Smoother tumor targets
نویسندگان
چکیده
منابع مشابه
DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES Determining Capital: Messy Targets and Smoother Dividends
How much capital do financial institutions require? Regulators have used simple rules of thumb for many years, but are now moving towards the use of set probabilities of insolvency. One strand of economic theory would target capital at a level that minimises frictional costs. An actuarial approach is to attempt to maximise the value of dividends. Management practice is also influenced by invest...
متن کاملFriedman’s Super Smoother
Friedman’s super smoother is a nonparametric regression estimator based on local linear regression with adaptive bandwidths (Friedman [1984]). The basic idea is to first estimate a number of fixed bandwidth smooths by local linear regression. The leave-one-out cross-validated residuals from each of those initial estimates are then smoothed using a constant bandwidth. Based on the smoothed resid...
متن کاملImproved Kalman Smoother technique
An improved Kalman Smoother for atmospheric inversions L. M. P. Bruhwiler, A. M. Michalak, W. Peters, D. F. Baker, and P. Tans NOAA Climate Monitoring and Diagnostics Laboratory, Boulder, Colorado, USA Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, ...
متن کاملThe Variational Kalman Smoother
Abstract In this note we outline the derivation of the variational Kalman smoother, in the context of Bayesian Linear Dynamical Systems. The smoother is an efficient algorithm for the E-step in the ExpectationMaximisation (EM) algorithm for linear-Gaussian state-space models. However, inference approximations are required if we hold distributions over parameters. We derive the E-step updates fo...
متن کاملA distributed Kalman smoother
Kalman smoothers obtain state estimates in a system with stochastic dynamics and measurement noise. We consider the smoothing problem in a distributed setting, present a cooperative smoothing algorithm for Gauss-Markov linear models, and provide a convergence analysis for the algorithm. An extension of the algorithm that maximizes the likelihood with respect to a sequence of state vectors subje...
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: Science-Business eXchange
سال: 2011
ISSN: 1945-3477
DOI: 10.1038/scibx.2011.730