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Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2019, Volume 114, Issue 527, pp. 1382 - 1393
Regression quantiles have asymptotic variances that depend on the conditional densities of the response variable given regressors. This article develops a new... 
Standard error | Asymptotic variance | Conditional density estimation | Regression quantile | BOOTSTRAP | MODELS | STATISTICS & PROBABILITY | Regression | Quantiles | Confidence | Asymptotic properties | Adaptive control | Variance
Journal Article
Economics Letters, ISSN 0165-1765, 03/2018, Volume 164, pp. 5 - 9
The nexus between firm growth, size and age in U.S. manufacturing is examined through the lens of quantile regression models. This methodology allows us to... 
Conditional quantiles | Size | Age | Firm growth | BUSINESS-CYCLE | EVOLUTION | CROSS-SECTIONAL DYNAMICS | ECONOMICS | AGGREGATE FLUCTUATIONS
Journal Article
Energy Policy, ISSN 0301-4215, 08/2019, Volume 131, pp. 370 - 379
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2008, Volume 70, Issue 3, pp. 609 - 627
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 05/2017, Volume 46, Issue 10, pp. 5180 - 5193
Journal Article
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 09/2017, Volume 58, pp. 35 - 52
[Display omitted] •Particle Swarm Optimization (PSO)-trained Quantile Regression Neural Network, viz., PSOQRNN, proposed to forecast volatility from financial... 
GARCH | Quantile regression | PSO | QRNN | Financial time series volatility forecasting | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | FORESTS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY | PRICE-VOLATILITY | INDEX | EXCHANGE | Gold | Neural networks | Mathematical optimization | Analysis
Journal Article
Journal of Econometrics, ISSN 0304-4076, 2007, Volume 140, Issue 2, pp. 375 - 400
This paper focuses on nonparametric efficiency analysis based on robust estimation of partial frontiers in a complete multivariate setup (multiple inputs and... 
Frontier estimation | Conditional quantiles | Efficiency | Robust nonparametric estimators | efficiency | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODELS | conditional quantiles | REPRESENTATION | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | frontier estimation | Robust statistics | Usage | Econometrics | Analysis
Journal Article
Extremes: statistical theory and applications in science, engineering and economics, ISSN 1386-1999, 2019, Volume 22, Issue 4, pp. 599 - 622
Journal Article
by Wu, Qi and Yan, Xing
Journal of Economic Dynamics and Control, ISSN 0165-1889, 12/2019, Volume 109, p. 103771
Journal Article
Statistics and Probability Letters, ISSN 0167-7152, 09/2017, Volume 128, pp. 14 - 20
Recently, two different copula-based approaches have been proposed to estimate the conditional quantile function of a variable Y with respect to a vector of... 
Bootstrap | Copula | Quantile regression | Conditional quantile function | REGRESSION | STATISTICS & PROBABILITY | DEPENDENCE
Journal Article
Bernoulli, ISSN 1350-7265, 8/2009, Volume 15, Issue 3, pp. 659 - 686
Let $\text{Let}\ \{(Y_{{\bf i}},{\bf X}_{{\bf i}}),{\bf i}\in {\Bbb Z}^{N}\}$ be a stationary real-valued (d + 1)-dimensional spatial processes. Denote by... 
Density estimation | Linear regression | Time series | Soil organic matter | Soil acidity | Quantile regression | Data smoothing | Estimators | Estimation methods |