# Quantile regression

### Quantile Regression Forests

**quantile**approximations, loss func- tion (3) is used in conjunction with 5-fold ...conditional

**quantile**function, as discussed ...between

**quantile**

**regression**forests and the other ...

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### Objective Bayesian analysis on the quantile regression

**quantile**

**regression**, ranging from the frequentist approaches to the Bayesian ...the

**regression**coefficients at some fixed

**quantile**...the

**quantile**

**regression**models, to ...

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### Quantile regression methods in economics and finance

**quantile**

**regression**in a financial ...binary

**quantile**

**regression**approach, a hybrid bankruptcy prediction model with dynamic loadings for both the accounting-ratio-based and ...

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### Penalized single-index quantile regression

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### Censored quantile regression with auxiliary information

**regression**calibration based approach to the censored

**quantile**

**regression**...the

**regression**calibration method with the help of the auxiliary covariate and other available ...censored ...

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### Quantile regression with group lasso for classification

**quantile**

**regression**models with the use of a group lasso ...binary

**regression**and oﬀers an alternative to the mean-based logistic

**regression**model with group lasso penalty (Meier et al ...

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### Bayesian lasso binary quantile regression

**quantile**

**regression**, we refer to Manski (1975, 1985), Kordas (2006) and Benoit and Van den Poel (2012) for an ...because

**quantile**

**regression**is able to accommodate for non-normal ...

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### High quantile regression for extreme events

**quantile**

**regression**method will ...

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### Penalized Flexible Bayesian Quantile Regression

**quantile**

**regression**model for independent and clustered ...the

**quantile**of interest) as with other approaches (personal communication with ...

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### Bayesian Quantile Regression in Biostatistical Applications.

**quantile**

**regression**with these necessary ...group

**quantile**effects while accounting for within-subject dependence, enabling inference at the population and subject ...to

**quantile**function ...

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### Semiparametric quantile regression with random censoring

**regression**model,

**quantile**

**regression**(Bassett & Koenker 1978, Koenker & Bassett 1978) has been widely used in economics, …nance, biostatistics and medical statistics - see Koenker ...

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### Quantile regression : a penalization approach

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### Poverty and Intelligence: Evidence Using Quantile Regression

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### Demand for International Reserves: A Quantile Regression Approach

**quantile**

**regression**results when four different measures of reserve holdings are ...the

**quantile**

**regression**point estimates for θ in increments of ...one

**quantile**to another, ...

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### Efficient Estimation of an Additive Quantile Regression Model

**quantile**

**regression**...polynomial

**quantile**smoothing for each additive component with the other additive components replaced by the corresponding estimates from the first ...additive ...

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### Innovation and market value: A quantile regression analysis

**quantile**

**regression**approach avoids the restrictive assumption that the error terms are identically distributed at all points of the conditional ...

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### A quantile regression approach to bank efficiency measurement

**Quantile**

**regression**analysis. This technique has been frequently employed in the econometrics literature; however, there are only a few ...

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### Quantile Regression for Repeated Responses Measured with Error.

**quantile**curves of usual sodium intake as a function of age for two domains in the ...These

**quantile**curves clearly oﬀer a broader perspective about the usual sodium intake patterns across ...a ...

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### On High-Dimensional Misspecified Quantile Regression

**quantile**

**regression**and least squares estimators after model selection via maximal inequalities that hold uniformly over collections of models; and Kuchibhotla et ...the

**quantile**

**regression**...

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### Bayesian empirical likelihood for quantile regression

**quantile**

**regression**, we need to work with the

**quantile**estimating equations that involve discontinuous functions, so direct local expansions used in the EL literature cannot be ...

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