Topic: likelihood-functions Goto Github
Some thing interesting about likelihood-functions
Some thing interesting about likelihood-functions
likelihood-functions,Matrix Determinant Toolkit
User: ameli
Home Page: https://ameli.github.io/detkit/
likelihood-functions,The maximum likelihoood estimator approach is used here for calculating the Regression parameter that is slope(b1),intercept(b0) and standard deviation of error/residuals. Then Result or the output for the regression parameters using the OLS(ordiniary Least Sqaure) estimation method versus the MLE(MAximum Likelihood Estimation) method is compared. Also note that this MLE is used when the residual(e) of the regression model does not follow normal distribution for different observations.
User: ashishyadav24092000
Home Page: https://github.com/ashishyadav24092000/MaximumLikelihoodEstimator
likelihood-functions,Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.
User: ashishyadav24092000
Home Page: https://github.com/ashishyadav24092000/MAximumLIkelihoodEstimator2_TVads_and_carsold
likelihood-functions,Likelihood to account for Monte Carlo statistical uncertainties
User: austinschneider
likelihood-functions,Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Organization: bcbi
Home Page: https://bcbi.github.io/MaximumLikelihoodProblems.jl/stable/
likelihood-functions,Toolbox for non-linear calibration modeling.
Organization: jubiotech
Home Page: https://calibr8.readthedocs.io
likelihood-functions,Provides likelihood functions for Gaussian Processes.
Organization: juliagaussianprocesses
likelihood-functions,Modelling extreme values
User: lbelzile
Home Page: https://lbelzile.github.io/mev
likelihood-functions,Eindhoven University of Technology (TU/e) course "Improving your statistical inferences" by Daniel Lakens on Coursera (completed Dec 2022).
User: peterschuld
likelihood-functions,Dynamic failure rate distributions (DFR)
User: queelius
Home Page: https://queelius.github.io/dfr_dist/
likelihood-functions,Parallel Metropolis-Hastings Markov chain Monte Carlo toolkit
User: rplzzz
likelihood-functions, This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
User: scrayil
likelihood-functions,X-PSI: X-ray Pulse Simulation and Inference
Organization: xpsi-group
likelihood-functions,A repository for the 'concurve' R package which generates confidence distributions and likelihood functions. Includes documentation on how to do produce similar graphs for Stata.
User: zadrafi
Home Page: https://stat.lesslikely.com/concurve/
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