marginal distributions
On Marginal Distributions of the Ordered Eigenvalues of Certain Random Matrices
... the marginal distributions of the ordered eigenvalues of certain important random ...and marginal eigenvalue distributions of the channel matrix were presented, which further yielded ...
12
On Marginal Distributions under Progressive Type II Censoring: Similarity/Dissimilarity Properties
... of marginal densities of order statistics, the overlap can provide a good indication of the dissimilarities between two densities of two PTII censored failure ...underlying distributions and its ...
12
The Marginal Distributions of a Crossing Time and Renewal Numbers Related with Two Poisson Processes are as Ph-Distributions
... Notion of complex-valued probabilities in an attempt to find phase representations for all probability distributions on the positive real line which have rational Laplace-stieltjes transforms. Many open questions ...
8
Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula based integration of gridded observation data
... In this study, a Copula-based stochastic bias correction method is applied to correct each individual time step of a RCM simulation. This is different to the traditional transfer function-based statistical correction ...
20
Introducing a rainfall compound distribution model based on weather patterns sub sampling
... In order to improve robustness without loosing accuracy in extreme rainfall estimation, we propose an alternative ap- proach using a classification of atmospheric circulation pat- terns. These weather patterns (WP) ...
14
Model based clustering using copulas with applications
... of marginal distributions for the clusters allows the modelling of multivariate data of various modes (either discrete or continuous) in a natural ...
33
Consistent formulation of network equilibrium with stochastic flows.
... A second, and perhaps more plausible, case is an argument that does not rely on limiting distri- butions. In particular, the assumption of uncorrelated Poisson route flows may be justified in an al- ternative theoretical ...
34
Propagation techniques in probabilistic expert systems
... variables in the waste incinerator problem given Lauritzen's evidence148 3.11 Graphs of the marginal distributions of the simulated continuous.. variables in the waste i[r] ...
338
Community-based implementation and effectiveness in a randomized trial of a risk reduction intervention for HIV-serodiscordant couples: study protocol
... First, marginal distributions of each of the measures at the agency level ...frequency distributions and mode will be ob- ...steps: marginal distributions of the number of intervention ...
12
Integer valued autoregressive processes with generalized discrete Mittag-Leffler marginals
... heavy-tailed distributions and processes has been an object of great ...tailed distributions and processes serve as good models for diverse sources of da- ta like network traffic, engineering, financial ...
15
Texture classification via conditional histograms
... In non-parametric classification techniques, there are alternative ways to define the dissimilar- ity between histograms. Valuable experimental work has evaluated the performance of alternative dissimilarity measures for ...
12
Essays on Bayesian persuasion
... Note also that for these marginal distributions, if the common prior was joint distribution, such that A and B were independent, then optimal sequential signal structure would give sende[r] ...
106
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
... approximate marginal distributions of the latent values and class probabilities with fixed hyperparameter values, and show that nested EP achieves similar accuracy in a computationally efficient ...
35
Coherent Asset Allocation and Diversification in the Presence of Stress Events
... the marginal distributions of sub-portfolio returns cannot be satisfactorily modelled by a Gaussian distribution, or when the portfolio contains strongly non-linear products, then the mapping from the joint ...
37
A class of continuous bivariate distributions with linear sum of hazard gradient components
... The article is organized as follows. In Section 2 we first discuss the S-BLMP and justify our attention to its stronger version: the linear Sibuya-type BLMP introduced by Pinto (2014), see Definition 2. We show its ...
17
Bivariate distribution with two-component extreme value marginals to model extreme wind speeds
... purposes. A mean to reduce this error is by applying a joint estimation model, where information from nearby sites in the region may be combined with the record of inadequate length to increase information and to provide ...
15
A family of bivariate Pareto distributions
... of distributions which is quite flexible in the desired ...The distributions discussed earlier are individual in nature and suits only for a particular set of data that meets the specified ...Pareto ...
17
Bayesian molecular phylogenetics: estimation of divergence dates and hypothesis testing
... likelihood ratio tests and marginal distributions for evolutionary tree models with. constraints on parameters[r] ...
201
CAS: Copula Regression
... When any of the marginal distributions are discrete, there is an additional problem. This is illustrated with an example. Let X take on the values 0, 1, and 2 with probabilities 0.3, 0.4, and 0.3 ...
10
Philipp_Arbenz_ETH_Dissertation_2012.pdf
... A prudent assessment of dependence is crucial in many stochastic models for insurance risks. Copulas have become popular to model such dependencies. However, estimation procedures for copulas often lead to large ...
224