Sequential Change-point Detection in Stochastic Differential Equations
Explore advanced techniques for detecting change-points in stochastic differential equations, focusing on sequential methods and their applications in statistical analysis.
An Introduction to State-Space Models, Particle Filters, and Sequential Monte Carlo - Lecture 1
Explore state-space models, particle filters, and sequential methods in Bayesian statistics with Nicolas Chopin's comprehensive introduction to these advanced mathematical concepts.
Temporal Alignment of Human Motion Data - A Geometric Point of View
Explore geometric approaches to temporally align human motion data, focusing on innovative techniques and their applications in motion analysis.
The Extrapolation of Correlation
Explore advanced mathematical concepts in correlation extrapolation through Victor Panaretos' insightful conference talk at CIRM's thematic meeting on adaptive forecasting methods.
Maximally Predictive Ensemble Dynamics from Data
Explore maximally predictive ensemble dynamics, uncovering data-driven insights for complex system analysis and forecasting.
Marked Point Process Modeling and Estimation Problems in Neural Data Analysis
Explore marked point process modeling and estimation techniques for analyzing neural data, focusing on advanced statistical approaches in neuroscience research.
Identification of the Structure Break Point for Independent Data with Changing Variance
Odkryj metody identyfikacji punktu przełamania struktury dla niezależnych danych o zmiennej wariancji w analizie statystycznej.
Finding the Equations and Structures of Complex Systems from Data
Discover techniques for uncovering equations and structures of complex systems using data. Learn about sparse optimization, network inference, and data-driven prediction frameworks.
Psychophysiological Interactions
Explore psychophysiological interactions in neuroimaging, covering terminal time series, beta weights, and processing techniques for advanced brain connectivity analysis.
Complexity and Self-Organization in Earth Systems - Lorenz Lecture 2002
Explore self-organized complexity, predictability, and universal statistical distributions in natural systems through Donald L. Turcotte's insightful Lorenz Lecture at the 2002 AGU Fall Meeting.
Od crnih rupa do financijskih tržišta - Primjena zakona fizike u svakodnevnom životu
Fizičar Davor Horvatić otkriva primjenu zakona fizike u raznim područjima života - od prometa do financija i crnih rupa, pokazujući kako nam fizika može pomoći u razumijevanju svakodnevnih pojava.
Identifying Functional Brain Networks with Conditional Independence Graphs
Explore advanced techniques for constructing functional brain networks using conditional independence graphs and partial correlation, addressing limitations of traditional correlation methods.
Anticipating Ecological Surprises: Early-Warning Signals for Critical Transitions - Seminar
Explore early-warning signals for anticipating ecological surprises with Vasilis Dakos. Learn to predict and prepare for unexpected changes in ecosystems.
Visibility Graphs for Non-Equilibrium Phase Transitions
Explore visibility graphs for non-equilibrium phase transitions in complex networks with Juliane Teixeira's insightful workshop presentation.
Functional Networks of Weather Events Propagation Between Airports
Explore weather event propagation between airports using functional networks, analyzing data sources, statistical tools, and network subdivision for quantitative insights.
Data-Driven Load Profiles and the Complex Dynamics of Electricity Consumption
Explore data-driven load profiles and complex dynamics of electricity consumption, uncovering insights into energy usage patterns and consumer behavior.
Auto-Train a Time-Series Forecast Model with AML & ADB
Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.
Auto-Train a Time-Series Forecast Model with Azure Machine Learning and Azure Databricks
Discover how to efficiently build accurate forecasting models at scale using Azure Machine Learning and Azure Databricks, enhancing enterprise AI/ML capabilities for various industries.
New to Cognitive Services - Spatial Analysis and Metrics Advisor
Explore Computer Vision spatial analysis for understanding people's movements and Metrics Advisor for time series-based decision AI in equipment maintenance and business health monitoring.
Android Smartphone Data Analysis in R
Learn to analyze Android smartphone usage data using R, from downloading Google Takeout data to creating visualizations for app usage comparisons across time periods.
Modern SQL - Evolution of a Dinosaur
Explore SQL's evolution beyond relational algebra, featuring advanced capabilities like graph processing, XML/JSON handling, versioning, and time series analysis using modern techniques.