Statistical theory

Robust experimental designs for generalized linear models in matlab

The following Matlab project contains the source code and Matlab examples used for robust experimental designs for generalized linear models. Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs.

Entropy, joint entropy and conditional entropy function for n variables in matlab

The following Matlab project contains the source code and Matlab examples used for entropy, joint entropy and conditional entropy function for n variables. for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X;Y;Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).

Calculates the sample entropy, in bits, of discrete variables. in matlab

The following Matlab project contains the source code and Matlab examples used for calculates the sample entropy, in bits, of discrete variables. . Entropy: Returns entropy (in bits) of each column of 'X'   by Will Dwinnell     H = Entropy(X)     H = row vector of calculated entropies (in bits)   X = data to be analyzed     Note 1: Each distinct value in X is considered a unique value.

Total kullback leibler (tkl) divergence between multivariate normal probability density functions. in matlab

The following Matlab project contains the source code and Matlab examples used for total kullback leibler (tkl) divergence between multivariate normal probability density functions. . This program implements the tKL between two multivariate normal probability density functions following the references:     Baba C.

Calculate the probability of a run or streak of k consecutive successes in n bernoulli trials. in matlab

The following Matlab project contains the source code and Matlab examples used for calculate the probability of a run or streak of k consecutive successes in n bernoulli trials. . % RESULT = PROBOFSTREAK(N, K, P) % Function to calculate the probability of getting a run or streak of K % consecutive successes in N Bernoulli trials with probability P.

Monte carlo markov chain for inferring parameters for an ordinary differential equation model in matlab

The following Matlab project contains the source code and Matlab examples used for monte carlo markov chain for inferring parameters for an ordinary differential equation model. This function uses a Monte Carlo Markov Chain algorithm to infer parameters for an ordinary differential equation model of virus infection. This is a Bayesian non-linear mixed effects model.

Channel noise estimation using particle based belief propagation for ldpc decoding in awgn and bsc in matlab

The following Matlab project contains the source code and Matlab examples used for channel noise estimation using particle based belief propagation for ldpc decoding in awgn and bsc. Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models.

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