[PDF] Top 20 A reparametrization approach for dynamic space-time models
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A reparametrization approach for dynamic space-time models
... the dynamic space-time model may not be easy to implement when the G matrix is completely unknown and the matrices Σ ν and Σ ω are completely unstructured, even if we are abale to de- rive the ... See full document
19
Multiplicative State Space Models for Intermittent Time Series
... From a practical supply-chain perspective, there are a number of issues that need to be resolved. We need to decide, in a systematic way, which intermittent demand forecasting method to use, rather than allowing these ... See full document
44
Two-dimensional conformal models of space-time and their compactification
... dimensional space-time in term of complex, dual and double numbers and associated M ¨obius ...the space-time. A conformal compactification of the space-time is uniformly achieved ... See full document
13
Schrodinger Evolution for the Universe: Reparametrization
... quantity. Reparametrization invariance in the presence of a global time label is the most important example of a Type 2 symmetry and, in that case, the relevant change parameter is ...quantum ... See full document
25
Fast sequential parameter inference for dynamic state space models
... It is generally mathematically and computationally convenient to work with priors that yield posteriors in closed form. One way to ensure tractability of the posterior is to use conjugate priors (Gelman et al. 2004). ... See full document
193
A new class of nonseparable space time covariance models
... for space-time interaction but the approach is restricted to a small class of functions for which a closed-form solution to a d-variate Fourier inte- gral is ...covariance models. The same ... See full document
26
Geometrical Models of the Locally Anisotropic Space Time
... a space-like or light-like normal vector field, is obtained by using specific procedures of the relativistic pseudo-Finslerian ...This approach imposes re- strictions on the submanifolds for the indicated ... See full document
22
Generalised linear models for flexible parametric modelling of the hazard function
... flexible models provide lower AIC values than the lognormal, although in general differences between values are small, and cannot be tested for statistical ...the models provide a good fit to the observed ... See full document
22
Time varying brain connectivity with multiregression dynamic models
... model space (Henry and Gates, 2017), although recently methods for larger networks have ...DCM approach using an empirical dataset with 36 brain ...model space grows exponentially, making a search ... See full document
127
A Novel Dorsal Trimline Approach for Passive-Dynamic Ankle-Foot Orthoses
... In the scope of the study, analyses were carried out in the linear region, and the material was assumed to have an elastic property, which can be considered one of the limitations of the study. The study can be developed ... See full document
10
Stacked space time densities : a geovisualisation approach to explore dynamics of space use over time
... in space and time, represented as time series of measured locations for each tagged ...ignore time and sequentiality of ...stacked space-time ...of space using a ... See full document
63
A Frequency Domain Approach to Dynamic Macroeconomic Models
... DSGE models based on the full spectrum or a set of preselected frequencies [Altug (1989), Christiano and Vigfusson (2003), Qu and Tkachenko (2012a,b), Qu (2014), Sala ...competing models available to the ... See full document
34
Quantification of resilience to water scarcity, a dynamic measure in time and space
... This approach is based on the notion that an impact, P i (t, s) which varies with time and location in space, defines a particular resilience com- ponent of a system under consideration, see ... See full document
5
Beating-Time Gestures Imitation Learning for Humanoid Robots
... trajectory-level approach to the task, focusing on low-level features such as position and ...for Dynamic Time Warping ...of models that are more difficult to perform, and hence, ... See full document
12
Bayesian and Frequentist Approach to Time Series Forecasting with Application to Kenya’s GDP per Capita
... frequentist approach in forecasting the future values of a time series while state space models use the Bayesian ...used time series data from the World Bank for the period between ... See full document
15
Modeling Monthly Rainfall Time Series Using Ets State Space And Sarima Models
... rainfall time series; and compare the performance of Seasonal ARIMA models and State space models with applications to two monthly rainfall series in peninsular ...contemporaneous time ... See full document
6
Space-by-time manifold representation of dynamic facial expressions for emotion categorization
... our approach predicts that the incoming stimulus is initially projected on unitary dimensions that code AU synergies and temporal synergies before being linearly ...AU time series, each with early peak ... See full document
20
Dynamic Path in C4 Space-Time
... In the previous papers [?] [?] [?], we have presented a new formulation for a unified physical theory in C 4 space. This formulation has altered many beliefs and strategies existing in the literature of physics. ... See full document
7
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory
... diagnosis approach for automatically diagnosing hybrid systems. The approach has two parts: First, modelling dynamic system behaviour is done through well-known state space models using ... See full document
8
On a ‘time’ reparametrization in relativistic electrodynamics with travelling waves
... Here we summarize a new approach [23] that is espe- cially fruitful if in the spacetime region Ω of interest (i.e., where we wish to follow the charged particles’ worldlines) E, B can be decomposed into a static ... See full document
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