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Your search keyword '"Model selection"' showing total 278 results

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278 results on '"Model selection"'

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1. Bayesian taut splines for estimating the number of modes.

2. Variable selection in Bayesian multiple instance regression using shotgun stochastic search.

3. LASSO-type penalization in the framework of generalized additive models for location, scale and shape.

4. Hypothesis testing for finite mixture models.

5. Bayesian multidimensional scaling procedure with variable selection.

6. Bayesian loss-based approach to change point analysis.

7. ABC model selection for spatial extremes models applied to South Australian maximum temperature data.

8. New efficient algorithms for multiple change-point detection with reproducing kernels.

9. Robust and parallel Bayesian model selection.

10. Balanced estimation for high-dimensional measurement error models.

11. Unsupervised learning of mixture regression models for longitudinal data.

12. A family of the information criteria using the phi-divergence for categorical data.

13. Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model.

14. LASSO-type penalization in the framework of generalized additive models for location, scale and shape

15. SMLSOM: The shrinking maximum likelihood self-organizing map.

16. A family of block-wise one-factor distributions for modeling high-dimensional binary data.

17. Model selection for discrete regular vine copulas.

18. Fast and fully-automated histograms for large-scale data sets.

19. Smoothly varying regularization.

20. The latent topic block model for the co-clustering of textual interaction data

21. Bayesian model selection for generalized linear models using non-local priors

22. Bayesian multidimensional scaling procedure with variable selection

23. New efficient algorithms for multiple change-point detection with reproducing kernels

24. Conditional generalized estimating equations of mean-variance-correlation for clustered data

25. Bayesian beta regression for bounded responses with unknown supports

26. Model averaging for linear mixed models via augmented Lagrangian

27. Selective inference for additive and linear mixed models

28. High-dimensional robust regression with Lq-loss functions.

29. The Expectation–Maximization approach for Bayesian quantile regression.

30. Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices.

31. General framework and model building in the class of Hidden Mixture Transition Distribution models.

32. Model-based biclustering of clickstream data.

33. Robust groupwise least angle regression.

34. Robust regression with compositional covariates

35. Balanced estimation for high-dimensional measurement error models

36. Unsupervised learning of mixture regression models for longitudinal data

37. A family of the information criteria using the phi-divergence for categorical data

38. Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model

39. Model selection for time series of count data

40. Manly transformation in finite mixture modeling

41. Gaussian graphical modeling for spectrometric data analysis.

42. Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects

43. Bias-corrected Kullback–Leibler distance criterion based model selection with covariables missing at random

44. A random-effect model approach for group variable selection.

45. Mixture model selection via hierarchical BIC.

46. Likelihood inference for generalized Pareto distribution.

47. A new minimal training sample scheme for intrinsic Bayes factors in censored data.

48. Variational inferences for partially linear additive models with variable selection.

49. Clusterwise functional linear regression models

50. Variable selection in finite mixture of regression models with an unknown number of components

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