Results 1 to 10 of about 95,782 (269)

A robust permutation test for subvector inference in linear regressions

Quantitative Economics
We develop a new permutation test for inference on a subvector of coefficients in linear models. The test is exact when the regressors and the error terms are independent. Then we show that the test is asymptotically of correct level, consistent, and has power against local alternatives when the independence condition is relaxed, under two main ...
D'Haultfœuille, Xavier, Tuvaandorj, Purevdorj   +1 more
openaire   +3 more sources

tgp: An R Package for Bayesian Nonstationary, Semiparametric Nonlinear Regression and Design by Treed Gaussian Process Models

Journal of Statistical Software, 2007
The tgp package for R is a tool for fully Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes with jumps to the limiting linear model.
Robert B. Gramacy
doaj  

An Rkhs Approach for Pivotal Inference in Functional Linear Regression

Statistica Sinica
We develop methodology for testing hypotheses regarding the slope function in functional linear regression for time series via a reproducing kernel Hilbert space approach. In contrast to most of the literature, which considers tests for the exact nullity of the slope function, we are interested in the null hypothesis that the slope function vanishes ...
Dette, Holger, Tang, Jiajun
openaire   +2 more sources

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference

Journal of Cheminformatics
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular ...
Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu   +5 more
doaj   +1 more source

Bayesian neural networks and Gaussian processes in identification of concrete properties

Computer Assisted Methods in Engineering and Science, 2017
This paper gives a concise overview of concrete properties prediction using advanced nonlinear regression approach and Bayesian inference. Feed-forward layered neural network (FLNN) with Markov chain Monte Carlo stochastic sampling and Gaussian process (
Marek Słoński
doaj  

Inference on function-valued parameters using a restricted score test. [PDF]

J R Stat Soc Series B Stat Methodol
Hudson A, Carone M, Shojaie A.
europepmc   +1 more source

Mapping the Analytical Landscape of Gene-Diet Interactions in Epidemiology: From Classical Models to Causal and Multi-Omics Frameworks. [PDF]

Nutrients
Maugeri A.
europepmc   +1 more source

Exploring the association between hedonic hunger and obesogenic eating behaviors in females with overweight/obesity using machine learning methods. [PDF]

Sci Rep
Karamizadeh M, Sadeghi E, Khalilitehrani A, Akbarzadeh M, Mahdavi R, Pourghassem Gargari B.   +5 more
europepmc   +1 more source

Multivariate Regression With Dependence Structures: Evaluating Associations Between Plasma Metabolomics and Alcohol Intake in Older Adults. [PDF]

Stat Med
Yang Y, Chen C, Lee H, Wang M, Zhang Y, Chen S.   +5 more
europepmc   +1 more source

"Within-Trial" Prognostic Score Adjustment Is Targeted Maximum Likelihood Estimation. [PDF]

Pharm Stat
Højbjerre-Frandsen E, Schuler A.
europepmc   +1 more source