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The Dynamic Linear Model Joint Distributions

A joint calibration model for combining predictive distributions

A joint calibration model for combining predictive distributions

... JCM, as well as Bayesian Model Averaging (BMA), is designed to produce probabilistic forecasts, and as a by-product also produces deterministic forecasts. The performance of JCM with respect to BMA has been ...

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A Dynamic Non-Linear Viscoelastic Model

A Dynamic Non-Linear Viscoelastic Model

... a dynamic non-linear viscoelastic model which is useful to explain the essential characteristics of the dynamic soils ...this model the damping functions in terms of both strain and ...

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Dynamic joint sentiment-topic model

Dynamic joint sentiment-topic model

... dJST model is motivated by two ...JST model assumes that words in text have a static co-occurrence pat- tern, which may not be suitable for the task of capturing topic and sentiment shifts in a time-variant ...

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Recurrence relationships and model monitoring for dynamic linear model

Recurrence relationships and model monitoring for dynamic linear model

... predictive distributions provide the basis for future derivation of relevant diagnostics such as those advocated by Smith and Pettit (1985), Bernardo (1985) and Johnson and Geisser ...variance model ...

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Joint dynamic probabilistic constraints with projected linear decision rules

Joint dynamic probabilistic constraints with projected linear decision rules

... Proof. From Lemma 2.3 we see that any feasible point and, hence, any solution of (15), (17) and (18) is feasible for (8). From the inclusions of Lemma 2.3 it follows that ϕ 1 ≥ ϕ 3 ≥ ϕ 4 ≥ ϕ . Now, let z ∗ be a solution ...

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A Mixture Model of Circular Linear Distributions for Color Image Segmentation

A Mixture Model of Circular Linear Distributions for Color Image Segmentation

... This smoothing is done using a sliding window of size 7 × 7. To make a visual comparison, we first present some sample re- sults in Fig. 2. The general observation on Fig. 2 is that too many regions are generated by all ...

6

Forecast covariances in the linear multiregression dynamic model.

Forecast covariances in the linear multiregression dynamic model.

... The linear multiregression dynamic model (LMDM) is a Bayesian dynamic model which preserves any conditional independence and causal structure across a multivariate time ...to ...

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Forecast covariances in the linear multiregression dynamic model

Forecast covariances in the linear multiregression dynamic model

... graphical model (see, for example, Cowell et ...the model through local ...its model. When these regressions are linear, we have a linear MDM (LMDM) and in this case we have a set of ...

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Joint distributions of waves and rain

Joint distributions of waves and rain

... This example from the NW Atlantic shows that increasingly high rain rates are associated with lower and lower wave heights. Figure 2. Two representations of the joint wave height- rain rate statistics for region 3 ...

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A Review on Model Updating of Joint Structure for Dynamic Analysis Purpose

A Review on Model Updating of Joint Structure for Dynamic Analysis Purpose

... of model updating on the joint structure has been ...in model updating. Without accurate modelling, model updating cannot be carried out ...for model updating procedure by minimizing ...

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A review on model updating of joint structure for dynamic analysis purpose

A review on model updating of joint structure for dynamic analysis purpose

... to model the weld ...detailed model will be a challenge. A very detailed model produces a detailed and smooth stress field, but it may provide less accurate prediction of stiffness for real spot ...

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Dynamic network loading: a stochastic differentiable model that derives link state distributions

Dynamic network loading: a stochastic differentiable model that derives link state distributions

... a dynamic network loading model that yields queue length distributions, accounts for spillbacks, and maintains a differentiable mapping from the dynamic demand on the dynamic queue ...

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Dynamic Performance Analysis of Hysteresis Motors by a Linear Time-Varying Model

Dynamic Performance Analysis of Hysteresis Motors by a Linear Time-Varying Model

... a Linear Time-Varying Model ...the dynamic performance of ...d-q model of the motor with time-varying parameters being updated during the simulation ...

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A test of cross section dependence for a linear dynamic panel model with regressors

A test of cross section dependence for a linear dynamic panel model with regressors

... data model, the factors may represent a general demand shock or an oil price shock with the factor loadings re‡ecting the relative openness of the economies, di¤erences in technological constraints, and so ...

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On joint distributions of order statistics for a discrete case

On joint distributions of order statistics for a discrete case

... Stat. Plan. Inference 55, 13-21 (1996) 6. Cao, G, West, M: Computing distributions of order statistics. Commun. Stat., Theory Methods 26, 755-764 (1997) 7. Childs, A, Balakrishnan, N: Relations for order ...

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A Cascaded Linear Model for Joint Chinese Word Segmentation and Part of Speech Tagging

A Cascaded Linear Model for Joint Chinese Word Segmentation and Part of Speech Tagging

... Cascaded Linear Model In theory, any useful knowledge can be incorporated into the perceptron directly, besides the character- based features already ...

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Parameters Identification of Dynamic Characteristics of Sliding Joint Surface of Linear Motor Feed Drive System

Parameters Identification of Dynamic Characteristics of Sliding Joint Surface of Linear Motor Feed Drive System

... Element Model of the Linear Motor Feed Drive System Establishment of Simulation Model of the Linear Motor Feed Drive System The experimental object studied in this paper was a workbench of ...

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Why Technological Spillovers elude Developing Countries A Dynamic Non-linear Model

Why Technological Spillovers elude Developing Countries A Dynamic Non-linear Model

... This paper attempts to theoretically understand the process of catching-up or falling behind particularly within the context of developing countries. The main aim of the paper consists in investigating the impact of ...

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Cumulative Stressors and Traumas and Suicide: A Non Linear Cusp Dynamic Systems Model

Cumulative Stressors and Traumas and Suicide: A Non Linear Cusp Dynamic Systems Model

... catastrophe model in health science investigations thus far has been the cusp, which has two control parameters: 1) asymmetry, which has a smooth and linear relationship with the system output, and 2) ...

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TIME SERIES ANALYSIS OF COMPOSITIONAL DATA USING A DYNAMIC LINEAR MODEL APPROACH

TIME SERIES ANALYSIS OF COMPOSITIONAL DATA USING A DYNAMIC LINEAR MODEL APPROACH

... This kind of data occurs frequently in many disci- plines such as economics, geology and ecology. Usual multivariate statistical procedures available in the literature are not applicable for the analysis of such data ...

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