41554 blogs · [ { "id": "01a08774-608b-7173-961c-d19f9a415e17", "title": "Motivation for the Smoothed Bootstrap", "url": "https://eranraviv.com/smoothed-bootstrap/", "published_at": "2026-08-13T09:43:24+00:00" }, { "id": "01a08774-608b-7173-961c-d19f9adabaa7", "title": "Covariance Estimation for Wide Data – published", "url": "https://eranraviv.com/covariance-estimation-for-wide-data/", "published_at": "2026-06-24T14:55:27+00:00" }, { "id": "01a08774-608b-7173-961c-d19f9b0a3036", "title": "Fairness in machine learning: Equalized Odds", "url": "https://eranraviv.com/fairness-machine-learning-equalized-odds/", "published_at": "2026-05-26T12:17:53+00:00" }, { "id": "01a08774-608b-7173-961c-d19f9b8e2689", "title": "Correlation and Correlation Structure (11) – Estimation using Random Matrix Theory", "url": "https://eranraviv.com/correlation-correlation-structure-11-estimation-using-random-matrix-theory/", "published_at": "2026-01-23T10:33:11+00:00" }, { "id": "01a08774-608b-7173-961c-d19f9bdcad87", "title": "Most popular posts – 2025", "url": "https://eranraviv.com/popular-posts-2025/", "published_at": "2025-12-31T10:42:50+00:00" }, { "id": "01a0c50b-4c27-7350-9c30-1eec2bb081e0", "title": "Correlation and correlation structure (10) – Inverse Covariance", "url": "https://eranraviv.com/correlation-correlation-structure-10-inverse-covariance/", "published_at": "2025-09-29T08:24:28+00:00" }, { "id": "01a0c50b-4c27-7350-9c30-1eec2bce087f", "title": "Dot Product in the Attention Mechanism", "url": "https://eranraviv.com/dot-product-attention-mechanism/", "published_at": "2025-07-28T19:38:36+00:00" }, { "id": "01a0c50b-4c27-7350-9c30-1eec2c4b576f", "title": "Understanding Word Embeddings (2) – Geometry", "url": "https://eranraviv.com/understanding-word-embeddings-2-geometry/", "published_at": "2025-06-02T17:32:02+00:00" }, { "id": "01a0c50b-4c27-7350-9c30-1eec2d093ed7", "title": "Understanding Word Embeddings (1) – Algebra", "url": "https://eranraviv.com/understanding-word-embeddings-1-algebra/", "published_at": "2025-05-07T08:07:28+00:00" }, { "id": "01a0c50b-4c27-7350-9c30-1eec2d96f350", "title": "Correlation and correlation structure (9) – Parallelizing Matrix Computation", "url": "https://eranraviv.com/correlation-correlation-structure-9-parallelizing-matrix-computation/", "published_at": "2025-04-13T16:01:37+00:00" }, { "id": "01a0c51b-0ccb-72eb-a2f0-4e89eca75399", "title": "Named One of the Best Statistics Websites for 2025", "url": "https://eranraviv.com/named-one-best-statistics-websites-2025/", "published_at": "2025-03-30T19:44:59+00:00" }, { "id": "01a0c51b-0ccb-72eb-a2f0-4e89ed8b992b", "title": "Nonstandard errors?", "url": "https://eranraviv.com/nonstandard-errors/", "published_at": "2025-02-14T12:01:45+00:00" }, { "id": "01a0c51b-0ccb-72eb-a2f0-4e89ee439572", "title": "AI models are NOT biased", "url": "https://eranraviv.com/ai-models-are-never-biased/", "published_at": "2024-06-11T16:03:07+00:00" }, { "id": "01a0c51b-0ccb-72eb-a2f0-4e89ee698b0f", "title": "Correlation and correlation structure (8) – the precision matrix", "url": "https://eranraviv.com/correlation-correlation-structure-8-precision-matrix/", "published_at": "2024-06-06T12:44:44+00:00" }, { "id": "01a0c51b-0ccb-72eb-a2f0-4e89eef156fc", "title": "Correlation