corpus.blog
41554 blogs · [ { "id": "01a08720-5969-7222-a445-8ff996a58336", "title": "Design-Based Inference and Sensitivity Analysis for Survey Sampling", "url": "https://www.adventuresinwhy.com/post/survey_sampling/", "published_at": "2025-05-23T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9978c067b", "title": "Principal Stratification and Mediation", "url": "https://www.adventuresinwhy.com/post/principal_strata/", "published_at": "2025-01-05T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9985ccb68", "title": "Interpretable and Validatable Uplift Modeling", "url": "https://www.adventuresinwhy.com/post/trickle_down_method/", "published_at": "2024-06-15T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9990cfee2", "title": "Modes of Inference in Randomized Experiments", "url": "https://www.adventuresinwhy.com/post/modes_of_inference/", "published_at": "2024-01-13T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff999456d09", "title": "Sensitivity Analysis for Matched Sets with One Treated Unit", "url": "https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_sets/", "published_at": "2023-12-29T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99a2549e8", "title": "Sensitivity Analysis for Matched Pairs", "url": "https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_pairs/", "published_at": "2023-11-03T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99a8f35fe", "title": "Attributable Effects", "url": "https://www.adventuresinwhy.com/post/attributable-effects/", "published_at": "2023-07-29T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99ac02bb5", "title": "The Reasoned Basis for Inference in Experiments", "url": "https://www.adventuresinwhy.com/post/reasoned-basis-inference/", "published_at": "2023-06-04T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99b72a59f", "title": "Beyond A/B Testing: Getting More from Experiments", "url": "https://www.adventuresinwhy.com/talk/beyond-ab-testing/", "published_at": "2023-05-03T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99baea9c7", "title": "Tests with One-Sided Noncompliance", "url": "https://www.adventuresinwhy.com/post/instrumental_variables/", "published_at": "2023-02-26T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99c0a5d2b", "title": "Eglot+Tree-Sitter in Emacs 29", "url": "https://www.adventuresinwhy.com/post/eglot/", "published_at": "2023-02-20T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99cd9789d", "title": "Compiling Emacs 29 With Tree-Sitter", "url": "https://www.adventuresinwhy.com/post/compiling-emacs-with-tree-sitter/", "published_at": "2023-02-08T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99d6888c7", "title": "User Segmentation from Heterogeneous Treatment Effects", "url": "https://www.adventuresinwhy.com/post/user_segmentation/", "published_at": "2022-02-21T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99dd9a883", "title": "Heterogeneous Treatment Effect Estimation: Function Approximation", "url": "https://www.adventuresinwhy.com/post/hte_function_approximation/", "published_at": "2022-01-10T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99e4a918b", "title": "Thoughts on Models with Regularization", "url": "https://www.adventuresinwhy.com/post/models_with_regularization/", "published_at": "2022-01-07T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99e64074f", "title": "The Winner's Curse: Why it Happens and What to Do About It", "url": "https://www.adventuresinwhy.com/post/point_estimates/", "published_at": "2022-01-04T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99ed7c2b6", "title": "Reflections on 2021 and Interests Going Into 2022", "url": "https://www.adventuresinwhy.com/post/reflections_2021/", "published_at": "2022-01-01T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff99fa4bcb4", "title": "Robust Portfolio Optimization in Models with Diminishing Returns", "url": "https://www.adventuresinwhy.com/post/robust_portfolio_optimization_diminishing_returns/", "published_at": "2021-12-28T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a077c59c", "title": "Robust Portfolio Optimization in Generalized Linear Models", "url": "https://www.adventuresinwhy.com/post/robust_portfolio_optimization_glm/", "published_at": "2021-12-24T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a1248b29", "title": "Focus on Iteration Speed", "url": "https://www.adventuresinwhy.com/post/focus_on_iteration_speed/", "published_at": "2021-11-18T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a21f2442", "title": "The Alternative to Causal Inference is Worse Causal Inference", "url": "https://www.adventuresinwhy.com/post/alternative_to_causal_inference/", "published_at": "2021-10-10T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a2dfacdd", "title": "Bayesian A/B Testing Considered Harmful", "url": "https://www.adventuresinwhy.com/post/bayesian_ab_testing/", "published_at": "2021-09-26T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a3d4cef5", "title": "Edgeworth Series in Python", "url": "https://www.adventuresinwhy.com/post/edgeworth_series/", "published_at": "2021-09-12T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a43d1482", "title": "Testing with Many Variants", "url": "https://www.adventuresinwhy.com/post/testing_with_many_variants/", "published_at": "2021-09-05T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a4cb767a", "title": "Robust Power