space-time data model
Use of Space Time Model for Forecasting Mortality due to Malaria: A Case of Ifakara and Rufiji Health and Demographic Surveillance System Sites
... secondary data which were prospectively collected from1999 to 2011 and 2002 to 2012 for Rufiji and Ifakara HDSS sites ...on data collection, management and credibility in HDSS have been describe elsewhere ...
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Bayesian Methods for Completing Data in Space-Time Panel Models
... panel data. Our new method has shown that it pays to get a good spatial model if one is interested in good predictions of missing data in a cross-sectional or panel ...good model is the ...
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Air pollution modelling for birth cohorts: a time-space regression model
... relevant time windows ...of data requirements and processing time, especially when the temporal and spatial resolution has to capture variation by season and within a few hundred ...use data ...
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Bayesian Inference in the Time Varying Cointegration Model*
... over time (as is implied by Proposition 4) and, hence, our prior implies constant expected change in the cointegrating ...cointegrating space over ...cointegrating space of one or two degrees each ...
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Particle Cloud Model of Electromagnetic Data in Three Dimensional Space
... EM data with different frequency and energy value at the same time because it is hard to find another element to describe frequency other than ...cloud model to exhibit the different energy value and ...
5
Space and Time Analysis on the Lattice of Cuboid for Data Warehouse
... collected data. To provide the various viewpoints for the analysts, these data are organized as a multi-dimensional data model called data ...a data cube represents a unique set ...
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Reparametrized Dynamic Space-Time Models and Spatial Model Selection
... with data that are observed over space and time. These data arise because of advances in data collection methods, which use state of the art equipment for collecting data from ...
128
A space time generator for rainfall nowcasting: the PRAISEST model
... Cosenza (CS), Crotone (KR), Catanzaro (CZ), Vibo Valentia (VV) and Reggio Calabria (RC) are met in this order. One tail significance test, at 5% and 10% significance level, has been performed. The diagrams show that ...
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A Data Model and Task Space for Data of Interest (DOI) Eye-Tracking Analyses
... DOI data that can be collected in eye-tracking exper- iments, and questions it can answer, in a purely concep- tual ...exhaustive data models that can describe and support a full range of possible ...
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Space and time efficient data structures in texture feature extraction
... Syntactic classification is based on some sort of description of the structure of the texture in each image region (see Section 1.2). According to the actual type of structural description employed, a different ...
383
Review of software for space-time disease surveillance
... either space-time Bayesian models ...observed data fit with the model ...over time to adjust to long-term changes in disease occurrence or surveil- lance effort/efficacy ...to ...
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A Space-Time Geostatistical Model for Hypoxia in the northern Gulf of Mexico.
... that model C is the best version of our geostatistical model for making predictions throughout the entire summer season, as the estimates obtained from this version have lowest uncertainties when ...
128
Space time rainfall modeling using hidden markov model
... rainfall model to produce simulations, which are consistent with the given atmospheric ...a model, which incorporates atmospheric information, would be useful in studies investigating the impact of climate ...
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Space–time adaptive hierarchical model reduction for parabolic equations
... reduction of the (spatial) dof (1000 vs 13,078). Now, we focus on the actual validation phase. For this purpose, in Fig. 25, we compare the measured (circle symbols) with the simulated concentrations (diamond symbols for ...
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Downscaling rainfields in space and time, using the String of Beads model in time series mode
... the data, the marginal distribution of the field z(u) has extremely high kurtosis, so before the temporal correlation structure can be studied, a normalising transform following the ideas of Zucchini and MacDonald ...
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A Bayesian space time model for discrete spread processes on a lattice
... (lodgepole pine) and a potential new host spieces (jack pine) with the extent of mountain pine beetle infestation in 2009. Our study area (inset) contains the northern portion of the eastward expansion of mountain pine ...
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Predicting residence time using a continuous‐time discrete‐space model of leatherback turtle satellite telemetry data
... telemetry data, Hooten et al. (2016) and Hanks et al. (2015) proposed a Bayesian hierarchical approach to statistical inference of population- level movement. This hierarchical approach incorporates uncertainties ...
10
Matched Pole-Zero State-Space Model and Continuous-Time Properties
... step-invariant model exceptionally preserves the physical meanings of the states and the direction of system ...most time-domain studies on the properties of discretized sampled-data systems are ...
9
Space time modelling of health data
... both space and ...Gaussian model assumptions, gives approximations of relevant ...linear model class and the generalised additive model ...Gaussian model family in more detail, ...
175
A Time Space Dynamic Panel Data Model with Spatial Moving Average Errors
... panel data model is more complicated because the time/space lags of the dependent variable are corre- lated with the ...no time-space de- pendence and SAR-RE disturbances ...
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