All Sampling Methods Produce Outliers
نویسنده
چکیده
Given a computable probability measure P over natural numbers or infinite binary sequences, there is no method that can produce an arbitrarily large sample such that all its members are typical of P . This paper also contains upper bounds on the minimal encoding length of a predicate (over the set of natural numbers) consistent with another predicate over a finite domain.
منابع مشابه
Bayesian identification of clustered outliers in multiple regression
We propose a Bayesian model for clustered outliers in multiple regression. In the literature, outliers are frequently modeled as coming from a subgroup where the variance of the errors is much larger than in the rest of the data. By contrast, when a cluster of outliers exists, we show that it can be more informative to model them as coming from a subgroup where different regression coefficients...
متن کاملDensity-based Outlier Rejection in Monte Carlo Rendering
The problem of noise in Monte-Carlo rendering arising from estimator variance is well-known and well-studied. In this work, we concentrate on identifying individual light paths as outliers that lead to significant spikes of noise and represent a challenge for existing filtering methods. Most noise-reduction methods, such as importance sampling and stratification, attempt to generate samples tha...
متن کاملروشهای تعیین دادههای پرت در مطالعات پزشکی
Background: An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Outliers sometimes deal with to abnormality in obtained results from collected data and information. known outlier data by researchers, physicians and other persons that work in medical fields and sciences is important and they must control data before getting result a...
متن کاملOutlier-Tolerant Fitting and Online Diagnosis of Outliers in Dynamic Process Sampling Data Series
Outliers as well as outlier patches, which widely emerge in dynamic process sampling data series, have strong bad influence on signal processing. In this paper, a series of recursive outlier-tolerant fitting algorithms are built to fit reliably the trajectories of a non-stationary sampling process when there are some outliers arising from output components of the process. Based on the recursive...
متن کاملA random effects variance shift model for detecting and accommodating outliers in meta-analysis
BACKGROUND Meta-analysis typically involves combining the estimates from independent studies in order to estimate a parameter of interest across a population of studies. However, outliers often occur even under the random effects model. The presence of such outliers could substantially alter the conclusions in a meta-analysis. This paper proposes a methodology for identifying and, if desired, d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1304.3872 شماره
صفحات -
تاریخ انتشار 2013