and correlation structure (7) – Chatterjee’s rank correlation", "url": "https://eranraviv.com/correlation-correlation-structure-7-chatterjees-rank-correlation/", "published_at": "2024-03-20T11:35:26+00:00" }, { "id": "01a0c526-2242-7000-b73f-b63b61483408", "title": "On Writing", "url": "https://eranraviv.com/thesis-writing-tips/", "published_at": "2024-01-23T17:31:34+00:00" }, { "id": "01a0c526-2243-7033-96f7-d92d425d07cd", "title": "Matrix Multiplication as a Linear Transformation", "url": "https://eranraviv.com/matrix-multiplication-linear-transformation/", "published_at": "2024-01-17T17:03:35+00:00" }, { "id": "01a0c526-2243-7033-96f7-d92d427b1015", "title": "Most popular posts – 2023", "url": "https://eranraviv.com/popular-posts-2023/", "published_at": "2024-01-02T11:32:16+00:00" }, { "id": "01a0c526-2243-7033-96f7-d92d42eed9c0", "title": "Randomized Matrix Multiplication", "url": "https://eranraviv.com/randomized-matrix-multiplication/", "published_at": "2023-12-14T09:18:49+00:00" }, { "id": "01a0c526-2243-7033-96f7-d92d4364af27", "title": "Statistical Shrinkage (4) – Covariance estimation", "url": "https://eranraviv.com/statistical-shrinkage-4-covariance-estimation/", "published_at": "2023-11-29T15:37:40+00:00" }, { "id": "01a0c531-6f70-7021-98af-a288b2f0147b", "title": "Statistical Shrinkage (3)", "url": "https://eranraviv.com/statistical-shrinkage-3/", "published_at": "2023-11-18T10:16:42+00:00" }, { "id": "01a0c531-6f70-7021-98af-a288b3b5a703", "title": "Rython tips and tricks – Clipboard", "url": "https://eranraviv.com/rython-tips-tricks-clipboard/", "published_at": "2023-08-23T18:25:33+00:00" }, { "id": "01a0c531-6f70-7021-98af-a288b48c1eb0", "title": "Statistical Shrinkage (2)", "url": "https://eranraviv.com/statistical-shrinkage-2/", "published_at": "2023-08-06T14:13:04+00:00" }, { "id": "01a0c531-6f70-7021-98af-a288b4be8733", "title": "From Excel to Script? Add Browsing Points", "url": "https://eranraviv.com/from-excel-to-script-what-for/", "published_at": "2023-08-01T08:53:47+00:00" }, { "id": "01a0c531-6f70-7021-98af-a288b4f2134e", "title": "Rython tips and tricks – Snippets", "url": "https://eranraviv.com/rython-tips-tricks-snippets/", "published_at": "2023-04-23T10:21:41+00:00" }, { "id": "01a0c53b-7be9-7216-9151-353aa0901359", "title": "Trees 1 – 0 Neural Networks", "url": "https://eranraviv.com/trees-1-0-neural-networks/", "published_at": "2023-01-16T06:32:55+00:00" }, { "id": "01a0c53b-7be9-7216-9151-353aa0b4ebb9", "title": "Most popular posts – 2022", "url": "https://eranraviv.com/popular-posts-2022/", "published_at": "2023-01-02T21:28:18+00:00" }, { "id": "01a0c53b-7be9-7216-9151-353aa103b88e", "title": "Beware of Spurious Factors", "url": "https://eranraviv.com/spurious-factors/", "published_at": "2022-12-13T07:49:14+00:00" }, { "id": "01a0c53b-7be9-7216-9151-353aa1750ffe", "title": "Understanding Convolutional Neural Networks", "url": "https://eranraviv.com/understanding-convolutional-neural-networks/", "published_at": "2022-10-10T19:27:30+00:00" }, { "id": "01a0c53b-7be9-7216-9151-353aa20c4d90", "title": "R tips and tricks – get the gist", "url": "https://eranraviv.com/r-tips-and-tricks-get-the-gist/", "published_at": "2022-10-01T09:03:39+00:00" }, { "id": "01a0c544-9284-714f-95f0-ca473fdde02f", "title": "Correlation