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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
