robince / tdistfit
Matlab code for fitting multidimensional t-distributions
☆15Updated 11 years ago
Alternatives and similar repositories for tdistfit:
Users that are interested in tdistfit are comparing it to the libraries listed below
- Use Bayesian Global Optimization to solve inverse problems☆13Updated 9 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆20Updated last month
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations☆101Updated 4 years ago
- ☆27Updated 6 years ago
- The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping …☆31Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 4 years ago
- Port of SPGL1 to python☆45Updated 6 months ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆51Updated 6 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Optimal Hard Threshold for Matrix Denoising☆37Updated 3 years ago
- sliced: scikit-learn compatible sufficient dimension reduction☆22Updated 7 months ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆64Updated this week
- ☆15Updated 7 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Dynamic Mode Decomposition☆57Updated 7 years ago
- MATLAB library for working with alpha stable distributions☆28Updated 10 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆172Updated 2 years ago
- Hamiltonain Monte Carlo in Python☆39Updated 5 years ago
- Chebfun examples collection☆68Updated last year
- Matlab Toolbox for Dimensionality Reduction☆34Updated 10 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆128Updated 4 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- Variational Bayes linear and logistic regression☆34Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Canonical Correlation Forests☆20Updated 6 years ago