Results 31 to 40 of about 1,128,323 (301)
Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
doaj +1 more source
Inference about the slope in linear regression: an empirical likelihood approach [PDF]
, 2017 We present a new, efficient maximum empirical likelihood estimator for the slope in linear regression with independent errors and covariates. The estimator does not require estimation of the influence function, in contrast to other approaches, and is ...
Müller, Ursula U. +2 more
core +1 more source
Neural Networks for Partially Linear Quantile Regression [PDF]
Journal of Business & Economic Statistics, 2021 Deep learning has enjoyed tremendous success in a variety of applications but its application to quantile regression remains scarce. A major advantage of the deep learning approach is its flexibility to model complex data in a more parsimonious way than ...
Qixian Zhong, Jane-ling Wang
semanticscholar +1 more source
Valid post-selection inference in model-free linear regression
, 2020 S.1. Simulations Continued. The simulation setting in this section is the same as in Section 9. We first describe the reason for using the null situation β0 0p in the model.
A. Kuchibhotla +5 more
semanticscholar +1 more source
ON USING LINEAR QUANTILE REGRESSIONS FOR CAUSAL INFERENCE [PDF]
Econometric Theory, 2016 We show that the slope parameter of the linear quantile regression measures a weighted average of the local slopes of the conditional quantile function. Extending this result, we also show that the slope parameter measures a weighted average of the partial effects for a general structural function.
Kato, Ryutah, Sasaki, Yuya
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Assessing NARCCAP climate model effects using spatial confidence regions [PDF]
Advances in Statistical Climatology, Meteorology and Oceanography, 2017 We assess similarities and differences between model effects for the North American Regional Climate Change Assessment Program (NARCCAP) climate models using varying classes of linear regression models.
J. P. French +2 more
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Inference in High-dimensional Linear Regression
, 2021 31 pages, 4 figures, 7 ...
Battey, Heather S., Reid, Nancy
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ModularBoost: an efficient network inference algorithm based on module decomposition
BMC Bioinformatics, 2021 Background Given expression data, gene regulatory network(GRN) inference approaches try to determine regulatory relations. However, current inference methods ignore the inherent topological characters of GRN to some extent, leading to structures that ...
Xinyu Li +3 more
doaj +1 more source
Cluster-Robust Bootstrap Inference in Quantile Regression Models [PDF]
, 2015 In this paper I develop a wild bootstrap procedure for cluster-robust inference in linear quantile regression models. I show that the bootstrap leads to asymptotically valid inference on the entire quantile regression process in a setting with a large ...
Hagemann, Andreas
core +4 more sources
Nonparametric and semiparametric estimation with discrete regressors [PDF]
, 1994 This paper presents and discusses procedures for estimating regression curves when regressors are discrete and applies them to semiparametric inference problems.
Delgado, Miguel A., Mora, Juan
core +5 more sources