Results 1 - 10 of 1,498

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

by Arnaud Delorme, Scott Makeig - J. Neurosci. Methods
"... Abstract: We have developed a toolbox and graphic user interface, EEGLAB, running under the cross-platform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event i ..."
Abstract - Cited by 886 (45 self) - Add to MetaCart
information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decompositions including channel

Nonlinear Models for Repeated Measurement Data

by Marie Davidian, David M. Giltinan , 1995
"... Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics. This framework first enjoyed wid ..."
Abstract - Cited by 338 (9 self) - Add to MetaCart
Nonlinear mixed effects models for data in the form of continuous, repeated measurements on each of a number of individuals, also known as hierarchical nonlinear models, are a popular platform for analysis when interest focuses on individual-specific characteristics. This framework first enjoyed

A tutorial on onset detection in music signals

by Juan Pablo Bello, Laurent Daudet, Samer Abdallah, Chris Duxbury, Mike Davies, Mark B. Sandler - IEEE TRANSACTIONS IN SPEECH AND AUDIO PROCESSING , 2005
"... Note onset detection and localization is useful in a number of analysis and indexing techniques for musical signals. The usual way to detect onsets is to look for “transient” regions in the signal, a notion that leads to many definitions: a sudden burst of energy, a change in the short-time spectrum ..."
Abstract - Cited by 182 (15 self) - Add to MetaCart
Note onset detection and localization is useful in a number of analysis and indexing techniques for musical signals. The usual way to detect onsets is to look for “transient” regions in the signal, a notion that leads to many definitions: a sudden burst of energy, a change in the short

On Advances in Statistical Modeling of Natural Images

by A. Srivastava, A. B. Lee, S.-c. Zhu, et al. , 2003
"... Statistical analysis of images reveals two interesting properties: (i) invariance of image statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, i.e. high kurtosis, heavy tails, and sharp central cusps. In this paper we review some recent results in statistical modeli ..."
Abstract - Cited by 146 (7 self) - Add to MetaCart
Statistical analysis of images reveals two interesting properties: (i) invariance of image statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, i.e. high kurtosis, heavy tails, and sharp central cusps. In this paper we review some recent results in statistical

A multifractal wavelet model with application to TCP network traffic

by Rudolf H. Riedi, Matthew S. Crouse, Vinay J. Ribeiro, Richard G. Baraniuk - IEEE TRANS. INFORM. THEORY , 1999
"... In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with longrange-dependent correlations (1=f noise). Using the Haar wavelet transform and a special multiplicative structure on the wavelet and scaling coefficients to ensure positive results, the mo ..."
Abstract - Cited by 204 (28 self) - Add to MetaCart
, the model provides a rapid O(N) cascade algorithm for synthesizing N-point data sets. We study both the second-order and multifractal properties of the model, the latter after a tutorial overview of multifractal analysis. We derive a scheme for matching the model to real data observations and

Application of hierarchical linear models to assessing change.

by Anthony S Bryk , Stephen W Raudenbush - Psychological Bulletin, , 1987
"... Recent advances in the statistical theory of hierarchical linear models should enable important breakthroughs in the measurement of psychological change and the study of correlates of change. A two-stage model of change is proposed here. At the first, or within-subject stage, an individual's s ..."
Abstract - Cited by 207 (5 self) - Add to MetaCart
Recent advances in the statistical theory of hierarchical linear models should enable important breakthroughs in the measurement of psychological change and the study of correlates of change. A two-stage model of change is proposed here. At the first, or within-subject stage, an individual

SUGI 28 Advanced Tutorials

by Catherine Truxillo, Ph. D, Stephen Mcdaniel, David Mcnamara
"... From SAS/STAT ® to SAS/ETS ® to SAS/QC ® to SAS/GRAPH®, Enterprise Guide provides a powerful graphical interface to access the depth and breadth of analytic capabilities in SAS. This paper provides an overview of analytic methods available via SAS/Enterprise Guide task wizards. Custom coded analyses ..."
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in Enterprise Guide, although the information in this tutorial can be applied to many of the tasks in Enterprise Guide software. This paper first presents a brief overview of the analytic tasks available through Enterprise Guide tasks. Next, it gives examples of how to use Enterprise Guide for statistical

Bayesian Analysis of Computer Code Outputs: A Tutorial

by A. O'Hagan , 2004
"... The Bayesian approach to quantifying, analysing and reducing uncertainty in the application of complex process models is attracting increasing attention amongst users of such models. The range and power of the Bayesian methods is growing and there is already a sizeable literature on these methods. H ..."
Abstract - Cited by 81 (0 self) - Add to MetaCart
. However, most of it is in specialist statistical journals. The purpose of this tutorial is to introduce the more general reader to the Bayesian approach.

A tutorial on Bayesian nonparametric models.

by Samuel J Gershman , David M Blei - Journal of Mathematical Psychology, , 2012
"... Abstract A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in choosing the number of clusters in mixture models or the number of factors in factor analysis. In this tutorial ..."
Abstract - Cited by 42 (9 self) - Add to MetaCart
Abstract A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in choosing the number of clusters in mixture models or the number of factors in factor analysis. In this tutorial

Tutorial in Biostatistics: Multivariable prognostic models. Statistics in Medicine

by Frank E. Harrell, Kerry L. Lee, Daniel, B. Mark , 1996
"... Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use a mixture of categorical and continuous variables and can handle partially observed (censored) responses. However, uncritical application of modelling techniques can resu ..."
Abstract - Cited by 30 (0 self) - Add to MetaCart
Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use a mixture of categorical and continuous variables and can handle partially observed (censored) responses. However, uncritical application of modelling techniques can
Results 1 - 10 of 1,498