and Correlation Structure (6) – Distance Correlation", "url": "https://eranraviv.com/correlation-correlation-structure-6-distance-correlation/", "published_at": "2022-08-15T19:34:08+00:00" }, { "id": "01a0c544-9284-714f-95f0-ca473fef9abe", "title": "On Writing Math", "url": "https://eranraviv.com/writing-math/", "published_at": "2022-07-21T13:12:51+00:00" }, { "id": "01a0c544-9284-714f-95f0-ca4740e77d99", "title": "R Packages Download Stats", "url": "https://eranraviv.com/r-packages-download-stats/", "published_at": "2022-05-26T17:06:26+00:00" }, { "id": "01a0c544-9284-714f-95f0-ca4741d60e34", "title": "Similarity and Dissimilarity Metrics – Kernel Distance", "url": "https://eranraviv.com/similarity-dissimilarity-metrics-kernel-distance/", "published_at": "2022-05-04T10:12:27+00:00" }, { "id": "01a0c544-9284-714f-95f0-ca4741f89445", "title": "Hyper-Parameter Optimization using Random Search", "url": "https://eranraviv.com/hyper-parameter-optimization-using-random-search/", "published_at": "2022-03-03T19:55:16+00:00" }, { "id": "01a0c54d-4717-7311-9c6b-75cb7fcfbea5", "title": "What is the Kernel Trick?", "url": "https://eranraviv.com/what-is-the-kernel-trick/", "published_at": "2022-02-20T14:26:51+00:00" }, { "id": "01a0c54d-4717-7311-9c6b-75cb7ff5b0cd", "title": "Local Linear Forests", "url": "https://eranraviv.com/local-linear-forests/", "published_at": "2022-01-23T18:13:19+00:00" }, { "id": "01a0c54d-4717-7311-9c6b-75cb80c50b57", "title": "Most popular posts – 2021", "url": "https://eranraviv.com/popular-posts-2021/", "published_at": "2022-01-04T11:04:37+00:00" }, { "id": "01a0c54d-4717-7311-9c6b-75cb8178bf22", "title": "Publication in Significance – code", "url": "https://eranraviv.com/publication-significance-code/", "published_at": "2021-12-19T16:38:04+00:00" }, { "id": "01a0c54d-4717-7311-9c6b-75cb81f7dba2", "title": "A New Parameterization of Correlation Matrices", "url": "https://eranraviv.com/new-parameterization-correlation-matrices/", "published_at": "2021-10-22T18:34:36+00:00" }, { "id": "01a0c555-c580-73e7-8351-c29f8e6f17a2", "title": "What’s the big idea? Deep learning algorithms", "url": "https://eranraviv.com/whats-big-idea-deep-learning-algorithms/", "published_at": "2021-10-06T12:54:17+00:00" }, { "id": "01a0c555-c581-731d-a8af-70947e0f61f3", "title": "Bootstrap Standard Error Estimates – good news", "url": "https://eranraviv.com/bootstrap-standard-error-estimates-good-news/", "published_at": "2021-08-22T07:31:12+00:00" }, { "id": "01a0c555-c581-731d-a8af-70947e62f8e0", "title": "Asking Good Questions", "url": "https://eranraviv.com/asking-good-questions/", "published_at": "2021-07-27T17:47:24+00:00" }, { "id": "01a0c555-c581-731d-a8af-70947e88c011", "title": "R tips and tricks – shell.exec", "url": "https://eranraviv.com/r-tips-tricks-shell-exec/", "published_at": "2021-07-20T13:04:02+00:00" }, { "id": "01a0c555-c581-731d-a8af-70947f441e21", "title": "Bayesian vs. Frequentist in Practice, part 3", "url": "https://eranraviv.com/bayesian-vs-frequentist-in-practice-part-3/", "published_at": "2021-06-28T11:49:32+00:00" }, { "id": "01a0c55e-0417-70c5-a233-b5c4ba0e9df9", "title": "Random forest importance