Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Stochastic Models for Communications: Continuous-Time Stochastic Processes Examples 4-5
Graph Chatbot
Related lectures (33)
Martingale-based Methods for Stochastic Systems
Explores martingales in stochastic systems, focusing on formal analysis, termination analysis, and stability verification.
Spatial Ergodicity for SPDEs
Explores spatial ergodicity for SPDEs, covering basic formulations, initial data effects, and results on ergodicity and CLT.
Mean Field Theory: Stochastic Analysis and Applications
Explores classical mean field theory, local interactions, and examples like individual-based SIR models and raindrop formation.
Maximum Entropy Principle: Stochastic Differential Equations
Explores the application of randomness in physical models, focusing on Brownian motion and diffusion.
Fokker-Planck & KPZ Equations
Explores the Fokker-Planck and KPZ equations in stochastic processes and random growth models.
Flow Equations: Singular SPDEs and Quantum Field Theory
Covers recent research on singular SPDEs and their applications in quantum field theory.
Linear Response and Complex Diffusivity
Explores martingale-based linear response, complex diffusivity, and Nyquist relation in stochastic systems with time-dependent perturbation.
Untitled
Stochastic Processes: Review and Properties
Covers the review of random variables, probability density functions, variance, and Gaussian processes.
Stochastic Processes: Ergodicity
Log in to Mediaspace to watch this video
Covers the concept of ergodicity in continuous-time stochastic processes.
Continuous-Time Stochastic Processes: Ergodicism Examples
Log in to Mediaspace to watch this video
Illustrates ergodicism in continuous-time stochastic processes through examples and calculations.
Markov Chain Convergence
Log in to Mediaspace to watch this video
Explores Markov chain convergence, emphasizing invariant distribution, Law of Large Numbers, and mean rewards computation.
Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers stochastic models for communications and the estimation of correlation functions.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Log in to Mediaspace to watch this video
Explores continuous-time stochastic processes in communication systems.
Stochastic Calculus: Lecture 1
Log in to Mediaspace to watch this video
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Martingales and Brownian Motion
Log in to Mediaspace to watch this video
Discusses convergence, martingales, Brownian motion, joint laws, testing procedures, and stop times.
Asset Selling: Optimal Revenue Policy
Log in to Mediaspace to watch this video
Explores asset selling dynamics, optimal revenue policy, acceptance thresholds, and commodity price impact.
Stochastic Models for Communications
Log in to Mediaspace to watch this video
Covers stochastic models for communication systems, including concepts like stochastic processes and Markov chains.
Discrete-Time Stochastic Processes: Wiener Filter
Log in to Mediaspace to watch this video
Explores the Wiener filter for discrete-time stochastic processes and its applications.
Stochastic Models for Communications: Discrete-Time Markov Chains - Absorption Time
Log in to Mediaspace to watch this video
Discusses discrete-time Markov chains and absorption time in communication systems.
Previous
Page 1 of 2
Next