Essays about: "principal components analysis"
Showing result 16 - 20 of 83 essays containing the words principal components analysis.
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16. Quantifying nitrogen oxides and ammonia via frequency modulation in gas sensors
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The use of Silicon Carbide Field Effect Transistor (SiC-FET) sensors in cyclic operation is a proven way to quantify different gases. The standard workflow involves extracting shape-defining features such as averages and slopes of the sensor signal. READ MORE
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17. Forecasting Mortality Rates using the Weighted Hyndman-Ullah Method
University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikationAbstract : The performance of three methods of mortality modelling and forecasting are compared. These include the basic Lee–Carter and two functional demographic models; the basic Hyndman–Ullah and the weighted Hyndman–Ullah. READ MORE
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18. Fifty Shades of Green: Ideological divides in the environmental movement
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : The environmental movement is a fixture of the political landscape, but our empirical understanding of its ideology is still lacking. In this thesis I examine ideological divides in the environmental movement. This is done through categorising ten areas where earlier discussions on green theory have argued that the movement is divided. READ MORE
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19. Using FAVAR Model to Test the Credit Channel Monetary Policy Transmission Mechanism in Long-term Credit Cycle
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : In this paper, based on the FAVAR model created by Ben Bernanke, 115 groups of economic variables' data from January 1959 to December 2014 were selected for the empirical analysis. From January 1959 to August 2008, the fed funds rate was used to work as the indicator of the monetary policy. READ MORE
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20. Analysis of Transactional Data with Long Short-Term Memory Recurrent Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : An issue authorities and banks face is fraud related to payments and transactions where huge monetary losses occur to a party or where money laundering schemes are carried out. Previous work in the field of machine learning for fraud detection has addressed the issue as a supervised learning problem. READ MORE