Results 11 to 20 of about 363,287 (369)
Frontiers in Public Health, 2021 The degree of coupling and coordination between the pharmaceutical manufacturing industry and the medical service industry crucially requires improvement by promoting the development of the pharmaceutical manufacturing industry through industrial ...
Meng Hu, Chunhai Tao, Hao Zhou
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Economies, 2020 This paper examines the predictive power of time-varying risk aversion over payoffs to the carry trade strategy via the cross-quantilogram methodology.
Riza Demirer +3 more
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International Journal of Sustainable Development and World Ecology, 2021 With 2.5 global hectares (gha) per capita against 2.7 gha per capita, China’s ecological footprint is desirably below the world’s average ecological footprint per capita.
A. Alola +2 more
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Fintech, financial inclusion and income inequality: a quantile regression approach
European Journal of Finance, 2020 Although theory suggests that financial market imperfections – mainly information asymmetries, market segmentation and transaction costs – prevent poor people from escaping poverty by limiting their access to formal financial services, new financial ...
Ayşegül Demir +3 more
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quantreg. nonpar: An R Package for performing nonparametric series quantile regression [PDF]
, 2016 The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based ...
Belloni, Alexandre +3 more
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Bayesian quantile regression [PDF]
Working Paper Series, 2005 Recent work by Schennach(2005) has opened the way to a Bayesian treatment of quantile regression. Her method, called Bayesian exponentially tilted empirical likelihood (BETEL), provides a likelihood for data y subject only to a set of m moment conditions of the form Eg(y, θ) = 0 where θ is a k dimensional parameter of interest and k may be smaller ...
Tony Lancaster, Sung Jae Jun
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Quantile Double Autoregression [PDF]
SSRN Electronic Journal, 2019 Many financial time series have varying structures at different quantile levels, and also exhibit the phenomenon of conditional heteroskedasticity at the same time. However, there is presently no time series model that accommodates both of these features.
Zhu, Qianqian, Li, Guodong
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Investigating the impacts of technological innovation and renewable energy on environmental pollution in countries selected by the International Renewable Energy Agency: A quantile regression approach [PDF]
Caspian Journal of Environmental Sciences, 2020 Investigating the factors affecting CO2 emissions has always been a challenge. One problem with existing studies is that these studies have been relied on mean-based regression approaches, such as ordinary least squares (OLS) or instrumental variables ...
Nasim Masoudi +2 more
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M-quantile regression analysis of temporal gene expression data [PDF]
, 2009 In this paper, we explore the use of M-regression and M-quantile coefficients to detect statistical differences between temporal curves that belong to different experimental conditions.
Vinciotti, V, Yu, K
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Bias correction capabilities of quantile mapping methods for rainfall and temperature variables
Journal of Water and Climate Change, 2021 This study aims to conduct a thorough investigation to compare the abilities of quantile mapping (QM) techniques as a bias correction method for the raw outputs from general circulation model (GCM)/regional climate model (RCM) combinations. The Karkheh
M. Enayati +4 more
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