A short introduction to information theory and Bayesian Model Averaging
نویسنده
چکیده
1.2. Optimal code length for a known source. In the case when PXn (the distribution of X n = (X1, . . . , Xn)) is known and c is arbitrary, minimizing the code length is achieved by sorting A in order of decreasing probabilities. More precisely, let us write A = {bi, i = 1, . . . , d}, where d = |A| is the size of the alphabet and where the blocks of n letters are indexed by order of decreasing probabilities:
منابع مشابه
Predicting waste generation using Bayesian model averaging
A prognosis model has been developed for solid waste generation from households in Hoi An City, a famous tourist city in Viet Nam. Waste sampling, followed by a questionnaire survey, was carried out to gather data. The Bayesian model average method was used to identify factors significantly associated with waste generation. Multivariate linear regression analysis was then applied to evaluate th...
متن کاملModeling Factors Affecting Tax Evasion in Iran's Economy Based on the Bayesian averaging approach
This study seeks to model tax evasion and identify how effective factors affect tax evasion in the Iranian economy. Recent models show the failure of traditional models; Models do not have enough ability to model hidden variables such as tax evasion. The present study considers this failure in identifying explanatory variables and experimental model design. To achieve this, the Bayesian averagi...
متن کاملbelief function and the transferable belief model
Beliefs are the result of uncertainty. Sometimes uncertainty is because of a random process and sometimes the result of lack of information. In the past, the only solution in situations of uncertainty has been the probability theory. But the past few decades, various theories of other variables and systems are put forward for the systems with no adequate and accurate information. One of these a...
متن کاملJoint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis
Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...
متن کاملFactors Affecting Energy Intensity in Provinces of Iran: Bayesian Averaging Approach
The identification of the most important factors affecting energy intensity with the aim of controlling and managing energy consumption is an important topic. Findings of different empirical studies on the factors affecting energy intensity are inconsistent and this raises uncertainty about the employed models. One of the techniques that conform to these uncertainty conditions of the model is t...
متن کامل