Population and Stand-Level Inference in Forest Inventory with Penalized Splines
نویسندگان
چکیده
منابع مشابه
Constrained Penalized Splines
The penalized spline is a popular method for function estimation when the assumption of “smoothness” is valid. In this paper, methods for estimation and inference are proposed using penalized splines under the additional constraints of shape, such as monotonicity or convexity. The constrained penalized spline estimator is shown to have the same convergence rates as the corresponding unconstrain...
متن کاملFast Adaptive Penalized Splines
This paper proposes a numerically simple routine for locally adaptive smoothing. The locally heterogeneous regression function is modelled as a penalized spline with a smoothly varying smoothing parameter modelled as another penalized spline. This is being formulated as hierarchical mixed model, with spline coefficients following a normal distribution, which by itself has a smooth structure ove...
متن کاملFiltering Time Series with Penalized Splines
The decomposition and filtering of time series is an important issue in economics and econometrics and related fields. Even though there are numerous competing methods on the market, in application one often meets one of the few favorites. The first method to mention in this selection is the so called Hodrick & Prescott (1997)-filter (HP-filter hereafter). The idea is to decompose a time series...
متن کاملOn Semiparametric Regression with O'sullivan Penalized Splines
An exposition on the use of O’Sullivan penalized splines in contemporary semiparametric regression, including mixed model and Bayesian formulations, is presented. O’Sullivan penalized splines are similar to P-splines, but have the advantage of being a direct generalization of smoothing splines. Exact expressions for the O’Sullivan penalty matrix are obtained. Comparisons between the two types o...
متن کاملBivariate Penalized Splines for Regression
In this paper the asymptotic behavior of penalized spline estimators is studied using bivariate splines over triangulations and an energy functional as the penalty. The rate of L2 convergence is derived, which achieves the optimal nonparametric convergence rate established by Stone (1982). The asymptotic normality of the penalized spline estimators is established, which is shown to hold uniform...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Forest Science
سال: 2020
ISSN: 0015-749X,1938-3738
DOI: 10.1093/forsci/fxaa008