Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation. [PDF]
Appl Psychol Meas, 2023 Naveiras M, Cho SJ.
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HDLTex: Hierarchical Deep Learning for Text Classification
, 2017 The continually increasing number of documents produced each year necessitates ever improving information processing methods for searching, retrieving, and organizing text. Central to these information processing methods is document classification, which
Barnes, Laura E. +5 more
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Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor. [PDF]
Stat Methods Appt, 2022 Andreea L E +3 more
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Hierarchical shrinkage priors for dynamic regressions with many predictors [PDF]
This paper builds on a simple unified representation of shrinkage Bayes estimators based on hierarchical Normal-Gamma priors. Various popular penalized least squares estimators for shrinkage and selection in regression models can be recovered using this ...
Korobilis, Dimitris
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"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
M. S. Srivastava, Tatsuya Kubokawa
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AN ANALYSIS OF EQUILIBRIUM RELATIONSHIP BETWEEN PRICE ELASTICITY AND EXPENDITURE LEVEL: A CASE STUDY OF KOREAN MOBILE MARKET DATA [PDF]
In most developing countries, telecommunications industry has been grown fast and still has more growth potential than in the developed countries. Clearly the telecommunications industry contributes to foster economic developments and also to narrow the ...
Hongjai Rhee, Sangkyu Rhee
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Hierarchical classification for multiple, distributed web databases [PDF]
, 2004 The proliferation of online information resources increases the importance of effective and efficient distributed searching. Our research aims to provide an alternative hierarchical categorization and search capability based on a Bayesian network ...
Yang, Hui, Zhang, Minjie
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Modeling Dynamic Effects of the Marketing Mix on Market Shares [PDF]
To comprehend the competitive structure of a market, it is important to understand the short-run and long-run effects of the marketing mix on market shares.
Fok, D., Franses, Ph.H.B.F., Paap, R.
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A hierarchical Bayesian approach to robust parameter design. [PDF]
The goal of robust parameter design experiments is to identify significant location and dispersion factors that can be used to set the mean response at the target level and to decrease the sensitivity of the response to uncontrolled noise factors.
Goegebeur, Yuri +2 more
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A hierarchical Bayes error correction model to explain dynamic effects [PDF]
For promotional planning and market segmentation it is important to understand the short-run and long-run effects of the marketing mix on category and brand sales.
Fok, D. +3 more
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