xiexie224xx

xiexie224xx

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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.

License:MITStargazers:17Issues:0Issues:0

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.

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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.

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InverntoryWarehouse_Optimization_TimeSeries_ML

Demand planning for Inventory warehouse Optimization using Time Series Machine Learning Technique

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inventory-deterministic

Inventory Management for Retail — Deterministic Demand

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variational-poisson-rnn

Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"

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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.

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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

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inventory-stochastic

Inventory Management for Retail — Stochastic Demand

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invent-prediction

Model to accurately forecast inventory demand based on historical sales data.

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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 )

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GarchMidas

R package for GARCH-MIDAS

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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.

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Midas-regression

Midas regression to forecast GDP in Brazil

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midas.neural.net

MIDAS Neural Net

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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

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copula-dcc-garch

dynamic copula dcc garch estimate bank systematic risk

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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

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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.

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VineCopulaSeminar

VineCopula Seminar Exercise

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Vine_MCTS

Vine copula structure learning via Monte Carlo tree search

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BVC_model

Bayesian vine copula (BVC) model

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C-Vine-Copulas

Exploring the use of C-Vine Copulas for statistical arbitrage

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VineCopula-GARCH-for-Value-at-Risk-Prediction

VineCopula-GARCH for Value-at-Risk Prediction in Python

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