Results 201 to 210 of about 26,998 (224)

Inference of a continuous auto-regressive model for the forecasting of nonstationary stochastic processes deriving from energy demand in electrical networks

Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96), 2002
This paper discusses the application of Hilbertian auto regressive models to medium term forecasting of electric energy demand, that is, one week-ahead prediction. These models are aimed at predicting whole future trajectories of continuous stochastic processes and can be useful in order to forecast not only the aggregate figures of energy demand (e.g.,
Cavallini A., Mazzanti G., Montanari G. C.   +2 more
openaire   +2 more sources

Stochastic models for semantic parsing, multi-faceted topic discovery, and causal event inference: Perspectives from natural language processing

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
In this talk I will address three important problems in Natural Language Processing with direct relevance to Image Understanding: Semantic Parsing, Multi-Faceted Topic Discovery, and Causal Event Inference.
openaire   +1 more source

Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes

Journal of Computational Physics, 2022
Matthew Simpson, Ruth Baker, David Warne   +2 more
exaly  

Inference of dominant modes for linear stochastic processes

Royal Society Open Science, 2021
Robert Mackay
exaly  

Semiparametric and Nonparametric Inference from Irregular Observations on Continuous Time Stochastic Processes

1991
J. M. Stoyanov, P. M. Robinson
openaire   +1 more source

Statistical Inference from Stochastic Processes

1988
openaire   +1 more source

Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds

Entropy, 2022
Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh   +2 more
exaly  

Interacting reinforced stochastic processes: Statistical inference based on the weighted empirical means

Bernoulli, 2020
Giacomo Aletti, Irène Crimaldi, Andrea Ghiglietti   +2 more
exaly  

Innovation Representation of Stochastic Processes With Application to Causal Inference

IEEE Transactions on Information Theory, 2020
Meir Feder, Saharon Rosset, Amichai Painsky   +2 more
exaly  

Stochastic Processes - Inference Theory

Springer Monographs in Mathematics, 2014
Malempati M Rao
exaly