Results 101 to 110 of about 1,569,981 (315)

Asymptotic Couplings by Reflection and Applications for Non-Linear Monotone SPDES [PDF]

open access: yesarXiv, 2014
Asymptotic couplings by reflection are constructed for a class of non-linear monotone SPDES (stochastic partial differential equations). As applications, the gradient/H\"older estimates as well as the exponential convergence are derived for the associated Markov semigroup.
arxiv  

Adjusted quasi-profile likelihoods from estimating functions [PDF]

open access: yes, 2005
Higher-order adjustments for a quasi-profile likelihood for a scalar parameter of interest in the presence of nuisance parameters are discussed. Paralleling likelihood asymptotics, these adjustments aim to alleviate some of the problems inherent to the ...
Bellio, Ruggero   +2 more
core   +1 more source

Agreement of administrative pharmacy dispensing with self‐reported use of oral prednisone in US Veterans with rheumatoid arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims‐based algorithms for glucocorticoid use compared to self‐report in an RA population.
Beth I. Wallace   +16 more
wiley   +1 more source

Strong consistency and optimality for generalized estimating equations with stochastic covariates [PDF]

open access: yesarXiv, 2017
In this article we study the existence and strong consistency of GEE estimators, when the generalized estimating functions are martingales with random coefficients. Furthermore, we characterize estimating functions which are asymptotically optimal.
arxiv  

Nurse Staffing Level and Nosocomial Infections: Empirical Evaluation of the Case-Crossover and Case-Time-Control Designs [PDF]

open access: yes, 2017
The authors compared a case-crossover design, a case-time-control design, and a cohort design to evaluate the effect of nurse staffing level on the risk of nosocomial infections.
Hugonnet, Stéphane   +2 more
core  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Changes and Factors Influencing Health-related Quality of Life After Hysterectomy in Premenopausal Women with Benign Gynecologic Conditions

open access: yesJournal of the Formosan Medical Association, 2006
A hysterectomy affects a woman's health. This study was performed to identify the factors that affect health-related quality of life (HRQoL) before and after hysterectomy in premenopausal women.
Ya-Ling Yang, Yueh-Chih Chen
doaj   +1 more source

On the curvature estimates for Hessian equations [PDF]

open access: yesAmerican Journal of Mathematics, Vol. 141, No. 5, 1281-1315, 2019, 2016
The curvature estimates of $k$ curvature equations for general right hand side is a longstanding problem. In this paper, we totally solve the $n-1$ case and we also discuss some applications for our estimate.
arxiv  

Transfer Learning with General Estimating Equations

open access: yes
We consider statistical inference for parameters defined by general estimating equations under the covariate shift transfer learning. Different from the commonly used density ratio weighting approach, we undertake a set of formulations to make the statistical inference semiparametric efficient with simple inference.
Yan, Han, Chen, Song Xi
openaire   +2 more sources

The New Keynesian Phillips curve : lessons from single-equation econometric estimation [PDF]

open access: yes
We review single-equation methods for estimating the hybrid New Keynesian Phillips curve (NKPC) and then apply those methods to U.S. quarterly data for 1955?2007.
Gregor W. Smith, James M. Nason
core  

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