Assessment", "url": "https://www.adventuresinwhy.com/post/robust_power_assessment/", "published_at": "2021-08-12T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a59c030c", "title": "Scheffe's Method for Multiple Comparisons", "url": "https://www.adventuresinwhy.com/post/scheffes_method/", "published_at": "2021-08-01T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a622dc81", "title": "Supervised Learning as Function Approximation", "url": "https://www.adventuresinwhy.com/post/supervised-learning-as-function-approximation/", "published_at": "2021-05-15T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a6c838f1", "title": "Naive Comparisons Under Endogeneity", "url": "https://www.adventuresinwhy.com/post/endongeneity/", "published_at": "2021-02-28T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a7c0cc94", "title": "Advice for Early Career Data Scientists", "url": "https://www.adventuresinwhy.com/post/advice-for-early-career-data-scientists/", "published_at": "2021-01-24T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a8b82190", "title": "Multiple Comparisons", "url": "https://www.adventuresinwhy.com/post/multiple-comparisons/", "published_at": "2021-01-23T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a9697982", "title": "Violations of the Stable Unit Treatment Value Assumption", "url": "https://www.adventuresinwhy.com/post/sutva/", "published_at": "2021-01-10T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a96a1e5e", "title": "2020: My Year in Emacs", "url": "https://www.adventuresinwhy.com/post/year-in-emacs/", "published_at": "2021-01-01T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9a96ac0a9", "title": "Statistics and Machine Learning: Better Together!", "url": "https://www.adventuresinwhy.com/post/statistics-and-machine-learning/", "published_at": "2021-01-01T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9aa6836f2", "title": "Contingency Tables Part IV: The Score Test", "url": "https://www.adventuresinwhy.com/post/score_test/", "published_at": "2020-11-24T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ab51e4d7", "title": "Thoughts on Principal Components Analysis", "url": "https://www.adventuresinwhy.com/post/principal-components-analysis/", "published_at": "2020-11-14T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ab8c8c33", "title": "Sprinkle some Maximum Likelihood Estimation on that Contingency Table!", "url": "https://www.adventuresinwhy.com/post/contingency-tables-mle/", "published_at": "2020-11-08T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9abd02fce", "title": "Contingency Tables Part II: The Binomial Distribution", "url": "https://www.adventuresinwhy.com/post/contingency-tables-binomial-distribution/", "published_at": "2020-11-01T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ac3fe4e7", "title": "Contingency Tables Part I: The Potential Outcomes Framework", "url": "https://www.adventuresinwhy.com/post/contingency-tables-potential-outcomes/", "published_at": "2020-10-24T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ad2271ba", "title": "Unshackle Yourself from Statistical Significance", "url": "https://www.adventuresinwhy.com/post/unshackle-yourself-statistical-significance/", "published_at": "2020-10-12T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ad43ff0c", "title": "Commit Message Linting with Magit", "url": "https://www.adventuresinwhy.com/post/commit-message-linting/", "published_at": "2020-08-28T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ae403bdc", "title": "Viterbi Algorithm, Part 2: Decoding", "url": "https://www.adventuresinwhy.com/post/viterbi-algorithm-decoding/", "published_at": "2020-08-20T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9ae5acd00", "title": "Viterbi Algorithm, Part 1: Likelihood", "url": "https://www.adventuresinwhy.com/post/viterbi-algorithm-likelihood/", "published_at": "2020-08-18T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9af1ac963", "title": "Minimum Edit Distance", "url": "https://www.adventuresinwhy.com/post/minimum-edit-distance/", "published_at": "2020-08-17T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9afe7cdbd", "title": "Getting Things Done: Projects List and Next Actions", "url": "https://www.adventuresinwhy.com/post/next-actions/", "published_at": "2020-08-02T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9b07631bb", "title": "Spinning up PostgreSQL in Docker for Easy Analysis", "url": "https://www.adventuresinwhy.com/post/docker-postgres/", "published_at": "2020-07-25T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9b152498c", "title": "Timekeeping with Emacs and Org-Mode", "url": "https://www.adventuresinwhy.com/post/org-mode-timekeeping/", "published_at": "2020-07-06T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9b1d14b31", "title": "A/B Testing", "url": "https://www.adventuresinwhy.com/project/ab-testing/", "published_at": "2020-06-18T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9b29859a6", "title": "A/B Testing Best Practices", "url": "https://www.adventuresinwhy.com/post/ab-testing-best-practices/", "published_at": "2020-06-18T00:00:00+00:00" }, { "id": "01a08720-5969-7222-a445-8ff9b2a0745d", "title": "Getting Things Done", "url": "https://www.adventuresinwhy.com/post/getting-things-done/", "published_at": "2020-06-04T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6e9fbead62", "title": "Object Detection with Deep