Estimating a density by adapting an initial guess
نویسندگان
چکیده
منابع مشابه
Estimating a density by adapting an initial guess
De Bruin et al. (Comput. Statist. Data Anal. 30 (1999) 19) provide a unique method to estimate the probability density f from a sample, given an initial guess of f. An advantage of their estimate fn is that an approximate standard error can be provided. A disadvantage is that fn is less accurate, on the average, than more usual kernel estimates. The reason is that fn is not su4ciently smooth. A...
متن کاملReduced-Memory Direct Digital Frequency Synthesizer Using Parabolic Initial Guess
Based on the parabolic approximation, which was recently introduced by the authors, a new architecture for sine-output direct digital frequency synthesizers has been developed. Due to using this approximation, and also considering several memory-reduction techniques, the proposed architecture is so designed that needs only 728 bits read-only memory for mapping a 12-bit phase address to 10-bit s...
متن کاملEstimating unbiased phenological trends by adapting site-occupancy models.
As a response to climate warming, many animals and plants have been found to shift phenologies, such as appearance in spring or timing of reproduction. However, traditional measures for shifts in phenology that are based on observational data likely are biased due to a large influence of population size, observational effort, starting date of a survey, or other causes that may affect the probab...
متن کاملFast Registration of 3D Laser Scans without Initial Guess
State of the art graph-based 3D SLAM systems are typically divided into the so-called frontand backend. The frontend’s task is to align laser scans locally, constructing a graph of the measurements in the process. The backend’s task is to optimize this graph in order to find a maximally consistent configuration of the nodes. The well-known ICP algorithm is often used to align pairs of laser sca...
متن کاملFast initial guess estimation for digital image correlation
Digital image correlation (DIC) is a widely used optical metrology for quantitative deformation measurement due to its non-contact, low-cost, highly precise feature. DIC relies on nonlinear optimization algorithm. Thus it is quite important to efficiently obtain a reliable initial guess. The most widely used method for obtaining initial guess is reliability-guided digital image correlation (RG-...
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: Computational Statistics & Data Analysis
سال: 2003
ISSN: 0167-9473
DOI: 10.1016/s0167-9473(02)00124-x