measures are NOT important", "url": "https://eranraviv.com/random-forest-importance-measures-are-not-important/", "published_at": "2021-05-16T15:44:10+00:00" }, { "id": "01a0c55e-0417-70c5-a233-b5c4baa47d04", "title": "R tips and tricks – readClipboard", "url": "https://eranraviv.com/r-tips-tricks-readclipboard/", "published_at": "2021-04-29T20:55:45+00:00" }, { "id": "01a0c55e-0417-70c5-a233-b5c4bb5c413d", "title": "Beta in the tails", "url": "https://eranraviv.com/beta-in-the-tails/", "published_at": "2021-04-18T10:44:08+00:00" }, { "id": "01a0c55e-0417-70c5-a233-b5c4bba942dc", "title": "How flexible neural networks really are?", "url": "https://eranraviv.com/flexible-neural-networks-really/", "published_at": "2021-03-22T20:45:55+00:00" }, { "id": "01a0c55e-0417-70c5-a233-b5c4bbe97031", "title": "Correlation and correlation structure (5) – a new coefficient of correlation", "url": "https://eranraviv.com/correlation-and-correlation-structure-5-a-new-coefficient-correlation/", "published_at": "2021-02-24T19:36:41+00:00" }, { "id": "01a0c566-6470-7053-8798-7da6cbed3f82", "title": "Understanding Variance Explained in PCA – Matrix Approximation", "url": "https://eranraviv.com/understanding-variance-explained-in-pca-matrix-approximation/", "published_at": "2021-02-02T20:17:38+00:00" }, { "id": "01a0c566-6470-7053-8798-7da6cc0e8eba", "title": "R tips and tricks – Timing and profiling code", "url": "https://eranraviv.com/r-tips-tricks-timing-profiling-code/", "published_at": "2021-01-17T11:40:49+00:00" }, { "id": "01a0c566-6470-7053-8798-7da6ccf014e5", "title": "Most popular posts – 2020", "url": "https://eranraviv.com/popular-posts-2020/", "published_at": "2020-12-30T18:48:04+00:00" }, { "id": "01a0c566-6470-7053-8798-7da6cdad3748", "title": "Why complex models are data-hungry?", "url": "https://eranraviv.com/complex-models-data-hungry/", "published_at": "2020-11-19T12:06:54+00:00" }, { "id": "01a0c566-6470-7053-8798-7da6cddb0062", "title": "Correlation and correlation structure (4) – asymmetric correlations of equity portfolios", "url": "https://eranraviv.com/correlation-correlation-structure-4-asymmetric-correlations-equity-portfolios/", "published_at": "2020-10-22T17:04:34+00:00" }, { "id": "01a0c56d-6f12-7374-a7c6-f1b03e5193b9", "title": "Understanding Spectral Clustering", "url": "https://eranraviv.com/understanding-spectral-clustering/", "published_at": "2020-09-20T18:47:14+00:00" }, { "id": "01a0c56d-6f12-7374-a7c6-f1b03ea0896c", "title": "Boundary corrected kernel density", "url": "https://eranraviv.com/boundary-corrected-kernel-density/", "published_at": "2020-07-30T18:08:36+00:00" }, { "id": "01a0c56d-6f12-7374-a7c6-f1b03f4c0660", "title": "R + Python = Rython", "url": "https://eranraviv.com/r-python-rython/", "published_at": "2020-07-05T20:31:20+00:00" }, { "id": "01a0c56d-6f12-7374-a7c6-f1b03f64cbc3", "title": "R tips and tricks, on-screen colors", "url": "https://eranraviv.com/r-tips-tricks-screen-colors/", "published_at": "2020-06-28T12:57:22+00:00" }, { "id": "01a0c56d-6f12-7374-a7c6-f1b0400472fe", "title": "R tips and tricks – utilities", "url": "https://eranraviv.com/r-tips-tricks-utilities/", "published_at": "2020-06-16T20:51:08+00:00" }, { "id": "01a0c578-7e98-7129-bc81-9fc0ea47dfe2", "title": "Machine