Learning", "url": "https://www.adventuresinwhy.com/post/computer-vision-yolo/", "published_at": "2020-06-02T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6e9fd7af01", "title": "Thoughts on the Coursera Deep Learning Specialization", "url": "https://www.adventuresinwhy.com/post/deep-learning-thoughts/", "published_at": "2020-05-22T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea0ca9933", "title": "Distribution of Local Minima in Deep Neural Networks", "url": "https://www.adventuresinwhy.com/post/local-minima-distribution/", "published_at": "2020-05-18T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea107dacb", "title": "Computer Vision Cheat Sheet", "url": "https://www.adventuresinwhy.com/post/computer-vision-cheatsheet/", "published_at": "2020-05-15T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea1de27e9", "title": "Deep Learning Checklist", "url": "https://www.adventuresinwhy.com/post/deep-learning-checklist/", "published_at": "2020-05-14T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea1e3f9d3", "title": "Repeatability", "url": "https://www.adventuresinwhy.com/post/repeatability/", "published_at": "2020-05-13T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea1eb92b4", "title": "gamdist", "url": "https://www.adventuresinwhy.com/publication/gamdist/", "published_at": "2019-06-01T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea20890c7", "title": "Optimal Experiment Design", "url": "https://www.adventuresinwhy.com/post/optimal-experiment-design/", "published_at": "2019-06-01T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea2ae7baa", "title": "Three Goals of Statistics: Description, Prediction, and Prescription", "url": "https://www.adventuresinwhy.com/post/descriptive/", "published_at": "2019-04-13T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea3881afa", "title": "Rotations, Orientations, and their Representations", "url": "https://www.adventuresinwhy.com/post/quaternions-and-rotations/", "published_at": "2019-01-09T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea3c6dd84", "title": "Confidence Intervals", "url": "https://www.adventuresinwhy.com/post/confidence-intervals/", "published_at": "2018-11-12T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea4bcb629", "title": "Rotational Axis Theorem (JIM)", "url": "https://www.adventuresinwhy.com/post/rotational-axis-theorem/", "published_at": "2018-08-18T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea519a860", "title": "Statistical Power", "url": "https://www.adventuresinwhy.com/post/ab-testing-power/", "published_at": "2018-06-19T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea521fc19", "title": "Counterfactuals and Causal Reasoning", "url": "https://www.adventuresinwhy.com/post/counterfactuals/", "published_at": "2018-05-26T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea5f9e202", "title": "Fisher's Exact Test", "url": "https://www.adventuresinwhy.com/post/ab-testing-fishers-exact-test/", "published_at": "2018-03-25T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea6d0d2c6", "title": "A/B Testing, Part 2: Statistical Significance", "url": "https://www.adventuresinwhy.com/post/ab-testing-statistical-significance/", "published_at": "2018-03-05T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea79cf994", "title": "A/B Testing, Part 1: Random Segmentation", "url": "https://www.adventuresinwhy.com/post/ab-testing-random-sampling/", "published_at": "2018-02-24T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea8907d6a", "title": "gamdist", "url": "https://www.adventuresinwhy.com/project/gamdist/", "published_at": "2018-02-24T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea92306ad", "title": "orbpy", "url": "https://www.adventuresinwhy.com/project/orbpy/", "published_at": "2018-02-23T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6ea9f945f3", "title": "Homebrew-Calc", "url": "https://www.adventuresinwhy.com/project/homebrew-calc/", "published_at": "2018-02-22T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eaa88ffd4", "title": "Unit Parser", "url": "https://www.adventuresinwhy.com/project/unit-parser/", "published_at": "2017-12-11T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eac717bfa", "title": "Star Identification via Computer Vision Techniques", "url": "https://www.adventuresinwhy.com/publication/star-identification/", "published_at": "2017-01-01T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eacfd0d18", "title": "A Discussion of Relativistic Phenomena and Construction of Spacetime Diagrams", "url": "https://www.adventuresinwhy.com/publication/special-relativity/", "published_at": "2017-01-01T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eaae51a74", "title": "Causal Inference and A/B Testing", "url": "https://www.adventuresinwhy.com/talk/ab-testing-interana/", "published_at": "2016-03-24T10:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eabb9a67f", "title": "Robust Orbit Determination via Convex Optimization", "url": "https://www.adventuresinwhy.com/publication/robust-orbit-determination/", "published_at": "2014-06-04T00:00:00+00:00" }, { "id": "01a08720-596a-7117-a994-0e6eac05f46d", "title": "ThankBeer: A Beer Recommendation Engine", "url": "https://www.adventuresinwhy.com/publication/thank-beer/", "published_at": "2012-12-04T00:00:00+00:00" } ] posts Claim your blog
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Blog · corpus.blog/blogs/adventuresinwhy.com/posts

