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Bio: “All Models Are Wrong, but Some Are Useful”——George Box
Type: User
Bio: “All Models Are Wrong, but Some Are Useful”——George Box
Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain, by Judd, Maliar, Maliar and Valero
Social Network Analysis using Python, R and Gephi
Social and Economic Networks Models and Analysis
Paper and source codes for Uncovering the Hit List for Small Inflation Targeters
A Julia package to solve DSGE models
The folder “Maliars_CE_25_2005” contains MATLAB software accompanying the article "Parameterized Expectations Algorithm: How to Solve for Labor Easily" by Lilia Maliar and Serguei Maliar, (2005), Computational Economics 25, 269-274.
Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods
Matlab implementation of the Anderson Moore Algorithm
A set of MATLAB and OCTAVE programs for the statistical analysis of linear time series using mainly state space methods
Package of MATLAB scripts intended as companion to Kim, C. J., & Nelson, C. R. (1999). "State-space models with regime switching"
Code for the paper Korobilis, D. (2008). “Forecasting in Vector Autoregressions with Many Predictors”, Advances in Econometrics, 23, 403-431.
machine learning course programming exercise
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify
Stata and Mata code for adaptive Markov chain Monte Carlo simulation; Stata code for Bayesian estimation of mixed logit models and truncated quantile regression models
Statistical analysis, multivariate regressions and econometrics with Stata
Template code for exporting Stata regression output to beautiful LaTeX tables
some .ado files (tools) to make programming in Stata easier
Stata and R equivalencies for UW SOC505 and SOC506.
Stata & R code for course on the fundamentals of data analysis and visualization
My homework and note of the course Statistical Computing
Statistical Methods in Finance
Estimation.m now contains everything related to estimation. Here you can choose the parameters to estimate, set the bounds, etc. Meanwhile the mod file just runs the model with one set of parameters. (See Oct 24 emails)
A Matlab Package to implement Bayesian Inference, forecast and simulation for stochastic volatility models including LSTM-SV, SV, etc.
R Code to accompany "An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models"
Partial re-write of the R package stochvol to allow for asymmetry (leverage).
Estimation of the rational expectations storage model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.