Adaptive control has been developed for decades, and now it has become a rigorous and mature discipline which mainly focuses on dealing parametric uncertainties in control systems, especially linear parametric systems. Nonparametric uncertainties were seldom studied or addressed in the literature of adaptive control until new areas on exploring limitations and capability of feedback control eme...

We study dark energy through the viewpoints of parametric and nonparametric analyses late-time cosmological data. consider four Hubble parameter priors reflecting tension make use two phenomenological functions, namely, a normalized density compactified equation state. predict shape both functions present new constraints on The results hint at evolution regardless choice method priors. fact tha...

Most research on system identification is focused on the identification of parametric models, for example a transfer function or a state space model where the information is condensed in a few parameters. In the daily practice, nonparametric methods, like frequency response function measurements, are intensively used. Recently, it was indicated that nonparametric identification methods could be...

We develop a set of nonparametric rank tests for non-stationary panels based on multivariate variance ratios which use untruncated kernels. As such, the tests do not require the choice of tuning parameters associated with bandwidth or lag length and also do not require choices with respect to numbers of common factors. The tests allow for unrestricted cross-sectional dependence and dynamic hete...

We consider three general classes of data-driven statistical tests. Neyman’s smooth tests, data-driven score tests and data-driven score tests for statistical inverse problems serve as important special examples for the classes of tests under consideration. Our tests are additionally incorporated with model selection rules. The rules are based on the penalization idea. Most of the optimal penal...

evaluation of river discharges trends is very important for water resources management and design of irrigation and drainage networks. in this research, annual, seasonal and monthly trends of maroon river discharge were evaluated using the mann-kendall and sen’s slope estimator non-parametric tests and the regression analysis parametric test. for this purpose, river discharge data from five h...

A new joint parametric and nonparametric curve evolution algorithm is proposed for medical image segmentation. In this algorithm, both the nonlinear space of level set function (nonparametric model) and the linear subspace of level set function spanned by the principle components (parametric model) are employed in the evolution procedure. The nonparametric curve evolution can drive the curve pr...