adventuresinwhy.com

adventuresinwhy.com

2025

Design-Based Inference and Sensitivity Analysis for Survey Samplingoriginal ↗
23 May 2025
Principal Stratification and Mediationoriginal ↗
5 Jan 2025

2024

Interpretable and Validatable Uplift Modelingoriginal ↗
15 Jun 2024
Modes of Inference in Randomized Experimentsoriginal ↗
13 Jan 2024

2023

Sensitivity Analysis for Matched Sets with One Treated Unitoriginal ↗
29 Dec 2023
Sensitivity Analysis for Matched Pairsoriginal ↗
3 Nov 2023
Attributable Effectsoriginal ↗
29 Jul 2023
The Reasoned Basis for Inference in Experimentsoriginal ↗
4 Jun 2023
Beyond A/B Testing: Getting More from Experimentsoriginal ↗
3 May 2023
Tests with One-Sided Noncomplianceoriginal ↗
26 Feb 2023
Eglot+Tree-Sitter in Emacs 29original ↗
20 Feb 2023
Compiling Emacs 29 With Tree-Sitteroriginal ↗
8 Feb 2023

2022

User Segmentation from Heterogeneous Treatment Effectsoriginal ↗
21 Feb 2022
Heterogeneous Treatment Effect Estimation: Function Approximationoriginal ↗
10 Jan 2022
Thoughts on Models with Regularizationoriginal ↗
7 Jan 2022
The Winner's Curse: Why it Happens and What to Do About Itoriginal ↗
4 Jan 2022
Reflections on 2021 and Interests Going Into 2022original ↗
1 Jan 2022

