SMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACH
Article Properties
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DOI (url)
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Publication Date2013/03/01
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Indian UGC (journal)
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Citations4
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Diana
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator | Journal of King Saud University - Science |
| 1 | 2023 |
Consistency and Asymptotic Normality of Estimator for Parameters in Multiresponse Multipredictor Semiparametric Regression Model | Symmetry |
| 2 | 2022 |
| Smoothing spline in multivariable semiparametric regression through fully bayesian approach | Model Assisted Statistics and Applications | 2018 | ||
| Bayesian mixture model averaging for identifying the different gene expressions of chickpea (Cicer arietinum) plant tissue | Communications in Statistics - Theory and Methods |
| 2 | 2017 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Science (General) | 2 |
| Science: Mathematics | 2 |
| Science: Mathematics: Probabilities. Mathematical statistics | 1 |
The category
Science: Science (General) 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bayesian mixture model averaging for identifying the different gene expressions of chickpea (Cicer arietinum) plant tissue and was published in 2017. The most recent citation comes from a 2023 study titled Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator. This article reached its peak citation in 2023, with 1 citations. It has been cited in 4 different journals, 50% of which are open access. Among related journals, the Journal of King Saud University - Science cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.