Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗

Source URL: www.pstat.ucsb.edu

• Regression analysis
• Statistical methods
• Model selection
• Machine learning
• Multivariate adaptive regression splines
• Econometrics
• Stepwise regression
• Akaike information criterion
• Smoothing spline
• Bayesian information criterion

INDEPENDENT COMPONENT ANALYSIS APPLIED TO FMRI DATA: A NATURAL MODEL AND ORDER SELECTION V. Calhoun1,2, T. Adali2, G. Pearlson1 1 Johns Hopkins University Div. of Psychiatric Neuro-Imaging, 600 N. Wolfe St., Baltimore, M

Source URL: mialab.mrn.org

• Magnetic resonance imaging
• Multivariate statistics
• Neuroimaging
• Signal processing
• Cognitive neuroscience
• Functional magnetic resonance imaging
• Independent component analysis
• Principal component analysis
• Event-related functional magnetic resonance imaging
• K-means clustering
• Functional integration
• Resting state fMRI

Collaborators Bayesian Model Selection and Model Averaging, With Applications to the Cepheid Distance Scale

Source URL: quasar.as.utexas.edu

INVESTIGATION Codon and Amino Acid Usage Are Shaped by Selection Across Divergent Model Organisms of the Pancrustacea Carrie A. Whittle* and Cassandra G. Extavour*,†,1

Source URL: www.extavourlab.com

ISBA 2000, Proceedings, pp. 000–000  ISBA and Eurostat, 2001 Model Selection for Cepheid Star Oscillations WILLIAM H. JEFFERYS, THOMAS G. BARNES AND RAQUEL RODRIGUES University of Texas at Austin

Source URL: quasar.as.utexas.edu

A TRIANGULAR TREATMENT EFFECT MODEL WITH RANDOM COEFFICIENTS IN THE SELECTION EQUATION ERIC GAUTIER AND STEFAN HODERLEIN Abstract. In this paper we study nonparametric estimation in a binary treatment model where the out

Source URL: www2.bc.edu

Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes ¨ ¨ Thomas Lowe Student Member, IEEE, Emmy-Charlotte Forster

Source URL: graphics.tu-bs.de

• Model selection
• Time series analysis
• Signal processing
• Statistical models
• Noise
• Akaike information criterion
• HannanQuinn information criterion
• Bayesian information criterion
• Autoregressive model
• Predictive analytics
• Unit root
• Autocorrelation

Model Fitting and Model Selection G. Jogesh Babu Penn State University http://www.stat.psu.edu/∼babu http://astrostatistics.psu.edu

Source URL: astrostatistics.psu.edu

Supplementary Material for A re-evaluation of the model selection procedure in Pollet & NettleEsther Herberich, Torsten Hothorn, Daniel Nettle & Thomas Pollet Summary In this paper, we first explain the statistic

Source URL: cran.r-project.org

Statistical inference for noisy nonlinear ecological dynamic systems

Source URL: www.maths.lth.se

• Statistical theory
• Probability and statistics
• Statistics
• Maximum likelihood estimation
• Stable distributions
• Bayesian statistics
• Statistical tests
• Model selection
• Likelihood function
• Estimation of covariance matrices
• Data transformation
• Likelihood-ratio test