space-time data models
Bayesian Methods for Completing Data in Space-Time Panel Models
... regional data on a range of different statistical topics, collected by the 27 mem- ber states, but also from the three candidate countries and from the four EFTA ...
40
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
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
... three models we present in this paper perform queries in O(1) time and are thus asymptotically optimal, but this does not guarantee they perform well in practice, therefore in this section we mea- sure ...
11
Space–time zero-inflated count models of Harbor seals
... The data consist of counts of harbor seals hauled out on glacial ice in Disenchantment Bay, near Yakutat, ...Daylight Time) to coincide with the daily peak in numbers of seals hauling ...18 time ...
17
Using stochastic space-time models to map extreme precipitation in southern Portugal
... 4.1 Space-time continuity of extreme precipitation Variograms were calculated according to ...ogram models are chosen and their parameters are estimated taking into account the experimental ...
11
Moving Towards Predictive Toxicology - A Systems Biology Approach
... quantitative data representing the molecular state of cell-lines and tissues across many di ff erent ...exploit time-course datasets while others work by analysing large compendiums of perturbation ...
222
Time- and Space-Efficient Spatial Data Analytics
... the data management challenges encountered with the increasing point cloud data size, have already been addressed in DBMS ...cloud data management in the form of extensions and specific data ...
184
Multiplicative State Space Models for Intermittent Time Series
... statistical models, which limits their ...of data into account, extending the taxonomy of exponential smoothing ...state space models and underlies Cros- ton’s and Teunter-Syntetos-Babai (TSB) ...
44
Space and Time Analysis on the Lattice of Cuboid for Data Warehouse
... of data cube ...selects data cube according to the cube ...polynomial time greedy heuristic framework that uses AND view (each view has a unique evaluation), OR view (any view can be computed from ...
6
Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models
... training data to ensure that the mean re- sponse model will not capture fluctuations that are idiosyn- cratic to a particular ...response models with many parameters per grid cell would require more ...
13
Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
... economic models to anticipate the global financial crisis illustrates the need for modeling to better capture complex real-world ...Conventional models—in which economic variables evolve toward equilibria ...
10
PubMedCentral-PMC5378168.pdf
... Thirdly, time-varying structural VARs (Primiceri, 2005) also enable decompositions of contemporaneous and lagged dynamic ...shifting models (Olier et ...state space models have different ...
25
Generalized Additive Mixed Modelling of River Discharge in the Black Volta River
... modelling space-time river discharge data in this ...of space and ...station data, the use of spatio-temporal dynamic models or state-space models have been ...with ...
13
Fast estimation methods for time series models in state-space form
... homoskedastic models. They have been computed with 1,000 replications of each data generating ...financial time series to which these models are typically ...
30
Integrating Remotely Sensed and Ground Observations for Modeling, Analysis, and Decision Support
... Earthquake science and emergency response require integration of many data types and models that cover a broad range of scales in time and space Timely and efficient earthquake analysis [r] ...
37
Modeling Monthly Rainfall Time Series Using Ets State Space And Sarima Models
... of time. Forecasts essentially provide future values of the time series on a specific ...variable. Time series forecasting methods are based on analysis of historical ...patterns data can be ...
6
Image Resolution Enhancement via Data-Driven Parametric Models in the Wavelet Space
... running time of Algorithm 1 with 10 iterations is typically 30 seconds for reconstruct- ing an HR image sized 128 × 128 on a Pentium-IV lap- top ...running time of Algorithm 2 depends on the redundancy ...
12
Space and time efficient data structures in texture feature extraction
... A generalisation of the grey level co-occurrence m atrix is the Generalised Co occurrence M atrix (GCM) ([39], [40], [158]), which models image texture as a two-dimensional spatial arrangement of local image ...
383
A new class of nonseparable space time covariance models
... these data substract the mean by station or consider differences in time in order to avoid modeling this spatial ...compare models with different covariance structures, we remove the estimated ...
26
Space time modelling of health data
... hierarchical models is unavoidable when doing statistical analysis that must consider both space and ...as models with a random intercept, models with random slopes and models with both ...
175