The following package and source code is about NonLinear Multiscale Representation that is based on B. Mateï, S. Meignen, "On NonLinear Multiscale Representation for Piecewise Polynomial Signals: Application to Compression and Denoising".

The following contains the description of the m-files available in the toolbox for Multivariate Multiscale Complexity Analysis

The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. The following Matlab code and examples are used for Delay vector variance.

The following Matlab code and examples are used for Multivariate Empirical Mode Decomposition that is based on A. Ahrabian, N. Rehman, and D. P. Mandic, "Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals," IEEE Signal Processing Letters, vol. 20, no. 3, pp. 245-248, 2013.

The following Matlab code and examples are about endogenous model of ordering, that is based on Farrell, S., & Lewandowsky, S. (2002). An endogenous model of ordering in serial recall.

The following Matlab code and examples is about human recognition, that are based on Farrell, S., Wagenmakers, E.-J., & Ratcliff, R. (2006). 1/f noise in human cognition: Is it ubiquitous, and what does it mean?

The following Matlab code and examples are based on Farrell, S. (2012). Temporal clustering and sequencing in short-term memory and episodic memory.

The following package and source code is based on A Bayesian Regression Approach to the Inference of Regulatory Networks from Gene Expression Data. The algorithm we use is the Sparse Bayesian regression algorithm of Tipping and Faul.

The following package and source code is based on Semiparametric Bayesian Inference for Stochastic Frontier Models (with M. F. J. Steel), Journal of Econometrics, 123, 121-152.

The following package and source code is Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes (with M. F. J. Steel), Computational Statistics and Data Analysis, 54, 2594-2608.

The following package and source code is based on Posterior Simulation of Normalized Random Measure Mixtures.

The following package and source code is used for Bayesian Nonparametric Modelling.

The following package and source code is based on Time-Varying Sparsity in Dynamic Regression Models.

The following matlab code and examples is about MatLab code for the quadratic Koch curve.

The following matlab code and examples is about Finite Element Method - Galerkin´s method

The following matlab code and examples is about Adaptive Quadrature.

The following matlab code and examples is about C1 Piecewise Cubic Splines.

The following matlab code and examples is about Newton, Lagrange and Hermite Interpolation in matlab.

The following source code example and source code is based on Non-Parametric Bayesian dictionary learning for sparse image representations. Matlab code and Inference equations are provided.

The following source code is the MATLAB implementation of the Movement Feature Space, and shows how the level lines and the adaptative background reference are calculated.