Results 61 to 70 of about 4,500 (154)
An algorithm for locally adaptive bivariate penalized splines
This paper introduces a penalized spline model for bivariate smoothing that locally adjusts to gridded data set affected by noise varying across different areas of the domain. As for all penalized spline methods, the approach requires the definition of suitable penalty terms and the selection of the regularization parameters.
Calabrese, Paola Erminia +2 more
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Penalized spline estimation in the partially linear model
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bootstrapping for penalized spline regression
We describe and contrast several different bootstrapping procedures for penalized spline smoothers. The bootstrapping procedures considered are variations on existing methods, developed under two different probabilistic frameworks. Under the first framework, penalized spline regression is considered an estimation technique to find an unknown smooth ...
Claeskens, Gerda +2 more
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Modifiable dementia risk factors and AT(N) biomarkers: findings from the EPAD cohort
IntroductionModifiable risk factors account for a substantial proportion of Alzheimer’s disease (AD) cases and we currently have a discrete AT(N) biomarker profile for AD biomarkers: amyloid (A), p-tau (T), and neurodegeneration (N).
Eddy Roccati +11 more
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INTRODUCTION: Mid-upper arm circumference (MUAC) has commonly been used for many years as an alternative nutritional status index in field settings, yet estimates of percentile range for healthy children and adolescents have not been documented in ...
M. Nwankwo +3 more
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ESTIMASI PARAMETER REGRESI SPLINE DENGAN METODE PENALIZED SPLINE
Regresi spline merupakan suatu pendekatan ke arah pencocokan data dengan tetap memperhitungkan kemulusan kurva. Salah satu bentuk estimator dari regresi spline ialah penalized spline. Tujuan dari penelitian ini adalah untuk mengestimasi parameter regresi spline dengan metode penalized spline untuk data yang tidak memiliki pola tertentu. Data penelitian
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Penalized B-splines, or P-splines, are a semiparametric method that can be used to estimate models with one or two variables and have become quite popular since they first appeared. In this dissertation, two interesting problems are investigated in the areas of crop insurance and observational studies with complex surveys using univariate and bivariate
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Background The triglyceride glucose (TyG) index is a cutting-edge and highly effective marker of insulin resistance, a crucial factor in the development and exacerbation of diabetic kidney disease (DKD).
Han Zhang +6 more
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This study examines whether exposure to ambient temperature in nineteenth-century urban space affected the ratio of boys to girls at birth. Furthermore, we investigate the details of temperature effects timing upon sex ratio at birth.
Grażyna Liczbińska +3 more
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Estimating and Interpreting Effects from Nonlinear Exposure-Response Curves in Occupational Cohorts Using Truncated Power Basis Expansions and Penalized Splines. [PDF]
Malloy EJ, Kapellusch JM, Garg A.
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