Tania OsadchaCovariance structures in Mixed ModelsCovariance structure in mixed models describes the variance-covariance matrix of dependent variable Y¹. When dealing with a hierarchical…May 21
Sachin DateinTowards Data ScienceIntroducing the White’s Heteroskedasticity Consistent EstimatorAn introduction to the HC estimator, and its importance in building effective regression models in the face of heteroskedasticitySep 27, 2022
Karen Grace-MartinCovariance Matrices, Covariance Structures, and Bears, Oh My!Of all the concepts I see researchers struggle with as they start to learn high-level statistics, the one that seems to most often elicit…Jan 17Jan 17
Dr. Walid SoulainArtificial Intelligence in Plain EnglishCovariance MatrixUnlock data insights with covariance matrices. Identify patterns & make informed decisions.May 14May 14
Esra OzaydinPre-processing Sentinel-1 SLC Image in SNAPThis blog post is meant to give you generating covariance matrix [C2] in the SeNtinel Application Platform (SNAP) toolbox. It consists of 4…Nov 22, 20231Nov 22, 20231
Tania OsadchaCovariance structures in Mixed ModelsCovariance structure in mixed models describes the variance-covariance matrix of dependent variable Y¹. When dealing with a hierarchical…May 21
Sachin DateinTowards Data ScienceIntroducing the White’s Heteroskedasticity Consistent EstimatorAn introduction to the HC estimator, and its importance in building effective regression models in the face of heteroskedasticitySep 27, 2022
Karen Grace-MartinCovariance Matrices, Covariance Structures, and Bears, Oh My!Of all the concepts I see researchers struggle with as they start to learn high-level statistics, the one that seems to most often elicit…Jan 17
Dr. Walid SoulainArtificial Intelligence in Plain EnglishCovariance MatrixUnlock data insights with covariance matrices. Identify patterns & make informed decisions.May 14
Esra OzaydinPre-processing Sentinel-1 SLC Image in SNAPThis blog post is meant to give you generating covariance matrix [C2] in the SeNtinel Application Platform (SNAP) toolbox. It consists of 4…Nov 22, 20231
Mirko PetersinMirko Peters — Data & Analytics BlogTransform Your Machine Learning Projects with Principal Component Analysis: The Ultimate Guide!Dive deep into the core of machine learning with this comprehensive guide on Principal Component Analysis (PCA), the game-changing…Mar 27
Sachin DateinTowards Data ScienceAn Illustrated Guide to The Variance-Covariance Matrices Used In Regression AnalysisAn explanation of how an artifact that is fundamental to regression modeling is constructed, using a real-world data setMar 21, 20221
Karina IonkinaPrincipal Component Analysis (PCA)Next time somebody calls you one-dimensional, remember the curse of dimensionality and thank them for the compliment.Feb 21
