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Spatial autoregression model:strong consistency     Spatial autoregression  Unit roots  Two-parameter martingale       font style='font-size:12px;'> 2015/12/11
Let ( ˆ n;  ˆn) denote the Gauss–Newton estimator of the parameter (; ) in the autoregression model Zij = Zi−1; j + Zi; j−1 − Zi−1; j−1 + ij. It is sho...
We study the compressed sensing reconstruction problem for a broad class of random, banddiagonal sensing matrices. This construction is inspired by the idea of spatial coupling in coding theory. As de...
With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator, whether piecewise constant, piecewise polynomial, variable knot spline, or vari...
OPTIMAL AND FAST DETECTION OF SPATIAL CLUSTERS WITH SCAN STATISTICS     SPATIAL CLUSTERS  SCAN STATISTICS       font style='font-size:12px;'> 2015/8/20
We consider the detection of multivariate spatial clusters in the Bernoulli model with N locations, where the design distribution has weakly dependent marginals. The locations are scanned with a rec...
We will demonstrate that if M is an uncountable compact metric space, then there is an action of the Polish group of all continuous functions from M to U(1) on a separable probability algebra which pr...
Representation of a 3-d City Model in Spatial Object-relational Databases     Databases  GIS  Modeling       font style='font-size:12px;'> 2015/7/6
Three-dimensional city models become more and more important in many GIS applications. Examples are, apart from simple visualization, city and land use planning as well as telecommunication planning ...
In recent years graphics representations have become increasingly widespread as society comes to terms with the information age.
Evolutionary game theory has recently emerged as a key paradigm in various behavioral science disciplines. In particular it provides powerful tools and a conceptual framework for the analysis of the t...
We consider equivariant solutions for the Schr¨odinger map problem from R2+1to H2 with finite energy and show that they are global in time and scatter.
Wind direction plays an important role in the spread of pollutant levels over a geographical region. We discuss how to include wind directional information in the covariance function of spatial models...
On spatial selectivity and prediction across conditions with fMRI     Machine learning  fMRI  feature selection  regions       font style='font-size:12px;'> 2012/11/22
Researchers in functional neuroimaging mostly use activation coordinates to formulate their hypotheses. Instead, we propose to use the full statistical images to define regions of interest (ROIs). Thi...
A RESEARCH ON SPATIAL TOPOLOGICAL ASSOCIATION RULES MINING     Geography  Research  Data mining  GIS  Algorithms       font style='font-size:12px;'> 2014/4/25
Spatial association rules mining is a process of acquiring information and knowledge from large databases. Due to the nature of geographic space and the complexity of spatial objects and relations, th...
As part of global climate change an accelerated hydrologic cycle (including an increase in heavy precipitation) is anticipated. So, it is of great importance to be able to quantify high-impact hydrolo...
For cell-division processes in a window, Cowan introduced four selection rules and two division rules each of which stands for one cell-division model. One of these is the area-weighted in-cell model....
Spatial pattern formation is a key feature of many natural systems in physics, chemistry and biology. The essential theoretical issue in understanding pattern formation is to explain how a spatially h...

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