Pinned Repositories
ConnectednessApproach
custom_rime_flypy
fnets
Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2022) for network estimation and forecasting of high-dimensional time series
i3-windows
i3wm Simulator for Win10 using autohotkey
Linux-NetSpeed
将Linux现常用的网络加速集成在一起
msVAR
ordinal
R package ordinal: Regression Models for Ordinal Data
R-Package-nets
R package nets
ssmodels-in-stan
State space models (dynamic linear models, hidden Markov models) implemented in Stan.
trilium-py
Python client for ETAPI of Trilium Note.
lndldufer's Repositories
lndldufer/ConnectednessApproach
lndldufer/custom_rime_flypy
lndldufer/fnets
Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2022) for network estimation and forecasting of high-dimensional time series
lndldufer/i3-windows
i3wm Simulator for Win10 using autohotkey
lndldufer/Linux-NetSpeed
将Linux现常用的网络加速集成在一起
lndldufer/msVAR
lndldufer/ordinal
R package ordinal: Regression Models for Ordinal Data
lndldufer/R-Package-nets
R package nets
lndldufer/ssmodels-in-stan
State space models (dynamic linear models, hidden Markov models) implemented in Stan.
lndldufer/trilium-py
Python client for ETAPI of Trilium Note.
lndldufer/TVP-VAR-SV
I revised the TVP-VAR-SV model developed by Nakajima(2011), which adapted with Matlab R2022a now.