Boosting Correlation Based Penalization in Generalized Linear Models [PDF]
, 2007 In high dimensional regression problems penalization techniques are a useful tool for estimation and variable selection. We propose a novel penalization technique that aims at the grouping effect which encourages strongly correlated predictors to be in ...
Tutz, Gerhard, Ulbricht, Jan
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Investigating the Effects of Financial Inclusion on Economic Growth: A Generalized Method of Moments and Quantile Approach [PDF]
تحقیقات مالیObjectiveFinancial inclusion is a key driver of economic growth. This article examines the impact of financial inclusion on economic growth in middle-income countries. The study measures financial inclusion based on three dimensions: banking penetration,
Akram Ghoreishvandiabrak +3 more
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Estimation methods for the variance of Birnbaum-Saunders distribution containing zero values with application to wind speed data in Thailand [PDF]
PeerJThailand is currently grappling with a severe problem of air pollution, especially from small particulate matter (PM), which poses considerable threats to public health.
Natchaya Ratasukharom +2 more
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Impact of climate vulnerability and climate readiness on income inequality: Evidence from developing countries [PDF]
Environmental EconomicsType of the article: Research Article AbstractRecognizing the link between climate vulnerability, climate readiness, and income inequality is crucial, as economic disparities can exacerbate climate risks and hinder adaptation, particularly in developing
Olfa Chaouech
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Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models [PDF]
Generalized Linear Models are a widely used method to obtain parametric es- timates for the mean function. They have been further extended to allow the re- lationship between the mean function and the covariates to be more flexible via Generalized ...
Gijbels, I., Prosdocimi, I., Croux, C.
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Zonotope-Based State Estimation for Boost Converter System with Markov Jump Process
MicromachinesThis article investigates the zonotope-based state estimation for boost converter system with Markov jump process. DC-DC boost converters are pivotal in modern power electronics, enabling renewable energy integration, electric vehicle charging, and ...
Chaoxu Guan +3 more
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Generalized Least Squares Estimation for Cointegration Parameters Under Conditional Heteroskedasticity [PDF]
In the presence of generalized conditional heteroscedasticity (GARCH) in the residuals of a vector error correction model (VECM), maximum likelihood (ML) estimation of the cointegration parameters has been shown to be efficient.
Helmut Herwartz, Helmut Luetkepohl
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MPDA: Microarray pooled DNA analyzer
BMC Bioinformatics, 2008 Background Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new technique uses pooled DNA, thereby reducing costs associated with the typing of DNA
Diccianni Mitchell B +8 more
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Improving Consistent Moment Selection Procedures for Generalized Method of Moments Estimation [PDF]
This paper proposes consistent moment selection procedures for generalized method of moments estimation based on the J test of over-identifying restrictions (Hansen [1982]) and on the Eichenbaum, Hansen and Singleton [1988] test of the validity of a ...
Jean-Bernard Chatelain
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Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [PDF]
The most used regression model with binary dependent variable is the logistic regression model. When the dependent variable represents a rare event, the logistic regression model shows relevant drawbacks.
Silvia Angela Osmetti +1 more
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