Statistical Foundations Driving 21st Century Innovation
From MaRDI portal
Publication:6651344
DOI10.1080/01621459.2024.2412464MaRDI QIDQ6651344
Could not fetch data.
Publication date: 10 December 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Handbook of computational statistics. Concepts and methods.
- Time series: theory and methods.
- Bayesian detection of image boundaries
- Sparse portfolio selection via Bayesian multiple testing
- Statistical inference for the evolutionary history of cancer genomes
- A martingale approach for fractional Brownian motions and related path dependent PDEs
- Validation of Visual Statistical Inference, Applied to Linear Models
- ggplot2
- Extreme Value Modeling and Risk Analysis
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A Generalized Least-Square Matrix Decomposition
- Optimal reinsurance pricing with ambiguity aversion and relative performance concerns in the principal-agent model
- Sparse Single Index Models for Multivariate Responses
- Multivariate Density Estimation
- Convex biclustering
- Bayesian Inference of Multiple Gaussian Graphical Models
- Time Series: A Data Analysis Approach Using R
- What are the Most Important Statistical Ideas of the Past 50 Years?
- Bioinformatics
- Heavy-tailed densities
- Computational finance: correlation, volatility, and markets
- Decisions, decisions, decisions in an uncertain environment
- Bayesian variable selection for understanding mixtures in environmental exposures
This page was built for publication: Statistical Foundations Driving 21st Century Innovation
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6651344)
