Estimating Simultaneous Equation Models through an Entropy-Based Incremental Variational Bayes Learning Algorithm

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

Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs

Statistical abduction is an attempt to define a probability distribution over explanations derived by abduction and to evaluate them using their probabilities. In statistical abduction, deterministic knowledge like rules and facts are described as logic formulas. However nondeterministic knowledge like preference and frequency seems difficult to represent as logic. Bayesian inference can reflec...

متن کامل

Variational Bayes for Generic Topic Models

The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichlet allocation. For an abstraction of these models as systems of interconnected mixtures, variational update equations are obtained, leading to inference algorithms for models that so far have used Gibbs sampling exclusively.

متن کامل

Video Segmentation via Variational Bayes Mixture Models

Video modeling is of interest for many applications, including video indexing, video data compression, object detection, unusual-event detection and object recognition. Many approaches employ local (pixelbased) models. In Stauffer and Grimson’s work on background modeling [14], the intensity or color of each pixel is modeled as a mixture of Gaussians, where each mixing component represents one ...

متن کامل

Bayes-Optimal Entropy Pursuit for Active Choice-Based Preference Learning

We analyze the problem of learning a single user’s preferences in an active learning setting, sequentially and adaptively querying the user over a finite time horizon. Learning is conducted via choice-based queries, where the user selects her preferred option among a small subset of offered alternatives. These queries have been shown to be a robust and efficient way to learn an individual’s pre...

متن کامل

Variational Bayes for generalized autoregressive models

We describe a variational Bayes (VB) learning algorithm for generalized autoregressive (GAR) models. The noise is modeled as a mixture of Gaussians rather than the usual single Gaussian. This allows different data points to be associated with different noise levels and effectively provides robust estimation of AR coefficients. The VB framework is used to prevent overfitting and provides model-o...

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: Entropy

سال: 2021

ISSN: 1099-4300

DOI: 10.3390/e23040384