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Titlebook: Complex Models and Computational Methods in Statistics; Matteo Grigoletto,Francesco Lisi,Sonia Petrone Book 2013 Springer-Verlag Italia 20

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樓主: Menthol
11#
發(fā)表于 2025-3-23 09:55:55 | 只看該作者
Volatility Swings in the US Financial Markets,rage level. By looking at volatility measures for major indices, we notice similar patterns (including jumps at about the same time), with stronger similarities, the higher the degree of company capitalization represented in the indices. We adopt the recent Markov Switching asymmetric multiplicative
12#
發(fā)表于 2025-3-23 15:08:24 | 只看該作者
Semicontinuous Regression Models with Skew Distributions,e. a continuous variable that has a lower bound, that we here consider to be zero, and such that a sizable fraction of the observations takes value on this boundary. Semicontinuous response models are common in pharmacovigilance, pharmacoepidemiological and pharmacoeconomic studies, where it can be
13#
發(fā)表于 2025-3-23 21:27:14 | 只看該作者
14#
發(fā)表于 2025-3-23 23:57:35 | 只看該作者
15#
發(fā)表于 2025-3-24 04:21:48 | 只看該作者
Using Integrated Nested Laplace Approximations for Modelling Spatial Healthcare Utilization,hospital of Mulhouse a town located in the north-east of France. Interest is on the distribution over geographical units of the number of patients living in this geographical unit. Models considered are within the framework of Bayesian latent Gaussian models. Our response variable is assumed to foll
16#
發(fā)表于 2025-3-24 08:08:36 | 只看該作者
17#
發(fā)表于 2025-3-24 12:27:02 | 只看該作者
18#
發(fā)表于 2025-3-24 17:06:02 | 只看該作者
A New Unsupervised Classification Technique Through Nonlinear Non Parametric Mixed-Effects Models,posed method is an iterative algorithm that alternates a nonparametric EM step and a nonlinear Maximum Likelihood step. We apply this new procedure to perform an unsupervised clustering of longitudinal data in two different case studies.
19#
發(fā)表于 2025-3-24 22:07:04 | 只看該作者
https://doi.org/10.1007/978-88-470-2871-5Bayesian inference; complex problems; computational methods; high-dimensional data; likelihood-based inf
20#
發(fā)表于 2025-3-25 00:29:17 | 只看該作者
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