
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Review
2009
Review
2009
Model Selection in Estimation of Fitness Landscapes
C. Geyer
,
R. Shaw
2009
Corpus ID: 118776096
A solution to the problem of estimating fitness landscapes was proposed by Lande and Arnold (1983). Another solution, which…
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2003
2003
Discussion: Improved, Corrected, and Profiled Focused Information Criteria
Tsai C-L.
2003
Corpus ID: 124917711
stant ¿ in a true model was used to control the “distance” between the working model and the true model. The general idea was to…
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2003
2003
Frequentist model averaging and model selection
G. Claeskens
,
N. Hjort
2003
Corpus ID: 125137907
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