137 results on '"Baragona, Roberto"'
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2. A simple portmanteau test with data-driven truncation point
3. Data-driven portmanteau tests for time series
4. Periodic Autoregressive Models for Stochastic Seasonality
5. ARMA model checking with data-driven portmanteau tests
6. Outliers in dynamic factor models
7. Outliers in Time Series: An Empirical Likelihood Approach
8. Empirical likelihood for outlier detection in regression models
9. A simple portmanteau test with data-driven truncation point
10. Cluster Analysis
11. Outliers
12. Time Series Linear and Nonlinear Models
13. Design of Experiments
14. Evolving Regression Models
15. Introduction
16. Evolutionary Computation
17. Maximum Empirical Likelihood Inference for Outliers in Autoregressive Time Series
18. Empirical likelihood ratio in penalty form and the convex hull problem
19. Clusters of Multivariate Stationary Time Series by Differential Evolution and Autoregressive Distance
20. Statistical and Numerical Algorithms for Time Series Classification
21. Evolutionary Computing in Statistical Data Analysis
22. Genetic Algorithms-based Approaches for Clustering Time Series
23. Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series
24. The Genetic Algorithm Estimates for the Parameters of Order p Normal Distributions
25. Multivariate Mixture Models Estimation: A Genetic Algorithm Approach
26. Multivariate Self-Exciting Threshold Autoregressive Modeling by Genetic Algorithms
27. Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data
28. Periodic autoregressive models for time series with integrated seasonality
29. Evolutionary Statistical Procedures
30. Cluster Analysis
31. Design of Experiments
32. Evolving Regression Models
33. Introduction
34. Evolutionary Computation
35. Time Series Linear and Nonlinear Models
36. Outliers
37. Statistical and Numerical Algorithms for Time Series Classification
38. Evolutionary Computing in Statistical Data Analysis
39. Multivariate Mixture Models Estimation: A Genetic Algorithm Approach
40. Genetic Algorithms and Clustering: an Application to Fisher’s Iris Data
41. A cluster Analysis for Binary Data Using Genetic Algorithms
42. Periodic autoregressive models for time series with integrated seasonality.
43. Empirical likelihood for outlier detection and estimation in autoregressive time series
44. Genetic algorithms for the identification of additive and innovation outliers in time series
45. Double threshold autoregressive conditionally heteroscedastic model building by genetic algorithms
46. Portmanteau tests based on quadratic forms in the autocorrelations
47. Empirical likelihood for outlier detection in regression models
48. A cluster analysis on road traffic accidents using genetic algorithms
49. Portmanteau tests based on quadratic forms in the autocorrelations.
50. Genetic search for threshold parameters in time series threshold models: algorithms and computer programs
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