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Dynamic Network Quantile Regression Model
The dataset on the stocks traded in NYSE and NASDAQ in 2016, with common shareholder network and headquarter location network. -
Quantile regression for large-scale applications
Quantile regression for large-scale applications. -
Nearly Linear Row Sampling Algorithm for Quantile Regression
We give a row sampling algorithm for the quantile loss function with sample complexity nearly linear in the dimensionality of the data. -
Weighted-Average Quantile Regression
Weighted-average quantile regression framework for estimating linear regression models with non-linear quantile functions. -
Implicit Quantile Neural Networks for Jet Simulation and Correction
Reliable modeling of conditional densities is important for quantitative scientific fields such as particle physics. Implicit Quantile Neural Networks (IQNs) have been shown to... -
VRE Impact on System Electricity Price and Volatility
The dataset used in this study consists of hourly, real-time, historical data from six Independent System Operators (ISOs) in the U.S. using quantile and skew t-distribution... -
Motorcycle Dataset
The dataset used in the paper is a motorcycle dataset, which is used to evaluate the proposed algorithm. -
Financial Networks Using Quantile Regression and Granger Causality
The dataset used in this paper is a collection of stock returns of large U.S. and Indian firms. It is used to estimate financial networks using Granger causality and quantile... -
Distributional Reinforcement Learning with Quantile Regression
Distributional reinforcement learning with quantile regression
