Related lectures (63)
Rainfall Models: Deterministic vs Stochastic
Covers deterministic and stochastic rainfall models in water resources engineering, including generation, calibration, and spatially explicit models.
Random Walks on Discrete Spaces
Explores random walks on discrete spaces and their properties, including multivariate random variables and Poisson distributions.
Stochastic Models for Communications
Covers stochastic models for communications, including Poisson processes and counting processes.
Simulation & Optimization: Poisson Process & Random Numbers
Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.
Chemical Engineering Balances
Covers the principles of chemical engineering balances in steady-state two-unit processes.
Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE
Explores memorylessness in distributions, stationary processes, and estimation using MLE.
Neurobiological Signal Processing
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Stochastic Models for Communications
Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.
Stochastic Models for Communications
Covers mathematical tools for communication systems and data science, including information theory and signal processing.
Modeling Neurobiological Signals: Spikes & Firing Rate
Explores modeling neurobiological signals, focusing on spikes, firing rate, multiple state neurons, and parameter estimation.

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