Probability for Actuarial Science
Comprehensive preparation for actuarial probability exams, covering key concepts from set theory to multivariate distributions with practical examples and visual explanations.
Biostatistics
Comprehensive introduction to biostatistics covering key concepts, probability, distributions, hypothesis testing, and statistical analysis methods for healthcare and research applications.
Random Walks II - Lecture 13
Explore random walks, Pascal's triangle, and probability distributions using Julia programming. Learn to implement time evolution of probabilities and understand cumulative sums in computational thinking.
Learning Probability Distributions - What Can, What Can't Be Done - Shai Ben-David
Explore probability distribution learning, its possibilities and limitations. Shai Ben-David discusses density estimation, sample compression schemes, and challenges in statistical learning theory.
An Introduction to Determinantal Point Processes - John C Urschel
Explore determinantal point processes: definition, examples, and applications in random matrix theory, combinatorics, and machine learning. Survey key results and open questions.
Generative Modeling by Estimating Gradients of the Data Distribution - Stefano Ermon
Explore generative modeling through gradient estimation of data distributions, covering deep energy-based models, score matching, and innovative sampling techniques for improved AI generation.
Barycenters for Probability Distributions Based on Optimal Weak Mass Transport
Explore optimal weak mass transport for probability distributions, focusing on barycenters and their applications in mathematical analysis.
Geometry of Probability Distributions - Short Course - Lecture 1
Explore a geometria de distribuições de probabilidade, incluindo invariantes diferenciais, funções Omega, teoremas de limite e teoria do valor extremo. Aprenda novas abordagens e insights em probabilidade e geometria.
Uncertainty Relations and Quantum Wave Functions: Typical and Atypical Cases
Zgłęb typowe i nietypowe przypadki relacji nieoznaczoności oraz funkcji falowych w mechanice kwantowej. Poznaj najnowsze badania w tej dziedzinie fizyki teoretycznej.
Nonlinear Stochastic Hybrid Optimal Control with Fixed Terminal States
Explore novel approaches for stochastic systems with fixed terminal states. Learn about Terminally Constrained Stochastic Minimum Principle and Hamilton-Jacobi equations for optimal control.
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse Johnson
Explore geometric patterns in data and how abstract geometry concepts enhance machine learning algorithms. Gain insights into data structure through higher-dimensional perspectives.
Transformations in FMCG Through Data Science
Explore how data science transforms FMCG industry through market evolution, digital manufacturing optimization, and key roadmap development. Gain insights from real-world scenarios and industry experts.
Real Multiparameter Persistent Homology
Explores real multiparameter persistent homology, addressing challenges and practical applications in data science. Introduces topological tameness and its implications for algebraic concepts and computational methods.
Consistency, Acyclicity, and Positive Semirings
Explore local vs. global consistency in probability distributions and relational databases, generalizing results using K-relations over positive semirings and acyclic hypergraphs.
Detecting Power Laws in Real-world Data with Python Code
Learn to detect power laws in real-world data using Python, covering log-log and maximum likelihood approaches with practical examples using artificial and social media datasets.
Distributions
Explore key probability distributions, their functions, and applications in statistics through detailed explanations and examples.
Continuous Probability Distributions
Explore continuous probability distributions, including uniform, normal, chi-square, t, and F. Learn to calculate probabilities, percentiles, means, and variances using integration techniques.
Probability Tutorial
Explore probability concepts, from uncertainty to Bayesian reasoning, with practical applications in graphical models and hidden Markov models.
Your Dreams May Come True with MTP2 by Caroline Uhler
Explore multivariate totally positive distributions, their properties, and applications in various fields. Learn about density estimation, ML estimation, and practical uses in portfolio selection and gene networks.
Introduction to the Normal Distribution - Probability and Statistics
Explore the normal distribution in statistics, understanding its key concepts and applications. Learn to analyze data patterns and make informed predictions using this fundamental probability model.
Probabilistic Generative Frameworks for Sampling 3D Complex Shapes and Images
Explore probabilistic frameworks for simulating 2D and 3D shapes, with applications in computational biology. Learn about sub-image selection and shape statistics in cellular imaging and primate mandibular molars.