Results 11 to 20 of about 32,647 (196)
Fast Covariance Estimation for High-dimensional Functional Data [PDF]
, 2013 For smoothing covariance functions, we propose two fast algorithms that scale linearly with the number of observations per function. Most available methods and software cannot smooth covariance matrices of dimension $J \times J$ with $J>500$; the ...
Crainiceanu, Ciprian +3 more
core +3 more sources
Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods [PDF]
, 2019 We propose to combine smoothing, simulations and sieve approximations to solve for either the integrated or expected value function in a general class of dynamic discrete choice (DDC) models.
Kristensen, Dennis +3 more
core +2 more sources
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines [PDF]
, 2010 In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in the context of image warping to compute smooth diffeomorphisms.
de Boor C. +3 more
core +4 more sources
Fast stable direct fitting and smoothness selection for Generalized Additive Models [PDF]
, 2007 Existing computationally efficient methods for penalized likelihood GAM fitting employ iterative smoothness selection on working linear models (or working mixed models).
Akaike H. +25 more
core +3 more sources
Cutting-Edge Computational Approaches for Approximating Nonlocal Variable-Order Operators
ComputationThis study presents an algorithmically efficient approach to address the complexities associated with nonlocal variable-order operators characterized by diverse definitions.
Nayereh Tanha +2 more
doaj +1 more source
Bayesian Numerical Homogenization [PDF]
, 2014 Numerical homogenization, i.e. the finite-dimensional approximation of solution spaces of PDEs with arbitrary rough coefficients, requires the identification of accurate basis elements.
Owhadi, Houman
core +3 more sources
Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
, 2017 Numerical simulation of complex optical structures enables their optimization with respect to specific objectives. Often, optimization is done by multiple successive parameter scans, which are time consuming and computationally expensive.
Burger, S. +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source