Dimensionality reduction and greedy learning of convoluted stochastic dynamics

Mathematics

• Dimensionality Reduction 83%
• Stochastic Dynamics 77%
• Learning 58%
• Volatility 48%
• Nonlinear Approximation 27%
• Financial Markets 26%
• Computational Techniques 26%
• Search Space 25%
• Learning Algorithm 25%
• Deconvolution 25%
• Greedy Algorithm 24%
• Observability 22%
• Complex Systems 22%
• Dimensionality 21%
• Statistical Inference 20%
• Wavelets 18%
• Stochastic Processes 18%
• Convolution 17%
• Interaction 15%
• Random variable 15%
• Unknown 13%
• Decompose 13%
• Performance 12%
• Estimate 9%
• Model 7%

Business & Economics

• Dimensionality Reduction 100%
• Stochastic Dynamics 77%
• Computational Techniques 32%
• Observability 31%
• Convolution 30%
• Statistical Inference 29%
• Wavelets 25%
• Dimensionality 24%
• Market Volatility 23%
• Stochastic Processes 22%
• Complex Systems 21%
• Random Variables 21%
• Approximation 17%
• Financial Markets 15%
• Interaction 11%
• Performance 8%

Engineering & Materials Science

• Dimensionality reduction 70%
• Financial markets 15%
• Deconvolution 14%
• Observability 14%
• Random processes 13%
• Random variables 13%
• Convolution 12%
• Learning algorithms 10%