Results 51 to 60 of about 460,060 (291)
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Journal of Causal Inference, 2019 Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
doaj +1 more source
Statistical Inference for Functional Linear Quantile Regression
, 2022 We propose inferential tools for functional linear quantile regression where the conditional quantile of a scalar response is assumed to be a linear functional of a functional covariate. In contrast to conventional approaches, we employ kernel convolution to smooth the original loss function.
Sang, Peijun, Shang, Zuofeng, Du, Pang
openaire +2 more sources
Gaussian process single-index models as emulators for computer experiments
, 2011 A single-index model (SIM) provides for parsimonious multi-dimensional nonlinear regression by combining parametric (linear) projection with univariate nonparametric (non-linear) regression models.
Gramacy, Robert B., Lian, Heng
core +1 more source
FEBS Open Bio, EarlyView.Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin +3 more
wiley +1 more source
European Mechanical Science, 2017 In this study, emissions of compression ignition engine fueled by diesel fuel with nanoparticleadditives was modeled by regression analysis, artificial neural network (ANN) and adaptiveneuro fuzzy inference system (ANFIS) methods.
Erdi Tosun +5 more
doaj +1 more source
Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]
, 2007 We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
core +1 more source
Geometric Inference for General High-Dimensional Linear Inverse Problems
, 2015 This paper presents a unified geometric framework for the statistical analysis of a general ill-posed linear inverse model which includes as special cases noisy compressed sensing, sign vector recovery, trace regression, orthogonal matrix estimation, and
Cai, T. Tony +2 more
core +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer
IEEE Access, 2023 Uncertainty quantification is an important task in machine learning - a task in which standard neural networks (NNs) have traditionally not excelled. This can be a limitation for safety-critical applications, where uncertainty-aware methods like Gaussian
Felix Fiedler, Sergio Lucia
doaj +1 more source