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updated almost 2 years ago

Fit distributions to censored data by Leonidas Bantis

Fits distributions to data when left and/or right and/or interval censoring is present (distribution, fit, censoring)

evfitc.m

expfitc.m

gamfitc.m

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updated 2 years ago

Fisher Matrix Toolbox (Fisher4Cast ) by Yabebal Fantaye

General Fisher Matrix Toolbox and GUI (statistics, probability, fisher4cast)

Cooray_et_al_2004

EXT_FF_Blake_etal2005_Input

EXT_FF_Blake_etal2005_Main(Input_survey)

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updated 4 years ago

Basic PCA based log-Likelihood Classifier by Dirk-Jan Kroon

PCA algorithm suitable for detection / recognition of 2D image "objects" (pca, classifier, likelihood)

[Lmean,Gmean,Cgppca,invCgppca,Vtot]=train_model(L,G)

[distanceL,distanceG,LogLikelihood]=apply_model(T,Lmean,G...

example_classifier_ms.m

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updated 4 years ago

Beta regression by Willem-Jan de Goeij

Estimation of a beta regression model (logit link function). The parameters are estimated with ML. (beta, regression, model)

betalik(vP, mX, vy)

betareg(vy, mX);

betasim(n, vBeta, phi)

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updated almost 5 years ago

Maximum Likelihood equalization for STBC-MIMO systems by Choqueuse Vincent

Perform Maximum Likelihood equalization for MIMO Systems using Space time block code. (communication, decoding, equalisation)

[modulated_coded_symbols]=space_time_coding(modulated_sym...

[separated_data]=coherent_ML_receiver(received_signal,H,c...

one_shot_ML_equalizer.m

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updated 5 years ago

Student's t regression by Willem-Jan de Goeij

Estimates a Student's t regression model (studentt, student, t)

betasim(n, vBeta, sigma, nu)

tlik(vP, mX, vy)

treg.m

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updated 6 years ago

DigitFD by Viktor Witkovsky

DigitFD generates random sample from the fiducial distribution of the parameters mu and sigma based (statistics, probability, quantization)

DigitFD.m

LogLik(muSigma,measurements,resolution)

Figures.m

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updated 7 years ago

mmvn_toolkit by Michael Boedigheimer

complete toolkit for generating, training, testing and viewing multidimensional gaussian mixtures (statistics, probability, em)

center(X, V, dim)

colorfulcube( M, creq, method )

ellipse( M, V, dims, sd )

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updated almost 9 years ago

Maximum Likelihood Contour Plot Calculation by Levente Simon

Maximum Likelihood contour plot. (statistics, probability, likelihood)

[out]=fcnSensitivityRun_3D(Objfun, BCcoeff, setts, param)

fcnMLPlot(in)

fcnNormalize0_1(a)

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updated 10 years ago

Estimation in NLME Growth Models by Mark Damen

estimates parameters in growth models (statistics, probability, nlme)

f=nlme3(B,i,b)

g=nlmeadd1(b,B,Y,D)

g=nlmeadd2(B,i,b,D)

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