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2022-statistical-modeling

本项目主要是对2008年1月1日-2021年12月31日我国1343家非金融企业的系统性风险进行测度并对风险传染机制进行分析，其主要内容包含以下两个部分：（1）基于DCC-GARCH模型的系统性风险（MES）测度，（2）复杂网络的抗毁性分析

addinslist

📜 Discover and install useful RStudio addins

applied-timeseries

for students of QDU

ata

Applied Time Series for students from School of Economics, Qingdao University

bayesian-multivariate-time-series-causal-inference

R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''

bookdown-demo

A minimal book example using bookdown

causalimpact

An R package for causal inference in time series

ccm

PluMA plugin that runs the Convergent Cross Mapping (CCM, Sugihara et al 2012) algorithm for detecting causality

ccm-1

Convergent Cross Mapping

chatgpt-web

使用 express 和 vue3 搭建的 ChartGPT 演示网页

did2s

Two-stage Difference-in-Differences package following Gardner (2021)

free-chatgpt-client-pub

**A free chatgpt client, now Supported online search.no need for a key, no need to log in.Multi-node automatic speed measurement switch,Long text translation with no word limit, AI graphics.免费的chatgpt客户端，已支持联网搜索,无需密钥，无需登录,多节点自动测速切换,长文翻译不限字数,AI出图**

frequencyconnectedness

Spectral decomposition of spillover measures

gohome

1024，1024回家，91地址，老司机，草榴，91，91porn，免翻，地址，长期，自动更新，邀请码，小草，porn，小草安卓，安装包

mfbvar

R package for Mixed-Frequency Bayesian VARs

mfgarch

An R package for using mixed-frequency GARCH models

mle-srisk

This repository contains the codes for the paper "Machine-Learning-enhanced Systemic Risk Measure: A Two-Step Supervised Learning Approach" (by R. Liu and C.S. Pun)

mlr3book

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

mlr3verse

Meta-package for installing/updating mlr3* packages.

multispatialccm

:exclamation: This is a read-only mirror of the CRAN R package repository. multispatialCCM — Multispatial Convergent Cross Mapping

my_test_book

rccm

Convergent Cross Mapping R package

srisk_project_time_series

stci

Statistical Tools for Causal Inference

synthdid

Synthetic difference in differences

systemicrisk

Estimates semiparametric systemic risk (CoVaR and MES) regression models and evaluates systemic risk forecasts

test

test_demo

tvsr

Codes for Time-Varying Spatial Regression Estimations

xmap

Convergent Cross-Mapping