Mean Field Theory: Stochastic Analysis and Applications

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Related lectures (32)

Wiener Filter for Discrete-Time Stochastic Processes

Covers the theory and application of the Wiener filter for discrete-time stochastic processes.

Road Noise: Source-side Measures

Covers the analysis of road noise reduction measures at the source, focusing on different road coverings and speed reduction impact.

Noise Impact Studies: Determination and Assessment

Explores noise emissions and immissions in environmental impact studies, focusing on assessment methods and protective measures.

Input-Output Diagrams

Explains input-output diagrams in queueing systems and traffic signals, including Little's Formula and issues like FIFO violation and noise effects.

Noise Effects and Measurement

Explores the effects of noise on human perception and the measurement techniques used to assess noise levels.

Effects of Noise: Averaged Levels

Explores the effects of noise and various averaged levels in audio engineering.

Flow Equations: Singular SPDEs and Quantum Field Theory

Covers recent research on singular SPDEs and their applications in quantum field theory.

Stochastic Integral: Isometry Continuity

Covers stochastic integrals, emphasizing isometry and continuity properties in martingales and different spaces.

Noise Pollution: Impact and Mitigation Measures

Explores the impact of noise pollution, legal frameworks, noise sources, and mitigation measures.

Noise in Electronics: Fundamentals and Applications

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.

Mood disorders and urban environment

Delves into the relationships between mood disorders, cognitive performance, and brain plasticity in urban environments, using data from medical cohorts.

Environmental Legislation and Construction Law

Explores environmental legislation, emphasizing noise and air pollution protection measures.

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