Smoothing Spline Density Estimation Chi-Yang Chiu FebUCSB PSTAT (Institute)

Source URL: www.pstat.ucsb.edu

Career Length: Effects of Curvature of Earnings Profiles, Earnings Shocks, and Social Security∗ Thomas J. Sargent† Lars Ljungqvist

Source URL: www.tomsargent.com

• Consumer behaviour
• Consumption smoothing
• Labour economics

Tongue movements in space and time: Exploring a dynamic view on speech articulation Alessandro Vietti in collaboration with A. Pini, S. Vantini & L. Spreafico Speech dynamics, social meaning, and phonological categories

Source URL: www.phonetik.uni-muenchen.de

• Hypothesis testing
• Statistics
• Knowledge
• Information
• Time series analysis
• Basel II
• Image processing
• Signal processing
• Smoothing
• Probability of default
• SEED
• Resampling

Paper 273 An Introduction to PROC LOESS for Local Regression Robert A. Cohen SAS Institute Inc. Cary, North Carolina, USA

Source URL: www.ats.ucla.edu

• Statistics
• Regression analysis
• Local regression
• Nonparametric regression
• SAS
• Scatter plot
• Akaike information criterion
• Smoothing
• Loess
• Degrees of freedom
• Exploratory data analysis

10th of JanH. Richter Abstract Keynote Speech Richter IACER 2016 Bangkok Title: About the German “Energiewende“ (Energy Transition) and a Green Power Plant and Storage for Smoothing Electricity from

Source URL: www.icacer.com

• Energy
• Renewable energy commercialization
• Energy policy
• Sustainability
• Renewable energy in Germany
• Climate change mitigation
• Physical universe
• Energiewende in Germany
• Energy in Germany
• Energy transition
• Sustainable energy
• Renewable resource

Nonparametric spectral analysis with applications to seizure characterization using EEG time series

Source URL: arxiv.org

• Statistics
• Regression analysis
• Estimation theory
• Functional analysis
• Signal processing
• Smoothing spline
• Connection
• Variance function
• Spectrum
• Spectral density estimation
• Confidence interval

www.elsevier.com/locate/ynimg NeuroImage – 1103 Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data Donald J. Hagler Jr., ⁎ Ayse Pinar Saygin, and Martin I. Sereno

Source URL: sayginlab.ucsd.edu

• Gaussian function
• Image processing
• Statistics
• Nonparametric statistics
• Regression analysis
• Neuroscience
• Neuroimaging
• Mathematical analysis
• Functional magnetic resonance imaging
• Smoothing
• Kernel smoother
• Gaussian blur

Smoothing of quasilinear parabolic operators and applications to forward-backward stochastic systems Giuseppina Guatteri Dipartimento di Matematica, Politecnico di Milano piazza Leonardo da Vinci 32, 20133 Milano, Italia

Source URL: www.istfin.eco.usi.ch

• Symbol
• Table of stars with Bayer designations

DIGITAL TERRAIN MODELS: An Overview Thomas K. Peucker Simon Eraser University October 1979

Source URL: mapcontext.com

• Cartography
• Topography
• Geography
• Physical geography
• Contour line
• Smoothing
• Contour
• Geographic information system
• Digital elevation model
• Terrain
• Grid
• Topographic map

Smoothness without Smoothing: Why Gaussian Naive Bayes Is Not Naive for Multi-Subject Searchlight Studies Rajeev D. S. Raizada1, Yune-Sang Lee2,3* 1 Dept. of Psychology, Cornell University, Ithaca, New York, United State

Source URL: www.bcs.rochester.edu

• Statistical classification
• Statistics
• Neuroscience
• Machine learning
• Neuroimaging
• Imaging
• Magnetic resonance imaging
• Cognitive neuroscience
• Functional magnetic resonance imaging
• Naive Bayes classifier
• Pattern recognition
• Voxel