Results 41 to 50 of about 28,804 (260)
Smoothing with Curvature Constraints based on Boosting Techniques [PDF]
, 2006 In many applications it is known that the underlying smooth function is constrained to have a specific form. In the present paper, we propose an estimation method based on the regression spline approach, which allows to include concavity or convexity ...
Leitenstorfer, Florian, Tutz, Gerhard
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Barekeng, 2023 The nonparametric regression approach is used when the shape of the regression curve is not known. The advantage of nonparametric regression is that it has a high degree of flexibility.
Sitti Anggraeni +2 more
doaj +1 more source
Generalized structured additive regression based on Bayesian P-splines [PDF]
, 2003 Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM's and extensions to generalized structured additive regression ...
Brezger, Andreas, Lang, S.
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MODELING DHF IN CENTRAL JAVA USING HYBRID NONPARAMETRIC SPLINE TRUNCATED-FOURIER SERIES APPROACH
BarekengRegression analysis aims to determine the relationship and influence of predictor variables on response variables through regression curve. The problem with nonparametric regression research so far is that it only uses one approach, causing the ...
Tiani Wahyu Utami +2 more
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Bivariate hierarchical Hermite spline quasi--interpolation
, 2016 Spline quasi-interpolation (QI) is a general and powerful approach for the construction of low cost and accurate approximations of a given function. In order to provide an efficient adaptive approximation scheme in the bivariate setting, we consider ...
Bracco, Cesare +3 more
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Monotonic regression based on Bayesian P-splines: an application to estimating price response functions from store-level scanner data [PDF]
, 2003 Generalized additive models have become a widely used instrument for flexible regression analysis. In many practical situations, however, it is desirable to restrict the flexibility of nonparametric estimation in order to accommodate a presumed monotonic
Brezger, Andreas, Steiner, Winfried J.
core +2 more sources
METODE KUADRAT TERKECIL UNTUK ESTIMASI KURVA REGRESI SEMIPARAMETRIK SPLINE [PDF]
, 2009 Pada regresi semiparametrik, untuk memperoleh estimator spline padadasarnya terdapat dua pendekatan optimasi, yaitu estimator spline yang diperoleh berdasarkan optimasi penalized least square (PLS) dan estimator spline yang diperoleh berdasarkan optimasi
I Nyoman, Budiantara +2 more
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Spline-based self-controlled case series method [PDF]
, 2017 The self-controlled case series (SCCS) method is an alternative to study designs such as cohort and case control methods and is used to investigate potential associations between the timing of vaccine or other drug exposures and adverse events.
de Boor +15 more
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Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen +11 more
wiley +1 more source
Further Properties of Quantum Spline Spaces
Mathematics, 2020 We construct q-B-splines using a new form of truncated power functions. We give basic properties to show that q-B-splines form a basis for quantum spline spaces.
Gülter Budakçı, Halil Oruç
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