Cross-covariance

Formal sciences
Statistics
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Time series

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Geostatistics: Analyzing Spatial Data Structures

Covers geostatistics, focusing on spatial data types and their analysis methods.

Time Series: Linear Filtering and Spectral Estimation

Explores linear filtering, spectral estimation, and second-order stationarity in time series analysis.

Mutual Information in Biological Data

Explores mutual information in biological data, emphasizing its role in quantifying statistical dependence and analyzing protein sequences.

Probability and Statistics

Covers probability, statistics, independence, covariance, correlation, and random variables.

Inflationary Magnetogenesis: Primordial Curvature Perturbations and Magnetic Fields

Covers the relationship between primordial curvature perturbations and inflationary magnetic fields, emphasizing observational evidence and theoretical models.

Quantifying Statistical Dependence

Delves into quantifying statistical dependence through covariance, correlation, and mutual information.

Functional Factor Models: Forecasting Mortality Curves in Japan

Explores high-dimensional functional factor models for forecasting mortality curves in Japan, discussing estimation, consistency, and application.

Elements of Statistics: Estimation & Distributions

Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.

Mutual Information: Continued

Explores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.

Dependence and Correlation

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.