2021

Robust Portfolio Optimization in Models with Diminishing Returnsoriginal ↗
28 Dec 2021
Robust Portfolio Optimization in Generalized Linear Modelsoriginal ↗
24 Dec 2021
Focus on Iteration Speedoriginal ↗
18 Nov 2021
The Alternative to Causal Inference is Worse Causal Inferenceoriginal ↗
10 Oct 2021
Bayesian A/B Testing Considered Harmfuloriginal ↗
26 Sept 2021
Edgeworth Series in Pythonoriginal ↗
12 Sept 2021
Testing with Many Variantsoriginal ↗
5 Sept 2021
Robust Power Assessmentoriginal ↗
12 Aug 2021
Scheffe's Method for Multiple Comparisonsoriginal ↗
1 Aug 2021
Supervised Learning as Function Approximationoriginal ↗
15 May 2021
Naive Comparisons Under Endogeneityoriginal ↗
28 Feb 2021
Advice for Early Career Data Scientistsoriginal ↗
24 Jan 2021
Multiple Comparisonsoriginal ↗
23 Jan 2021
Violations of the Stable Unit Treatment Value Assumptionoriginal ↗
10 Jan 2021
2020: My Year in Emacsoriginal ↗
1 Jan 2021
Statistics and Machine Learning: Better Together!original ↗
1 Jan 2021

2020

Contingency Tables Part IV: The Score Testoriginal ↗
24 Nov 2020
Thoughts on Principal Components Analysisoriginal ↗
14 Nov 2020
Sprinkle some Maximum Likelihood Estimation on that Contingency Table!original ↗
8 Nov 2020
Contingency Tables Part II: The Binomial Distributionoriginal ↗
1 Nov 2020
Contingency Tables Part I: The Potential Outcomes Frameworkoriginal ↗
24 Oct 2020
Unshackle Yourself from Statistical Significanceoriginal ↗
12 Oct 2020
Commit Message Linting with Magitoriginal ↗
28 Aug 2020
Viterbi Algorithm, Part 2: Decodingoriginal ↗
20 Aug 2020
Viterbi Algorithm, Part 1: Likelihoodoriginal ↗
18 Aug 2020
Minimum Edit Distanceoriginal ↗
17 Aug 2020
Getting Things Done: Projects List and Next Actionsoriginal ↗
2 Aug 2020
Spinning up PostgreSQL in Docker for Easy Analysisoriginal ↗
25 Jul 2020
Timekeeping with Emacs and Org-Modeoriginal ↗
6 Jul 2020
A/B Testingoriginal ↗
18 Jun 2020
A/B Testing Best Practicesoriginal ↗
18 Jun 2020
Getting Things Doneoriginal ↗
4 Jun 2020
Object Detection with Deep Learningoriginal ↗
2 Jun 2020
Thoughts on the Coursera Deep Learning Specializationoriginal ↗
22 May 2020
Distribution of Local Minima in Deep Neural Networksoriginal ↗
18 May 2020
Computer Vision Cheat Sheetoriginal ↗
15 May 2020
Deep Learning Checklistoriginal ↗
14 May 2020
Repeatabilityoriginal ↗
13 May 2020

2019

gamdistoriginal ↗
1 Jun 2019
Optimal Experiment Designoriginal ↗
1 Jun 2019
Three Goals of Statistics: Description, Prediction, and Prescriptionoriginal ↗
13 Apr 2019
Rotations, Orientations, and their Representationsoriginal ↗
9 Jan 2019

2018

Confidence Intervalsoriginal ↗
12 Nov 2018
Rotational Axis Theorem (JIM)original ↗
18 Aug 2018
Statistical Poweroriginal ↗
19 Jun 2018
Counterfactuals and Causal Reasoningoriginal ↗
26 May 2018
Fisher's Exact Testoriginal ↗
25 Mar 2018
A/B Testing, Part 2: Statistical Significanceoriginal ↗
5 Mar 2018
A/B Testing, Part 1: Random Segmentationoriginal ↗
24 Feb 2018
gamdistoriginal ↗
24 Feb 2018
orbpyoriginal ↗
23 Feb 2018
Homebrew-Calcoriginal ↗
22 Feb 2018

2017

Unit Parseroriginal ↗
11 Dec 2017
Star Identification via Computer Vision Techniquesoriginal ↗
1 Jan 2017
A Discussion of Relativistic Phenomena and Construction of Spacetime Diagramsoriginal ↗
1 Jan 2017

2016

Causal Inference and A/B Testingoriginal ↗
24 Mar 2016

2014

Robust Orbit Determination via Convex Optimizationoriginal ↗
4 Jun 2014

2012

ThankBeer: A Beer Recommendation Engineoriginal ↗
4 Dec 2012