We quantify the complete dependence structure between CEI and CO2 at quantile distributions using a novel quantile-on-quantile (QQ) method proposed by Sim and Zhou (2015). Compared to classic approaches such as quantile regression and ordinary least squares, the QQ technique ...
The QQ method, unlike the conventional method (Mo et al., 2019), allows the tracing of the dynamic dependence structure under normal (intermediate quantiles), bullish (upper quantiles), or bearish (lower quantiles) conditions. In addition, the CQ approach can be used to determine a causal ...
Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To stud... S Momenyan,M Sadeghifar,F Sarvi,... - 《Asian Pacific Journal...
For the common binary response model, we propose a direct method for the nonparametric estimation of the effective dose level. The estimator is obtained by... H Dette,N Neumeyer,KF Pilz - 《Publications of the American Statistical Association》 被引量: 85发表: 2005年 ...
NAGATSUKA H, Balakrishnan N. An efficient method of parameter and quantile estimation for the three-parameter weibull distribution based on statistics invariant to unknown location parameter[J]. Journal of Statistical Computation & Simulation, 2015, 142(7): 1-19....
Addendum: in addition to the values returned being incorrect, the gradients returned by the backward method fortorch.quantileare weird on MPS (usually all zeros, but sometimes not). Example below. import torch device = torch.device("mps") ...
Abstract: Aiming at the wind power prediction problem, a wind power probability prediction method based on the quantile regression of a dilated causal convolutional neural network is proposed. With the developed model, the Adam stochastic gradient descent technique is utilized to solve the cavity param...
SIMU-BIO: To match the statistical properties of real gene expression more closely and mimic other noise sources such as non-additive noise, we apply resampling method to the biological data to construct an additional set of data. We apply t-test to HYPERDIP and TEL (79 arrays chosen from ...
aTherefore, the mass appraisal method based on quantile regression can make the full use of relevant information that helps to improve the accuracy of mass appraisal for the purpose of the real estate taxation and mortgage. 所以,根据分位点退化的许多评估方法可能做帮助为不动产的征税和抵押的目的改进...
We demonstrate the use of the new method over northern Eurasia. We fit a four-parameter beta distribution to monthly temperature fields and discuss the sensitivity of the results to the choice of distribution range parameters. For monthly precipitation data, a mixed gamma distribution is used that...