Essays about: "Naïve model"
Showing result 1 - 5 of 176 essays containing the words Naïve model.
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1. Are Distributional Variables Useful for Forecasting With the Phillips Curve?
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Does information on the distribution of wealth and income help us forecast aggregate macroeconomic variables? In this thesis, we study how adding such distributional variables to a standard forecasting model affects the forecast accuracy, in the context of inflation forecasting. Using the simulated inflation forecasting approach of Atkeson and Ohanian (2001), we perform a horse race between a textbook NAIRU Phillips curve to an extension augmented with variables from the wealth and income distributions. READ MORE
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2. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. READ MORE
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3. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
University essay from Göteborgs universitet/Graduate SchoolAbstract : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). READ MORE
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4. Route Planning of Battery Electric Heavy-Duty Commercial Vehicles : Using Contraction Hierarchies and Mixed Integer Programming
University essay from Uppsala universitet/DatalogiAbstract : This thesis addresses route planning of Battery Electric Heavy-Duty Commercial Vehicles to enhance the reliability of electric vehicle transport. Collaborating with Scania, a Swedish truck manufacturing company, the goal is to develop a pipeline that uses open source data from OpenStreetMap and performs a modified Contraction Hierarchy in order to create a graph that can be used as input to a modified Vehicle Routing Problem formulation using Mixed Integer Programming. READ MORE
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5. Analyzing How Blended Emotions are Expressed using Machine Learning Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individual’s emotional experience. READ MORE