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updated 3 months ago

Arsenal F.C. Premier League Predictions by Daniel Grewal

Predictions of football matches over the course of a season using different statistical methods (naive bayes, sports, autoregressive)

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updated 5 months ago

AutoRegressive.m by Daniel Grewal

AutoRegressive process used to predict outcome of football matches for my application (autoregressive, time series analysis, econometrics)

AutoRegressive( input_args )

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updated 1 year ago

Empirical orthogonal function (PCA) estimation for EEG time series by DaveA Albers

Empirical orthogonal function (PCA) estimation for EEG time series (signal processing, statistics, data exploration)

distinguishable_colors(n_colors,bg,func)

distinguishable_colors(n_colors,bg,func)

eof_unlimited_time(x, N, T, number_of_measurements_per_bl...

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updated 1 year ago

Yahoo Finance Time Series Analysis Tool by Christian Pass

Performs various time series analysis operations (data export, finance, gui)

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updated 2 years ago

Measures of Analysis of Time Series toolkit (MATS) by Dimitris Kugiumtzis

MATS computes many measures of scalar time series analysis on many time series in one go. (signal processing, simulation, statistics)

AAFTsur(xV,nsur)

AMRBootstrap(xV,arm,nsur)

ARMAfitite(xV,mV,pV,TV)

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updated 2 years ago

Causal State Modeller Toolbox by David Kelly

Allows users to infer minimal and optimal statistical predictors from time series data. (markov model, model inference, data analysis)

AICefmakerS(a)

AreaCalculator(Mean, Var, a, b)

CSM(varargin)

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updated 4 years ago

Granger Causality Test by Chandler

Conducts a Granger Causality test using the Bayesian Information Criterion to select lag length (statistics, finance, granger causality)

granger_cause.m

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updated almost 5 years ago

Using MATLAB to Develop Macroeconomic Models by Bob Taylor

Analyze a stylized version of the Smets-Wouters model for the United States economy. (econometrics, macroeconomics, time series analysis)

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updated 5 years ago

ARMASA by Piet M T Broersen

Automatic program to estimate the power spectral density with only statistically significant details (spectral analysis, time series analysis, correlation analysis)

ASAaddpath

ASAarg(arg_in,arg_name,arg_type,varargin)

ASAerr(varargin)

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