Skip to search formSkip to main contentSkip to account menu

Bayesian programming

Bayesian programming is a formalism and a methodology to specify probabilistic models and solve problems when less than the necessary information is… 
Wikipedia (opens in a new tab)

Related topics

Related topics

27 relations
Abductive logic programmingBaum–Welch algorithmBayesian networkBelief propagation

Broader (1)

Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Bayesian Optimisation (BO) is a technique used in optimising a $D$-dimensional function which is typically expensive to evaluate… 
Highly Cited
2008
Highly Cited
2008
Bayesian Computation with R
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due… 
Highly Cited
2004
Highly Cited
2004
Bayesian Forecasting
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit… 
Highly Cited
2004
Highly Cited
2004
Naive Bayesian Classification of Structured Data
In this paper we present 1BC and 1BC2, two systems that perform naive Bayesian classification of structured individuals. The… 
Highly Cited
2003
Highly Cited
2003
Inferring 3D structure with a statistical image-based shape model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape… 
Highly Cited
2001
Highly Cited
2001
Benchmark Priors for Bayesian Model Averaging
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities in the context of model… 
Highly Cited
2001
Highly Cited
2001
Bayesian quantile regression
Highly Cited
2001
Highly Cited
2001
Input Distribution Selection for Simulation Experiments: Accounting for Input Uncertainty
A number of authors have identified problematic issues with techniques used in current simulation practice for selecting… 
Highly Cited
1992
Highly Cited
1992
Dominant Strategy Implementation of Bayesian incentive Compatible Allocation Rules
Highly Cited
1981
Highly Cited
1981
Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment
This paper develops a model and an associated estimation procedure to forecast and control the rate of sales for a new product. A… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)