Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Prior probability

Related lectures (31)

Natural Language Generation: Decoding Techniques and Training Challenges

Covers decoding methods and training challenges in natural language generation.

Bayesian Estimation Log in to Mediaspace to watch this video

Covers the fundamentals of Bayesian estimation, focusing on the application of Bayes' Theorem in scalar estimation.

Gaussian Naive Bayes & K-NN Log in to Mediaspace to watch this video

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Bayesian Extremes: Markov Chain Monte Carlo Log in to Mediaspace to watch this video

Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.

Sexing Guppy Fish: Bayesian Inference and Decision Rules Log in to Mediaspace to watch this video

Covers the sexing of guppy fish using Bayesian inference and decision rules.

Bayesian Extremes: MCMC Analysis Log in to Mediaspace to watch this video

Explores Bayesian techniques for extreme value problems, focusing on MCMC analysis and the importance of proper prior information.

Linear Regression: Regularization Log in to Mediaspace to watch this video

Covers linear regression, regularization, and probabilistic models in generating labels.

Bayes Theorem: Applications and Interpretation Log in to Mediaspace to watch this video

Explores the practical utility of Bayes Theorem in inverting perspectives and efficiently calculating conditional probabilities.

Statistical Vision Problems Log in to Mediaspace to watch this video

Explores statistical vision problems, evaluating algorithms for hidden signal estimation and the challenges of phase transitions.

Quantization of Probability Distributions Log in to Mediaspace to watch this video

Covers quantization of probability distributions, statistical k-means clustering, mean estimation, robust clustering methods, and open research questions.

Natural Cubic Splines: Optimization and Penalization Log in to Mediaspace to watch this video

Explores the optimization and penalization of natural cubic splines, including roughness penalties and Bayesian inference.