New methods enhance parameter estimation in spin glass models.
― 6 min read
Statistics - Statistics Theory
RSSThis article discusses the role of minimax procedures in enhancing linear regression accuracy.
― 6 min read
Learn how to predict the times extreme weather conditions can occur.
― 6 min read
This article discusses methods to sample from complex high-dimensional data more effectively.
― 6 min read
Learn how kernel regression and Bayesian updating improve predictions with new data.
― 9 min read
Innovative methods to retrieve time labels from noisy dynamical data.
― 8 min read
This article introduces minimax quantiles for better statistical estimates.
― 6 min read
This study examines Bayesian PINNs for estimating PDE parameters from noisy data.
― 5 min read
Two new estimators enhance accuracy in analyzing item response data.
― 5 min read
Explore how the stochastic block model helps identify communities in networks.
― 4 min read
Learn how to identify unusual patterns in time-series data with Markov depth.
― 5 min read
Learn techniques for estimating missing values in stationary stochastic sequences.
― 5 min read
A two-stage testing approach simplifies interactions among numerous genetic variables.
― 5 min read
Examining the role of robustness in estimating unknown distributions from samples.
― 6 min read
Exploring the role of structured tensor priors in improving data estimates.
― 4 min read
Discover the basics of learning Dynamic Bayesian Networks from data.
― 5 min read
A method for effective analysis of high-dimensional tensor factor models in finance.
― 6 min read
CHCDS improves prediction accuracy without data partitioning.
― 5 min read
This article examines the significance of maxima and the spacing test in Gaussian random fields.
― 5 min read
A look into how eigenmaps improve data analysis through effective scaling.
― 6 min read
A new method boosts generative models' performance even with scarce training data.
― 6 min read
A look at how transformations impact mean and covariance in data analysis.
― 6 min read
A study on balancing transfer learning and individual privacy in data usage.
― 6 min read
Innovative methods to analyze extreme values in weather and environmental data.
― 6 min read
BART is a powerful tool for predicting outcomes in various fields.
― 5 min read
A look at models for related survival times and competing risks.
― 5 min read
Two innovative methods offer insights into system aging and reliability.
― 5 min read
Proper scoring rules enhance the evaluation of probabilistic forecasts across various fields.
― 7 min read
NCP simplifies learning conditional probabilities for better decision-making across fields.
― 7 min read
A look at model evaluation methods and their effectiveness.
― 5 min read
A look at structured covariance matrices and their role in analyzing variable relationships.
― 6 min read
Exploring the impact of sparse random projections on high-dimensional data analysis.
― 4 min read
A detailed look at clustering methods and their definitions.
― 6 min read
Discover simplified methods for calculating cross-partial derivatives in complex functions.
― 5 min read
Research on neural networks reveals behaviors of heavy-tailed distributions.
― 8 min read
Introducing a novel filtering technique for non-Gaussian systems.
― 6 min read
A new method addresses privacy challenges in estimating U-statistics accurately.
― 4 min read
A look into Symbolic Data Analysis and its use in various fields.
― 6 min read
A look at random variables and Markov chains across various fields.
― 5 min read
This study focuses on estimating the regularity index for discrete Pareto distributions.
― 4 min read