Charles Knipp
charlesknipp
Currently working on state space models, Bayesian algorithms, and topics from time series
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18
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11
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1
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Julia
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Joint parameter and state inference for state space models using Bayesian techniques
A lightweight interface for DSGE models and state space estimation.
An implementation of the direct iteration algorithm ala (Childers et al., 2022) which drops any dependency on `DynamicPPL`
A modeling language which uses mathematically familiar syntax to interface with SSMProblems.jl
Syntax highlighting in Visual Studio Code
This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.
Repositories
18A lightweight interface for DSGE models and state space estimation.
Arch Linux dotfiles
An implementation of the direct iteration algorithm ala (Childers et al., 2022) which drops any dependency on `DynamicPPL`
No description provided.
An amalgamation of SSMProblems, DynamicPPL, and AbstractMCMC that will make your skin crawl.
Joint parameter and state inference for state space models using Bayesian techniques
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
State space programming
A modeling language which uses mathematically familiar syntax to interface with SSMProblems.jl
An extension of SSMProblems.jl for interfacing with ARMA models.
Syntax highlighting in Visual Studio Code
This module is an efficient and flexible implementation of various Sequential Monte Carlo (SMC) methods. Bayesian updates occur for both latent states and model parameters using joint inference.
A wholistic attempt at exploring digital signal processing for time series analysis by way of the Butterworth filter
consumer choice optimization in Go and Python 3
No description provided.
A repository of all the code I use as an undergraduate economics/math student
running patent data through a dataframe
No description provided.