Compute Poisson Maximum Likelihood

PoissonMax is a handy, small, command prompt based application specially designed to compute Poisson maximum likelihood mean frequency from limiting dilution data, with 95% confidence limits and Chi-square value. Platforms: Windows

In the one point-system, we suppose a optimum tetrahedral volume and this volume should be contain maximum points in the selected point-system. Extarly, this tetrahedral volume's of boundary conditions should be depend only four-node in point-system. Also, this sub-program running of similarly... Platforms: Matlab

(p)IPHULA is a software that investigates parameters of population history based on a Monte Carlo simulation using the maximum likelihood framework. Further details on how to compile, install, run, and use this program can be found in the (p)IPHULA manual (PDF). Reference: The method is... Platforms: Mac

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)... Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND... Platforms: Matlab

A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.e., a lattice decoder with spherical boundary control. In such problems, the depth of the search tree is known but the number of children per node is not... Platforms: Matlab

A stack-based sequential priority first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.e., a lattice decoder with spherical boundary control. In such problems, the depth of the search tree is known but the number of children per node is not... Platforms: Matlab

SEMPHY is a tool for data-intensive phylogenetic reconstruction. SEMPHY infers phylogenies by Maximum Likelihood, the most established criterion for finding the correct phylogenetic tree. SEMPHY searches for both the most likely topology of the evolutionary tree, and the optimal lengths of its... Platforms: Mac

In many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend.For example, high-resolution direction-of-arrival (DOA) estimation is important in many sensor systems such as radar, sonar, electronic... Platforms: Matlab

This is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

SpectrumSolvers will offer users the possibility to calculate a Power Spectral Density (PSD) estimate based on 1 of several Steve Kay's Estimators. SpectrumSolvers has a menu of Spectral estimators from Steve Kay's textbook, titled "Modern Spectral Estimation", 1988. The results differ... Platforms: Windows

UNPHASED is a small, simple, Java based application specially designed to offer users a versatile tool for performing genetic association analysis. This utility implements maximum-likelihood inference on haplotype and genotype effects while allowing for uncertain phase and missing genotypes.... Platforms: Windows

Is a cross-platform software package for econometric analysis, written in the C programming language. It is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features Easy... Platforms: Windows

A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to M-QAM modulated MIMO system-type problems, i.e., a lattice decoder with optional justified rectangular boundary control. In such problems, the depth of the search tree is known and the number of children per... Platforms: Matlab

NOTE: Though I have uploaded this toolbox, I have no contribution in this work. Programming and research in this field has been done by students given belowKapil Gulati, Marcel Nassar, Aditya Chopra, Marcus DeYoung, Arvind Sujeeth, and Navid Aghasadeghi.It is composed of various functions used to... Platforms: Matlab

A stack-based sequential priority first decoder that returns Maximum-Likelihood solutions to M-QAM modulated MIMO system-type problems, i.e., a lattice decoder with optional justified rectangular boundary control. In such problems, the depth of the search tree is known and the number of children... Platforms: Matlab

A stack-based sequential priority first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.e., a lattice decoder with spherical boundary control. In such problems, the depth of the search tree is known but the number of children per node is not... Platforms: Matlab

This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory... Platforms: Matlab

I wrote this code because I wanted to incorporate a new distribution in the model, not availiable in Matlab or OxMetrics. In this sample the input is a return series, it uses a Garch(1,1) model with a constant in mean in the returns, and calculates the maximum likelihood estimator (mle) for the... Platforms: Matlab

This toolbox was designed to simulate and fit linear state space models. The main literature I used for this particular package is Kim and Nelson (1999). A state space model (without non stochastic coefficients) is given by:y(t)=beta(t)*x(t)'+e(t)... Platforms: Matlab