learning is simply statistics – part 2", "url": "https://eranraviv.com/machine-learning-simply-statistics-part-2/", "published_at": "2020-06-02T11:36:00+00:00" }, { "id": "01a0c578-7e98-7129-bc81-9fc0eaa59afd", "title": "Curse of Dimensionality part 4: Distance Metrics", "url": "https://eranraviv.com/curse-dimensionality-part-4-distance-metrics/", "published_at": "2020-04-15T08:02:51+00:00" }, { "id": "01a0c578-7e98-7129-bc81-9fc0eb62c70a", "title": "R tips and tricks – Paste a plot from R to a word file", "url": "https://eranraviv.com/r-tips-and-tricks-paste-a-plot-from-r-to-a-word-file/", "published_at": "2020-03-01T09:11:58+00:00" }, { "id": "01a0c578-7e98-7129-bc81-9fc0eb757eaf", "title": "Understanding Pointwise Mutual Information in Statistics", "url": "https://eranraviv.com/understanding-pointwise-mutual-information-in-statistics/", "published_at": "2020-01-26T17:27:53+00:00" }, { "id": "01a0c578-7e98-7129-bc81-9fc0ec7112f9", "title": "Most popular posts – 2019", "url": "https://eranraviv.com/most-popular-posts-2019/", "published_at": "2020-01-05T18:04:14+00:00" }, { "id": "01a0c586-48cd-7016-8f1d-887a3ad47f97", "title": "CUR matrix decomposition for improved data analysis", "url": "https://eranraviv.com/cur-matrix-decomposition-for-improved-data-analysis/", "published_at": "2019-10-20T07:14:07+00:00" }, { "id": "01a0c586-48ce-7027-b1fd-7803e365dd0a", "title": "Forecast Combination talk", "url": "https://eranraviv.com/forecast-combination-talk/", "published_at": "2019-09-20T08:37:44+00:00" }, { "id": "01a0c586-48ce-7027-b1fd-7803e3a0983a", "title": "Understanding Variance Explained in PCA", "url": "https://eranraviv.com/understanding-variance-explained-in-pca/", "published_at": "2019-09-04T21:29:33+00:00" }, { "id": "01a0c586-48ce-7027-b1fd-7803e47801e3", "title": "Robust Moving Average", "url": "https://eranraviv.com/robust-moving-average/", "published_at": "2019-08-01T21:03:46+00:00" }, { "id": "01a0c586-48ce-7027-b1fd-7803e50fdf1b", "title": "Forecast Combination in R – slides", "url": "https://eranraviv.com/forecast-combination-r-slides/", "published_at": "2019-07-14T17:59:29+00:00" }, { "id": "01a0c594-407f-72c1-b6e0-d6a3b759cfe2", "title": "The Distribution of the Sample Maximum", "url": "https://eranraviv.com/distribution-sample-maximum/", "published_at": "2019-06-25T17:38:58+00:00" }, { "id": "01a0c594-407f-72c1-b6e0-d6a3b7ace568", "title": "Portfolio Construction Tilting towards Higher Moments", "url": "https://eranraviv.com/portfolio-construction-tilting-towards-higher-moments/", "published_at": "2019-06-10T13:04:23+00:00" }, { "id": "01a0c594-407f-72c1-b6e0-d6a3b7d8163d", "title": "Adaptive Huber Regression", "url": "https://eranraviv.com/adaptive-huber-regression/", "published_at": "2019-05-19T10:14:43+00:00" }, { "id": "01a0c594-407f-72c1-b6e0-d6a3b8161910", "title": "Intuitive Explanation of Entropy in Statistics", "url": "https://eranraviv.com/intuitive-explanation-of-entropy/", "published_at": "2019-04-24T18:32:27+00:00" }, { "id": "01a0c594-407f-72c1-b6e0-d6a3b873b92c", "title": "Matrix-style screensaver in R", "url": "https://eranraviv.com/matrix-style-screensaver-in-r/", "published_at": "2019-03-31T10:48:33+00:00" } ] posts Claim your blog

