Keyword: Bayesian forecasting

Found 16 papers in total
Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation
Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation
2013,
We modify the model of Bayesian Probabilistic Matrix Factorization. We fuse social...
Combining expert forecasts: Can anything beat the simple average?
Combining expert forecasts: Can anything beat the simple average?
2013,
This paper explores the gains from combining expert forecasts from the ECB Survey of...
A Bayesian model for sales forecasting at Sun Microsystems
A Bayesian model for sales forecasting at Sun Microsystems
2010,
An accurate short-term forecast of product sales is vital for the smooth operation of...
Bayesian forecasting with the Holt–Winters model
Bayesian forecasting with the Holt–Winters model
2010,
Exponential smoothing methods are widely used as forecasting techniques in inventory...
A new Bayesian formulation for Holt's exponential smoothing
A new Bayesian formulation for Holt's exponential smoothing
2009,
In this paper we propose a Bayesian forecasting approach for Holt's additive...
Bayesian inferences for several autoregressive processes
Bayesian inferences for several autoregressive processes
1998,
Several first-order autoregressive processes are studied using Bayesian analysis...
A Bayesian analysis of periodic integration
A Bayesian analysis of periodic integration
1997,
Recent empirical research into the seasonal and trend properties of macro-economic...
Bayesian analysis of vector ARMA models using Gibbs sampling
Bayesian analysis of vector ARMA models using Gibbs sampling
1997,
We present a methodology for estimation, prediction, and model assessment of vector...
dHugin: A computational system for dynamic time-sliced Bayesian networks
dHugin: A computational system for dynamic time-sliced Bayesian networks
1995,
A computational system for reasoning about dynamic time-sliced systems using Bayesian...
A Bayesian method for analyzing dependencies in precursor data
A Bayesian method for analyzing dependencies in precursor data
1995,
Past Bayesian methods for analyzing accident precursor data have rested on...
A Bayesian decision approach to model monitoring and cusums
A Bayesian decision approach to model monitoring and cusums
1994,
Cumulative Sum techniques are widely used in quality control and model monitoring. A...
A Bayesian approach to modelling stochastic cycles
A Bayesian approach to modelling stochastic cycles
1993,
This article deals with a fully Bayesian approach to describe the cyclical behaviour...
Constrained forecasting in autoregressive time series models: A Bayesian analysis
Constrained forecasting in autoregressive time series models: A Bayesian analysis
1993,
A bayesian approach is used to derive constrained and unconstrained forecasts in an...
Hierarchical Bayes forecasts of multinomial Dirichlet data applied to coupon redemptions
Hierarchical Bayes forecasts of multinomial Dirichlet data applied to coupon redemptions
1992,
This paper considers forecasting count data from a multinomial Dirichlet distribution....
To combine or not to combine? Issues of combining forecasts
To combine or not to combine? Issues of combining forecasts
1992,
This paper addresses issues such as: Does it always pay to combine individual...
Scoring the composite leading indicators: A Bayesian turning points approach
Scoring the composite leading indicators: A Bayesian turning points approach
1992,
This paper explores a Bayesian decision-theoretic approach for analysis and...
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