Poisson Process Approach

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Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.

Maximum Likelihood Estimation: Multivariate Statistics

Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.

Likelihood Ratio Test: Detection & Estimation

Covers the likelihood ratio test for detection and estimation in statistical analysis.

Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Likelihood Ratio Test: Hypothesis Testing

Covers the Likelihood Ratio Test and hypothesis testing methods using Maximum Likelihood Estimators.

Bias, Variance, Consistency, EMV

Covers bias, variance, mean squared error, consistency, and maximum likelihood estimation in the Poisson model.

Exponential Family: Properties and Estimation

Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.

Binary Covariate Impact: 2x2 Contingency Tables

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The Likelihood of Data under a Model

Explores the likelihood of data under a model and the concept of maximum likelihood.

Generalised Linear Models: Regression with Exponential Family Responses

Covers regression with exponential family responses using Generalised Linear Models.

Escape noise MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.

Latent Variable Models

Explores latent variable models, EM algorithm, and Jensen's inequality in statistical modeling.

Extreme Value Theory: Statistical Applications Log in to Mediaspace to watch this video

Explores statistical applications of threshold exceedances and GPD modeling in extreme value theory.

Extreme Value Theory: Point Processes Log in to Mediaspace to watch this video

Covers the application of extreme value theory to point processes and the estimation of extreme events from equally-spaced time series.

Estimating R: Theory of Poisson Processes Log in to Mediaspace to watch this video

Covers the theory of Poisson processes and the estimation of the intensity parameter R.

Poisson Processes Theorems Log in to Mediaspace to watch this video

Discusses important theorems related to Poisson processes and their applications in analyzing exceedances and likelihood.

Maximum Likelihood Estimation: Econometrics Log in to Mediaspace to watch this video

Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.

Estimating R: Marking and Convergence Log in to Mediaspace to watch this video

Covers the estimation of R in Poisson processes, focusing on marking points and convergence.

Jacamar Data Analysis Log in to Mediaspace to watch this video

Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.

Multivariate Extremes: Applications and Dependence Log in to Mediaspace to watch this video

Explores multivariate extremes, including overwhelming sea defenses and heat waves.

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