Results 111 to 120 of about 27,189 (192)

Iterative regularization in nonparametric instrumental regression [PDF]

We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
VANHEMS, Anne, VAN BELLEGEM, Sébastien, JOHANNES, Jan   +2 more
core  

Maximin and Bayesian optimal designs for regression models [PDF]

For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain nuisance parameters which are unknown and which enter the model nonlinearly.
Dette, Holger, Imhof, Lorens A., Haines, Linda M.   +2 more
core  

Finite Element Analysys of the Deformation at Convex-Arc with Single-Point Mesh of Model 91 Gear with Double-Circular-Arc Tooth Profile

Jixie chuandong, 1996
This paper discueses the finite element method of calculating deformation at convex-arc with single-point mesh of model gi gear with double-circulararc tooth profile and presents that the factors effecting the deformation is module,helix angle and ...
綦耀光, 陈如恒, 丁全祥, 阎生群   +3 more
doaj  

Robust Learning from Bites [PDF]

Many robust statistical procedures have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets. Secondly, robust confidence intervals for the estimated parameters or robust predictions according to the
Christmann, Andreas
core  

The geometry of G × E: How scaling and endogenous treatment effects shape interaction direction. [PDF]

PLoS Genet
Sadowski M, Dahl AW, Zaitlen N, Border R.   +3 more
europepmc   +1 more source

CT-Derived Paraspinal Muscle Asymmetry Is Associated with Deformity Severity in Adolescent Idiopathic Scoliosis: A Quantitative CT Study. [PDF]

J Clin Med
Zhao C, Zhu Z, Liu H, Xu S.
europepmc   +1 more source

A geometric characterization of c-optimal designs for heteroscedastic regression [PDF]

We consider the common nonlinear regression model where the variance as well as the mean is a parametric function of the explanatory variables. The c-optimal design problem is investigated in the case when the parameters of both the mean and the variance
Dette, Holger, Holland-Letz, Tim
core  

Apical Vertebral Translation as a Coronal Risk Factor for Side-Specific Hip Osteoarthritis in Adult Degenerative Scoliosis. [PDF]

Global Spine J
Xu Z, Ma X, Chen X, Zhang S, Xiao B, Zhang Y.   +5 more
europepmc   +1 more source

Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis. [PDF]

Stat Med
Pietrosanu M, Yu D, Mizera I, Jiang B, Kong L.   +4 more
europepmc   +1 more source

Convex Quantile Regression For Traffic Congestion Modelling

, 2019
Precise and reliable prediction of highway traffic and performance becomes ever more important as the global car fleet continues to grow. Although traffic big data is more abundant than ever, traffic management is struggling to keep up with the immense ...
Ylimartimo, Juho
core