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AxiomsThis paper proposes a variable selection method for a semiparametric varying coefficient spatial autoregressive panel model with fixed effects based on a penalized profile quasi-likelihood method, which can simultaneously select significant variables in ...
Ruiqin Tian, Miaojie Xia, Dengke Xu
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A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching
, 2015 Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration.
Nikolas Mittag
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Fixed-Effects Methods for the Analysis of Nonrepeated Events [PDF]
Sociological Methodology, 2006 For repeated events, fixed-effects regression methods—which control for all stable covariates—can be implemented by doing Cox regression with stratification on individuals. For nonrepeated events, we consider the use of conditional logistic regression to estimate fixed-effects models with discrete-time data.
Paul D. Allison, Nicholas A. Christakis
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An introduction to the full random effects model
CPT: Pharmacometrics & Systems Pharmacology, 2022 The full random‐effects model (FREM) is a method for determining covariate effects in mixed‐effects models. Covariates are modeled as random variables, described by mean and variance.
Gunnar Yngman +4 more
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Determinants of bank business success: A study of selected cases from former Yugoslav countries [PDF]
Bankarstvo, 2022 The paper examines the determinants of bank business success by applying panel analysis to a sample of former Yugoslavia countries. The study spans the 2010-2020 period.
Marić Vesna +2 more
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Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects
Journal of Mathematics, 2023 This paper studies the variable selection of high-dimensional spatial autoregressive panel models with fixed effects in which a matrix transformation method is applied to eliminate the fixed effects.
Miaojie Xia, Yuqi Zhang, Ruiqin Tian
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Random and Fixed Effects Selection for Weighted Ridge
International Journal of Analysis and Applications, 2023 Using penalized profiled log-likelihood and penalized limited profiled log-likelihood, respectively, together with the weighted ridge penalized term, we offer a method in this study for choosing the fixed and random effects in linear mixed models.
Lulah Alnaji
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The Effect of Fixing Method on the Result of Ultrasonic Infrared Thermography Testing [PDF]
E3S Web of Conferences, 2021 Considering the influence of the fixing method of the component in the system on its results in ultrasonic infrared thermography testing, the detection experiments of the cracked plat structure with fixing at one end and fixing at two ends are carried out through different fixing methods of the equivalent structure.
Tian Gan +4 more
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, 2016 This replication file contains data and source code to replicate the results in "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models" by Yiqing ...
Yiqing Xu
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Density-Fixing: Simple yet Effective Regularization Method based on the Class Priors
2021 International Joint Conference on Neural Networks (IJCNN), 2021 Machine learning models suffer from overfitting, which is caused by a lack of labeled data. To tackle this problem, we proposed a framework of regularization methods, called density-fixing, that can be used commonly for supervised and semi-supervised learning.
Masanari Kimura, Ryohei Izawa
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