Locally uniform prior distributions
نویسندگان
چکیده
منابع مشابه
Compatible Prior Distributions
We investigate two approaches to constructing compatible prior laws over alternative models: ‘projection’ and ‘conditioning’. Each of these is shown to require additional inputs. We suggest that these can be chosen in a natural way in each case, leading to ‘Kullback-Leibler projection’ and ‘Jeffreys conditioning’. We recommend the former for the case of coexisting models, and the latter for com...
متن کاملLocally Uniform Comparison Image Descriptor
Keypoint matching between pairs of images using popular descriptors like SIFT or a faster variant called SURF is at the heart of many computer vision algorithms including recognition, mosaicing, and structure from motion. However, SIFT and SURF do not perform well for real-time or mobile applications. As an alternative very fast binary descriptors like BRIEF and related methods use pairwise com...
متن کاملThe Uniform Prior Bayes Estimate
For the Gaussian sequence model Xi = μi + σZi, i = 1, 2, · · · , n, where Zi are iid standard normal, and σ is considered known, we give three equivalent exact formulas for the posterior mean of the mean vector μ = (μ1, · · · , μn) when μ has a uniform prior distribution in an n-dimensional solid ball of a general radius c. The exact formulas have interesting and even curious connections to non...
متن کاملPrior Distributions for ELISA Analyses
Based on the design of the ELISA calibration in the comparability study CCQM-P58, three measured signals are simulated at each of the 11 known concentrations (100, 50, . . . , 0.195, 0) ng/ml. These calibration data are simulated according to Model (1.1) using the parameters β = (1.466, 0.1024, 67.93, 1.361), a = 3.933 × 10, c = 9.710 × 10, and are listed in Table 1. Based on the comparability ...
متن کاملTransformations of Standard Uniform Distributions
We have seen that the R function runif uses a random number generator to simulate a sample from the standard uniform distribution UNIF(0, 1). All of our simulations use standard uniform random variables or are based on transforming such random variables to obtain other distributions of interest. Included in the R language are some functions that implement suitable transformations. For example, ...
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: The Annals of Statistics
سال: 1996
ISSN: 0090-5364
DOI: 10.1214/aos/1033066204