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Visar resultat 1 - 5 av 1735 uppsatser som matchar ovanstående sökkriterier.

1. 1. Does industry survey data improve GDP forecasting?

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
   Nyckelord :Bayesian; BVAR; Forecasting; GDP; survey data;

   Sammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER

3. 2. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

4. 3. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Rahul Sai Kesani; [2024]
   Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

   Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

5. 4. The last unknown leading order low-energy constant of chiral perturbation theory

   Master-uppsats, Uppsala universitet/Kärnfysik

   Författare :Magnus Bertilsson; [2024]
   Nyckelord :QCD; Form factors; Vector form factors; Chiral perturbation theory; Hadrons; Hadron physics; hyperon decay; semileptonic decay;

   Sammanfattning : .... LÄS MER

7. 5. Modelling the Exchange Rate: Evidence from the Impacts of Quantitative Easing in Sweden

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Anny Eklund; Markus Sallkvist; [2024]
   Nyckelord :Quantitative easing; Exchange rate; Bayesian VAR model; Small open economy; Triangular factorisation;

   Sammanfattning : Quantitative easing, the unconventional monetary policy measure used by many central banks to combat low inflation when interest rates are at the lower bound, has shown to be an effective tool for depreciating the domestic currency. Although the exchange rate is of particular importance in a small open economy as it directly impacts inflation dynamics,trade competitiveness and plays a substantial role in shaping monetary policy, few papers have investigated how the depreciating effect of QE to the exchange rate works. LÄS MER