Remembering rewarding futures: A simulation‐selection model of the hippocampus
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DOI: 10.1002/hipo.23023
Abstract: Despite tremendous progress, the neural circuit dynamics underlying hippocampal mnemonic processing remain poorly understood. We propose a new model for hippocampal function—the simulation‐selection model—based on recent experimental findings and neuroecological considerations. Under this model, the… read more here.
Keywords: model; selection model; simulation selection; hippocampus ... See more keywords
A sparse chance constrained portfolio selection model with multiple constraints
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DOI: 10.1007/s10898-020-00901-3
Abstract: This paper presents a general sparse portfolio selection model with expectation, chance and cardinality constraints. For the sparse portfolio selection model, we derive respectively the sample based reformulation and distributionally robust reformulation with mixture distribution… read more here.
Keywords: multiple constraints; model; selection model; portfolio selection ... See more keywords
Model selection and model averaging for semiparametric partially linear models with missing data
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1410717
Abstract: ABSTRACT We study model selection and model averaging in semiparametric partially linear models with missing responses. An imputation method is used to estimate the linear regression coefficients and the nonparametric function. We show that the… read more here.
Keywords: averaging semiparametric; semiparametric partially; model averaging; model ... See more keywords
THE EFFECTIVE BENCHMARK SELECTION MODEL AND SIMULATION IN THE POWER SECTOR OF CHINA’S ETS
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DOI: 10.1142/s2010007820410067
Abstract: In 2019, the National Carbon Emission Trading Scheme (ETS) of China’s power generation industry was officially launched, and the free allocation and benchmark are the primary ways for allowance allocation in the first phase of… read more here.
Keywords: allowance; power; generation; selection model ... See more keywords
A GENERALIZED MEASURE OF UNCERTAINTY IN GEOSTATISTICAL MODEL SELECTION
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DOI: 10.5705/ss.202016.0368
Abstract: Model selection and model averaging are essential to regression analysis in environmental studies, but determining which of the two approaches is the more appropriate and under what circumstances remains an active research topic. In this… read more here.
Keywords: uncertainty; measure; model; selection model ... See more keywords