Pemodelan Kejahatan di Indonesia dengan Metode Regresi Nonparametrik Spline Truncated
Atma Aurelia Caroline Cindy, Madu Ratna
openaire +2 more sources
Bivariate hierarchical Hermite spline quasi--interpolation
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
core +1 more source
Monotonic regression based on Bayesian P-splines: an application to estimating price response functions from store-level scanner data [PDF]
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
Pemilihan Titik Knot Optimal Menggunakan Metode GCV Dalam Regresi Nonparametrik Spline Truncated
Penelitian ini bertujuan untuk mengkaji metode GCV dalam pemilihan titik knot optimal pada regresi nonparametrik spline truncated yang disimulasikan pada data Indeks Pembangunan Manusia (IPM) di Jawa Tengah serta untuk mengetahui faktor apa saja yang ...
Fitri Kusunartutik, N. Dwidayati
semanticscholar +1 more source
METODE KUADRAT TERKECIL UNTUK ESTIMASI KURVA REGRESI SEMIPARAMETRIK SPLINE [PDF]
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
core
Spline-based self-controlled case series method [PDF]
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
core +1 more source
Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort
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
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
doaj +1 more source
Adaptive scattered data fitting by extension of local approximations to hierarchical splines
We introduce an adaptive scattered data fitting scheme as extension of local least squares approximations to hierarchical spline spaces. To efficiently deal with non-trivial data configurations, the local solutions are described in terms of (variable ...
Bracco, Cesare +2 more
core +1 more source
A fractional B-spline collocation method for the numerical solution of fractional predator-prey models [PDF]
We present a collocation method based on fractional B-splines for the solution of fractional differential problems. The key-idea is to use the space generated by the fractional B-splines, i.e., piecewise polynomials of noninteger degree, as approximating
Pitolli, Francesca
core +1 more source