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2026

Motivation for the Smoothed Bootstrap original ↗

13 Aug 2026

Covariance Estimation for Wide Data – published original ↗

24 Jun 2026

Fairness in machine learning: Equalized Odds original ↗

26 May 2026

Correlation and Correlation Structure (11) – Estimation using Random Matrix Theory original ↗

23 Jan 2026

2025

Most popular posts – 2025 original ↗

31 Dec 2025

Correlation and correlation structure (10) – Inverse Covariance original ↗

29 Sept 2025

Dot Product in the Attention Mechanism original ↗

28 Jul 2025

Understanding Word Embeddings (2) – Geometry original ↗

2 Jun 2025

Understanding Word Embeddings (1) – Algebra original ↗

7 May 2025

Correlation and correlation structure (9) – Parallelizing Matrix Computation original ↗

13 Apr 2025

Named One of the Best Statistics Websites for 2025 original ↗

30 Mar 2025

Nonstandard errors?original ↗

14 Feb 2025

2024

AI models are NOT biased original ↗

11 Jun 2024

Correlation and correlation structure (8) – the precision matrix original ↗

6 Jun 2024

Correlation and correlation structure (7) – Chatterjee’s rank correlation original ↗

20 Mar 2024

On Writing original ↗

23 Jan 2024

Matrix Multiplication as a Linear Transformation original ↗

17 Jan 2024

Most popular posts – 2023 original ↗

2 Jan 2024

2023

Randomized Matrix Multiplication original ↗

14 Dec 2023

Statistical Shrinkage (4) – Covariance estimation original ↗

29 Nov 2023

Statistical Shrinkage (3)original ↗

18 Nov 2023

Rython tips and tricks – Clipboard original ↗

23 Aug 2023

Statistical Shrinkage (2)original ↗

6 Aug 2023

From Excel to Script? Add Browsing Points original ↗

1 Aug 2023

Rython tips and tricks – Snippets original ↗

23 Apr 2023

Trees 1 – 0 Neural Networks original ↗

16 Jan 2023

Most popular posts – 2022 original ↗

2 Jan 2023

2022

Beware of Spurious Factors original ↗

13 Dec 2022

Understanding Convolutional Neural Networks original ↗

10 Oct 2022

R tips and tricks – get the gist original ↗

1 Oct 2022

Correlation and Correlation Structure (6) – Distance Correlation original ↗

15 Aug 2022

On Writing Math original ↗

21 Jul 2022

R Packages Download Stats original ↗

26 May 2022

Similarity and Dissimilarity Metrics – Kernel Distance original ↗

4 May 2022

Hyper-Parameter Optimization using Random Search original ↗

3 Mar 2022

What is the Kernel Trick?original ↗

20 Feb 2022

Local Linear Forests original ↗

23 Jan 2022

Most popular posts – 2021 original ↗

4 Jan 2022

2021

Publication in Significance – code original ↗

19 Dec 2021

A New Parameterization of Correlation Matrices original ↗

22 Oct 2021

What’s the big idea? Deep learning algorithms original ↗

6 Oct 2021

Bootstrap Standard Error Estimates – good news original ↗

22 Aug 2021

Asking Good Questions original ↗

27 Jul 2021

R tips and tricks – shell.exec original ↗

20 Jul 2021

Bayesian vs. Frequentist in Practice, part 3 original ↗

28 Jun 2021

Random forest importance measures are NOT important original ↗

16 May 2021

R tips and tricks – readClipboard original ↗

29 Apr 2021

Beta in the tails original ↗

18 Apr 2021

How flexible neural networks really are?original ↗

22 Mar 2021

Correlation and correlation structure (5) – a new coefficient of correlation original ↗

24 Feb 2021

Understanding Variance Explained in PCA – Matrix Approximation original ↗

2 Feb 2021

R tips and tricks – Timing and profiling code original ↗

17 Jan 2021

2020

Most popular posts – 2020 original ↗

30 Dec 2020

Why complex models are data-hungry?original ↗

19 Nov 2020

Correlation and correlation structure (4) – asymmetric correlations of equity portfolios original ↗

22 Oct 2020

Understanding Spectral Clustering original ↗

20 Sept 2020

Boundary corrected kernel density original ↗

30 Jul 2020

R + Python = Rython original ↗

5 Jul 2020

R tips and tricks, on-screen colors original ↗

28 Jun 2020

R tips and tricks – utilities original ↗

16 Jun 2020

Machine learning is simply statistics – part 2 original ↗

2 Jun 2020

Curse of Dimensionality part 4: Distance Metrics original ↗

15 Apr 2020

R tips and tricks – Paste a plot from R to a word file original ↗

1 Mar 2020

Understanding Pointwise Mutual Information in Statistics original ↗

26 Jan 2020

Most popular posts – 2019 original ↗

5 Jan 2020

2019

CUR matrix decomposition for improved data analysis original ↗

20 Oct 2019

Forecast Combination talk original ↗

20 Sept 2019

Understanding Variance Explained in PCA original ↗

4 Sept 2019

Robust Moving Average original ↗

1 Aug 2019

Forecast Combination in R – slides original ↗

14 Jul 2019

The Distribution of the Sample Maximum original ↗

25 Jun 2019

Portfolio Construction Tilting towards Higher Moments original ↗

10 Jun 2019

Adaptive Huber Regression original ↗

19 May 2019

Intuitive Explanation of Entropy in Statistics original ↗

24 Apr 2019

Matrix-style screensaver in R original ↗

31 Mar 2019