Local signal detection on irregular domains with generalized varying coefficient models. [PDF]
J Am Stat AssocZhang C, Xue L, Chen Y, Lian H, Qu A.
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The use of spline, Bayesian spline and penalized Bayesian spline regression for modeling
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Association Between Serum Phosphorus and 28-Day Mortality in Patients with Bloodstream Infection: Potential Prognostic Implication Beyond Renal Function and Clinical Severity. [PDF]
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Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]
J Time Ser AnalGu Z, Li X, Wang G, Wang L.
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Flexible Distributed Lag Models for Count Data Using mgcv. [PDF]
Am StatEconomou T +8 more
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Comparison of cNORM and LMS methods for estimating reference percentile curves from biometric data. [PDF]
Sci RepLaurenz R, Lenhard W.
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TREM-1-Associated Neutrophil Extracellular Trap Formation is Linked to IVIG Resistance in Kawasaki Disease: A Convergent Transcriptomic and Prospective Validation Study. [PDF]
J Clin ImmunolWang S, Luo G, Ji Z, Pan S.
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Triglyceride-glucose body mass index and metabolic dysfunction-associated steatotic liver disease in hospitalized patients with type 2 diabetes: a sex-stratified cross-sectional study. [PDF]
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Penalized hyperbolic-polynomial splines [PDF]
Applied Mathematics Letters, 2021 Splines and spline approximations using penality functions are especially useful tools in univariate approximation theory when univariate data are to be approximated, and when no interpolation property is needed. The methods using piecewise polynomial splines and penalty methods can be formulated via square (or otherwise, other \(L^p\)-norms are ...
Costanza Conti, Rosanna Campagna
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