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Arbitrary Conditional Distributions with Energy
Modeling distributions of covariates, or density estimation, is a core challenge in unsupervised learning. However, the majority of work only considers the joint distribution, which has limited utility in practical situations. A more general and useful problem is arbitrary conditional density estimation, which aims to model any possible conditional ...
Ryan R. Strauss, Junier B. Oliva
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Are there asymmetries in the effects of training on the conditional male wage distribution? [PDF]
Recent studies have used quantile regression (QR) techniques to estimate the impact of education on the location, scale and shape of the conditional wage distribution.
A Abadie +28 more
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Learning over the domain of 3D graphs has applications in a number of scientific and engineering disciplines, including molecular chemistry, high energy physics, and computer vision.
Eyal Rozenberg, Daniel Freedman
doaj +1 more source
On kernel smoothing for extremal quantile regression [PDF]
Nonparametric regression quantiles obtained by inverting a kernel estimator of the conditional distribution of the response are long established in statistics.
Daouia, Abdelaati +2 more
core +7 more sources
Ordering decision-making on spare parts is crucial in maximizing aircraft utilization and minimizing operating costs. This paper develops an approach of ordering decision-making for civil aircraft spare parts based on a one-sample prediction. Engineering
Yongquan Sun +3 more
doaj +1 more source
Some Algorithms for the Conditional Mean Vector and Covariance Matrix
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
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The conditional permutation test for independence while controlling for confounders [PDF]
We propose a general new method, the conditional permutation test, for testing the conditional independence of variables $X$ and $Y$ given a potentially high-dimensional random vector $Z$ that may contain confounding factors.
Athey +26 more
core +2 more sources
A joint distribution of significant wave heights (Hs) and peak wave periods (Tp) in the northwestern South China Sea is created using a conditional distribution model in this work.
Gongpeng Liu +3 more
doaj +1 more source
The pricing of the firm bond with extendable maturity by the structural form approach
This article deals with the credit risk by the structural form approach.The firm has an option of extending maturity by the firm′s credit rating on the nominal expiry date .We obtain a pricing formula for the firm bond with extendable maturity the PDE ...
REN Xuemin, GENG Lifang
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How to consider both the influence of weather and wind power in the modeling process of probability distribution of wind power forecast error (WPFE), and to emphasize the application value of conditional modeling, is rarely studied at present. This paper
Jian Yang +5 more
doaj +1 more source

