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Statistics for Spatio-Temporal Data by Noel Cressie, Christopher K. Wikle

Statistics for Spatio-Temporal Data Noel Cressie, Christopher K. Wikle ebook
Publisher: Wiley
ISBN: 0471692743, 9780471692744
Page: 624
Format: epub

Download Spatio-Temporal Databases: Flexible Querying and Reasoning Statistics for Spatio-Temporal Data - Noel Cressie, Christopher K. My main focus of research is in mathematical statistics and applied probability, particularly in relation to spatial data sets and computational problems as covered in the research areas known as spatial statistics, stochastic geometry, simulation- based inference, Markov chain Monte Carlo methods, and perfect simulation. Department name when degree awarded. In this thesis I present such generally applicable, statistical methods that address all three problems in a unifying approach. NeuroImage, 2013 Increasing Statistical Power by Modeling Spatiotemporal Correlations in Longitudinal Neuroimage Data. Spatio-Temporal Databases: Flexible Querying and Reasoning book download. The main goal of the project is to combine spatio-temporal models for pollution and health data into a single large hierarchical Bayesian model. Abstract: Statistical traffic data analysis is a hot topic in traffic management and control. Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data. Hierarchical spatial, temporal, and spatio-temporal models allow for the simultaneous modeling of both first and second order processes, thus accounting for underlying autocorrelation in the system while still providing insight into overall Based on preliminary analysis, the data appeared to be overdispersed, containing a disproportionately high number of zeros along with a high variance relative to the mean. The postdoctoral fellow will develop and implement cutting-edge statistical methodologies with the goal of improving the analysis of high-dimensional spatio-temporal survey data. Thesis Most of my recent books and papers deal with statistical inference and computational methods for spatial and spatio-temporal point processes. In this field, current research progresses focus on analyzing traffic flows of individual links or local Our aim is precisely to propose a new methodology for extracting spatio-temporal traffic patterns, ultimately for modeling large-scale traffic dynamics, and long-term traffic forecasting. Statistics for Spatio-Temporal Data (Wiley Desktop Editions) by Noel Cressie (Author), Christopher K. Their analysis, “Unique in the Crowd: the privacy bounds of human mobility” showed that data from just four, randomly chosen “spatio-temporal points” (for example, mobile device pings to carrier antennas) was enough to uniquely identify 95% of the individuals, Using a complex mathematical and statistical analysis of that data, the researchers discovered that it is possible to find one formula to express what they call the “uniqueness of human mobility”: e 5 a 2 (nh). In this presentation, NCVA introduces “OECD eXplorer” – an interactive tool for analyzing and communicating gained insights and discoveries about spatial-temporal and multivariate OECD regional data.