Kernel Density Estimation Methods for a Geostatistical Approach in Seismic Risk Analysis: The Case Study of Potenza Hilltop Town (Southern Italy)
暂无分享,去创建一个
[1] J. Marron,et al. Improved Variable Window Kernel Estimates of Probability Densities , 1995 .
[2] Peter J. Diggle,et al. Statistical analysis of spatial point patterns , 1983 .
[3] S. Sheather. A data-based algorithm for choosing the window width when estimating the density at a point , 1983 .
[4] Beniamino Murgante,et al. Where are the slums? New approaches to urban regeneration , 2008 .
[5] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[6] A. Cuevas,et al. A comparative study of several smoothing methods in density estimation , 1994 .
[7] M. C. Jones,et al. A Brief Survey of Bandwidth Selection for Density Estimation , 1996 .
[8] H. Miller. A MEASUREMENT THEORY FOR TIME GEOGRAPHY , 2005 .
[9] Daniel J. Price,et al. An energy‐conserving formalism for adaptive gravitational force softening in smoothed particle hydrodynamics and N‐body codes , 2006, astro-ph/0610872.
[10] Colin O. Wu. A Cross-Validation Bandwidth Choice for Kernel Density Estimates with Selection Biased Data , 1997 .
[11] P. Diggle. A point process modeling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point , 1990 .
[12] J. Simonoff. Smoothing Methods in Statistics , 1998 .
[13] Luc Devroye,et al. Variable Kernel Estimates: On the Impossibility of Tuning the Parameters , 1998 .
[14] Ian Abramson. On Bandwidth Variation in Kernel Estimates-A Square Root Law , 1982 .
[15] K. Dixon,et al. Harmonic mean measure of animal activity areas , 1980 .
[16] G. Grünthal. European macroseismic scale 1998 : EMS-98 , 1998 .
[17] Stephen M Roberts,et al. Body Weight Distributions for Risk Assessment , 2007, Risk analysis : an official publication of the Society for Risk Analysis.
[18] J. Montanero,et al. ON THE EXISTENCE AND LIMIT BEHAVIOR OF THE OPTIMAL BANDWIDTH FOR KERNEL DENSITY ESTIMATION , 2007 .
[19] M. C. Jones,et al. On optimal data-based bandwidth selection in kernel density estimation , 1991 .
[20] D. Sumner,et al. Are Farm Size Distributions Bimodal? Evidence from Kernel Density Estimates of Dairy Farm Size Distributions , 2001 .
[21] Giuseppe Borruso,et al. Network Density Estimation: Analysis of Point Patterns over a Network , 2005, ICCSA.
[22] V. A. Epanechnikov. Non-Parametric Estimation of a Multivariate Probability Density , 1969 .
[23] Trevor C. Bailey,et al. Interactive Spatial Data Analysis , 1995 .
[24] James Stephen Marron,et al. On the Amount of Noise Inherent in Bandwidth Selection for a Kernel Density Estimator , 1987 .
[25] C. Quesenberry,et al. A nonparametric estimate of a multivariate density function , 1965 .
[26] M. C. Jones,et al. E. Fix and J.L. Hodges (1951): An Important Contribution to Nonparametric Discriminant Analysis and Density Estimation: Commentary on Fix and Hodges (1951) , 1989 .
[27] Neil Stuart,et al. When is a hotspot a hotspot? A procedure for creating statistically robust hotspot maps of crime , 2002 .
[28] Jerome Sacks,et al. ASYMPTOTICALLY OPTIMUM KERNELS FOR DENSITY ESTIMATION AT A POINT , 1981 .
[29] T. Cacoullos. Estimation of a multivariate density , 1966 .
[30] Giuseppe Borruso,et al. Network Density and the Delimitation of Urban Areas , 2003, Trans. GIS.
[31] Roland Schregle,et al. Bias Compensation for Photon Maps , 2003, Comput. Graph. Forum.
[32] D. W. Scott,et al. On Locally Adaptive Density Estimation , 1996 .
[33] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[34] David Taniar,et al. Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part I , 2005, ICCSA.
[35] Matthew P. Wand,et al. Kernel Smoothing , 1995 .
[36] Susan A. Murphy,et al. Monographs on statistics and applied probability , 1990 .
[37] P. J. Clark,et al. Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations , 1954 .
[38] Guenter Enderle,et al. Bias Compensation for Photon Maps , 1985 .
[39] I Bracken,et al. Linkage of the 1981 and 1991 UK Censuses Using Surface Modelling Concepts , 1995, Environment & planning A.
[40] Bernard W. Silverman,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[41] A. Bowman,et al. Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations , 1999 .
[42] L. Breiman,et al. Variable Kernel Estimates of Multivariate Densities , 1977 .
[43] B. Worton. Kernel methods for estimating the utilization distribution in home-range studies , 1989 .
[44] Hans-Peter Seidel,et al. Fast Final Gathering via Reverse Photon Mapping , 2005, Comput. Graph. Forum.
[45] P. Diggle,et al. Spatial point pattern analysis and its application in geographical epidemiology , 1996 .
[46] P. Diggle. A Kernel Method for Smoothing Point Process Data , 1985 .
[47] J. Downs,et al. Characterising Linear Point Patterns , 2007 .
[48] David W. S. Wong,et al. A surface-based approach to measuring spatial segregation , 2007 .
[49] Martin L. Hazelton,et al. Optimal rates for local bandwidth selection , 1996 .
[50] James Stephen Marron,et al. Variable window width kernel estimates of probability densities , 1992 .
[51] Chris Brunsdon,et al. Estimating probability surfaces for geographical point data: an adaptive kernel algorithm , 1995 .
[52] David W. Macdonald,et al. Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home- range analyses with least-squares cross-validation , 2005 .
[53] Christopher Worswick,et al. Adaptation and Inequality: Children of Immigrants in Canadian Schools , 2004 .
[54] Stephen Chiu,et al. A Comparative Review of Bandwidth Selection for Kernel Density Estimation , 1996 .
[55] Jason Dykes,et al. The use of the landscape metaphor in understanding population data , 1999 .
[56] J. Burt,et al. Elementary statistics for geographers , 1995 .
[57] Huan Liu,et al. Social Computing, Behavioral Modeling, and Prediction , 2008 .