xiexie224xx's starred repositories
Model-of-Supply-Chain-Anylogic
The simulation model is a project of one of my courses. It models a three-level supply chain, where retailers can order from wholesalers based on demand and wholesalers can order from the factory if the inventory is not enough.
BigData-Project-Inventory-Management-AWS
Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management during the Trends Marketplace event to professors, alumni and working professionals from various companies.
GrupoBimbo_InventoryDemandChallenge
Using data science challenge posted on Kaggle.com, built clustering algorithm and linear regression models in Python to provide insights into which regions, store types, and products will see higher returned inventory.
InverntoryWarehouse_Optimization_TimeSeries_ML
Demand planning for Inventory warehouse Optimization using Time Series Machine Learning Technique
inventory-deterministic
Inventory Management for Retail — Deterministic Demand
variational-poisson-rnn
Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"
Inventory-Management-System-using-R
This is a Inventory Management System created using R and Shiny package that forecasts next month sales demand and also calculates safety stock and reorder point.
Grupo-Bimbo-inventory-demand
Place 13 solution (Private LB) for the inventory demand forecasting challenge on Kaggle https://www.kaggle.com/c/grupo-bimbo-inventory-demand
inventory-stochastic
Inventory Management for Retail — Stochastic Demand
invent-prediction
Model to accurately forecast inventory demand based on historical sales data.
kaggle_Grupo_Bimbo_Inventory_Demand
Kaggle Grupo Bimbo Inventory Demand, NO.156/top 8% (post competition analysis) 庫存需求預測、前 8 % ( 賽後分析 )
GarchMidas
R package for GARCH-MIDAS
ardlmidasdnn
This repository contains the code for the paper "Hybrid ARDL-MIDAS-Transformer Time-Series Regressions for Multi-Topic Crypto Market Sentiment Driven by Price and Technology Factors", by Ioannis Chalkiadakis, Prof. Gareth W. Peters and Dr. Matthew Ames.
Midas-regression
Midas regression to forecast GDP in Brazil
midas.neural.net
MIDAS Neural Net
GARCH-MIDAS-volatility-estimation
Estimating the impact of Covid-19 pandemic on volatility and Value-at-Risk of energy commodities markets through GARCH models on mixed-frequency data
copula-dcc-garch
dynamic copula dcc garch estimate bank systematic risk
diplomaThesis
Here we present code from my diploma thesis Probabilistic graphical models and machine learning, where we have used vine copulas for regression and classification problem
Dependence_modelling_using_copulas
The analysis is about modelling dependence structure between financial indexes using copulas functions, especially C-vine and D-vine copula classes.
VineCopulaSeminar
VineCopula Seminar Exercise
C-Vine-Copulas
Exploring the use of C-Vine Copulas for statistical arbitrage
VineCopula-GARCH-for-Value-at-Risk-Prediction
VineCopula-GARCH for Value-at-Risk Prediction in Python