Implements Poisson fixed effects regression and robust standard errors from Wooldridge (1999) in Julia. The implementation should be faster than GLM.jl with many fixed effects.
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Updated
Jun 3, 2020 - Julia
Implements Poisson fixed effects regression and robust standard errors from Wooldridge (1999) in Julia. The implementation should be faster than GLM.jl with many fixed effects.
Inverse distance estimation solver for the GeoStats.jl framework
Locally weighted regression solver for the GeoStats.jl framework
Basic scatter plots with overlayed linear fit and ideal trend lines for visualizing estimator performance
Jackknife resampling and estimation in Julia
Geostatistical estimation solvers for the GeoStats.jl framework
Methods for M-estimation of statistical models
Real time estimation of epidemic Effective Reproduction Number for Luxembourg
Estimator of Indirect Measurement Errors, written in Julia.
Leveraging the full dimensionality of single-cell transcriptomics (among other things!)
Solve many kinds of least-squares and matrix-recovery problems
package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net
WORK-IN-PROGRESS Solve and estimate heterogenous agent models with sequence-space Jacobians
Built-in solvers for the GeoStats.jl framework
Simple methods to solve generalized method of moments (GMM) estimation.
PERK: Parameter Estimation via Regression with Kernels
System Identification toolbox, compatible with ControlSystems.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
State estimation, smoothing and parameter estimation using Kalman and particle filters.
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