Studies in Trend Detection of Scatter Plots with Visualization
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- Type
- article
- Published
- 2006-01-01
- Cited by
- 7
- References
- 44
- Access
- Open access
- OpenAlex
- https://openalex.org/W1500815439
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16634489
Keywords
Visualization, Scatter plot, Computer science, Remote sensing, Geography
References
- Classification Using Kernel Density Estimates
- Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting
- Comparison of data-driven bandwith selectors
- Local polynomial modelling and its applications
- An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.
- Spline Smoothing: The Equivalent Variable Kernel Method
- The Gaussian derivative model for spatial vision: I. Retinal mechanisms.
- On Estimating Regression
- Visualization of Multivariate Density Estimates With Level Set Trees
- Monte Carlo Statistical Methods
- The Filtered Mode Tree
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- The Bumpy Road to the Mode Forest
- The structure of images
- Significance in Scale Space for Bivariate Density Estimation
- Canonical kernels for density estimation
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Nonparametric regression and generalized linear models
- SiZer for Exploration of Structures in Curves
- A Brief Survey of Bandwidth Selection for Density Estimation
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- Learning from environmental data : methods for analysis of forest nutrition time series
- Bayesian multiscale analysis for time series data
- Bayesian multiscale feature detection of log-spectral densities
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program
- Norges Teknisk-naturvitenskapelige Universitet Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations
- LEARNING FROM ENVIRONMENTAL DATA: METHODS FOR ANALYSIS OF FOREST NUTRITION TIME SERIES
- Norges Teknisk-naturvitenskapelige Universitet Implementing Approximate Bayesian Inference Using Integrated Nested Laplace Approximation: a Manual for the Inla Program Implementing Approximate Bayesian Inference Using Integrated Nested Laplace Approximation: a Manual for the Inla Program
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