
arXiv: 1506.07186
Intrinsic random functions (IRF) provide a versatile approach when the assumption of second-order stationarity is not met. Here, we develop the IRF theory on the circle with its universal kriging application. Unlike IRF in Euclidean spaces, where differential operations are used to achieve stationarity, our result shows that low-frequency truncation of the Fourier series representation of the IRF is required for such processes on the circle. All of these features and developments are presented through the theory of reproducing kernel Hilbert space. In addition, the connection between kriging and splines is also established, demonstrating their equivalence on the circle.
14 pages, initial version
Methodology (stat.ME), FOS: Computer and information sciences, stationarity, Brownian bridge, General theory of stochastic processes, spline, Applications of functional analysis in probability theory and statistics, reproducing kernel Hilbert space, Statistics - Methodology
Methodology (stat.ME), FOS: Computer and information sciences, stationarity, Brownian bridge, General theory of stochastic processes, spline, Applications of functional analysis in probability theory and statistics, reproducing kernel Hilbert space, Statistics - Methodology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
