Using Quantile Regression for Duration Analysis [PDF]
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Wilke, Ralf A., Fitzenberger, Bernd
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Analysis of Health-Related Quality of Life in Multiple Sclerosis: A Bayesian Quantile LASSO Approach. [PDF]
Lu X, Li J, Aparasu RR, Wu C.
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Low-Rank Variational Correction Estimation for Multi-Source Heterogeneous Quantile Linear Regression Models. [PDF]
Li H, Luo L, Wang M, Tang N.
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Quantile Tensor Regression for Integrative Genomic Analysis of Oesophageal Carcinoma. [PDF]
Liu S +5 more
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Change point detection using Bayesian adaptive LASSO quantile regression
Ranran Chen +4 more
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Chromosome-scale genome assembly and genomic prediction of essential oil compounds in Atractylodes lancea for genomics-assisted breeding. [PDF]
Tsusaka T +5 more
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Bayesian LASSO Quantile Regression: An Application to the Modeling of Low Birth Weight [PDF]
The modeling of low birth weight using ordinary least square is not appropriate and inefficient. The low birth weight data violates the normality assumption since the data is right skewed. The data usually contains outliers as well.
Yanuar, Ferra
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Serum Levels of 18 Trace Elements and Type 2 Diabetes Mellitus: A Propensity Score-Matched Case-Control Study in Northwest Chinese Adults. [PDF]
Ma L +6 more
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Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis. [PDF]
Pietrosanu M +4 more
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Everything Is Prediction: Modern Machine Learning as Bayesian Inference. [PDF]
Polson NG, Sokolov V, Soyer R.
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