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03/07/2023
PanIC: consistent information criteria for general model selection problems
Model selection is a ubiquitous problem that arises in the application o...
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04/18/2021
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models
Model selection, via penalized likelihood type criteria, is a standard t...
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04/06/2021
A non-asymptotic penalization criterion for model selection in mixture of experts models
Mixture of experts (MoE) is a popular class of models in statistics and ...
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12/04/2020
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Mixture of experts (MoE) models are widely applied for conditional proba...
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09/23/2020
Finite sample inference for generic autoregressive models
Autoregressive stationary processes are fundamental modeling tools in ti...
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09/02/2020