On probability intervals

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Simulation-efficient shortest probability intervals

Bayesian highest posterior density (HPD) intervals can be estimated directly from simultions via empirical shortest intervals. Unfortunately, these can be noisy (that is, have a high Monte Carlo error). In this paper, we propose an optimal weighting strategy using quadratic programming to obtain a more computationally stable HPD, or in general, shortest probability interval (Spin). We prove the...

متن کامل

On computing marginal probability intervals in inference networks

* This research was sponsored in part by the Office of Naval Research under grant no. N00014-03-1-0033. ‡ 0-7803-7952—7/03/$17.00 © 2003 IEEE Abstract – Existing methods of parameter and structure learning of probabilistic inference networks assume that the database is complete. If there are missing values, these values are assumed to be missing at random. This paper incorporates the concepts u...

متن کامل

Uncertainty measures on probability intervals from the imprecise Dirichlet model

When we use a mathematical model to represent information, we can obtain a closed and convex set of probability distributions, also called a credal set. This type of representation involves two types of uncertainty called conflict (or randomness) and non-specificity, respectively. The imprecise Dirichlet model (IDM) allows us to carry out inference about the probability distribution of a catego...

متن کامل

Transforming Probability Intervals into Other Uncertainty Models

Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are confidence intervals on parameters of multinomial distributions built from sample data and expert opinions provided in terms of such intervals. In this paper, we study how probability intervals can be transformed into ot...

متن کامل

Choosing a Coverage Probability for Prediction Intervals

Coverage probabilities for prediction intervals are germane to filtering, forecasting, previsions, regression, and time series analysis. It is a common practice to choose the coverage probabilities for such intervals by convention or by astute judgment. We argue here that coverage probabilities can be chosen by decision theoretic considerations. But to do so, we need to specify meaningful utili...

متن کامل

ذخیره 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: International Journal of Approximate Reasoning

سال: 1988

ISSN: 0888-613X

DOI: 10.1016/0888-613x(88)90117-x