O. Beyca

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Management Science and Operations Research — 10 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom O. Beyca trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert F. Engle
2. Tim Bollerslev
3. Lijuan Cao
4. Floris Takens
5. William Stafford Noble
6. G. Zhang

Papers from O. Beyca's perspective

Ordered by how strongly the researchers O. Beyca trusts endorse each paper. Same corpus, a different order for every researcher.

1. A tutorial on hidden Markov models and selected applications in speech recognition
2. Generalized autoregressive conditional heteroskedasticity
3. Variational inference for Dirichlet process mixtures
4. A tutorial on support vector regression
5. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
6. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
7. GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
8. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
9. Mixture Kalman filters
10. A Tutorial on Bayesian Nonparametric Models

Their papers

• Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015) — 255 citations