Results 21 to 30 of about 1,092,620 (284)

Arbitrary Conditional Distributions with Energy

open access: yesCoRR, 2021
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
openaire   +3 more sources

Are there asymmetries in the effects of training on the conditional male wage distribution? [PDF]

open access: yes, 2010
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
core   +2 more sources

Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation

open access: yesMachine Learning: Science and Technology, 2023
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]

open access: yes, 2011
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

An Ordering Decision-Making Approach on Spare Parts for Civil Aircraft Based on a One-Sample Prediction

open access: yesIEEE Access, 2018
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

open access: yesJournal of Statistical Software, 2006
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
doaj   +3 more sources

The conditional permutation test for independence while controlling for confounders [PDF]

open access: yes, 2019
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

The Application of a Joint Distribution of Significant Wave Heights and Peak Wave Periods in the Northwestern South China Sea

open access: yesJournal of Marine Science and Engineering
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

open access: yes上海师范大学学报. 自然科学版, 2014
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
doaj   +1 more source

A Method of Probability Distribution Modeling of Multi-Dimensional Conditions for Wind Power Forecast Error Based on MNSGA-II-Kmeans

open access: yesEnergies, 2022
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

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