corpus.blog
41554 blogs · [ { "id": "01a08740-5454-719b-9bb2-5bee5fcb896f", "title": "One of the things I know is that I don’t know", "url": "https://bithebayesianway.wordpress.com/2025/08/27/one-of-the-things-i-know-is-that-i-dont-know/", "published_at": "2025-08-27T10:33:46+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee606c830c", "title": "The Sine of a Good Network…", "url": "https://bithebayesianway.wordpress.com/2025/08/24/the-sine-of-a-good-network/", "published_at": "2025-08-24T10:49:57+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee61603952", "title": "Auto Encoders and Chess", "url": "https://bithebayesianway.wordpress.com/2025/08/21/auto-encoders-and-chess/", "published_at": "2025-08-21T17:41:32+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee625478a8", "title": "Reinforcement Learning", "url": "https://bithebayesianway.wordpress.com/2025/08/20/reinforcement-learning/", "published_at": "2025-08-20T09:02:11+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee62a75b90", "title": "Bayesain Two Way Fixed Effect", "url": "https://bithebayesianway.wordpress.com/2025/08/18/bayesain-two-way-fixed-effect/", "published_at": "2025-08-18T10:36:23+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee635f1247", "title": "Feature Selection", "url": "https://bithebayesianway.wordpress.com/2025/01/19/feature-selection/", "published_at": "2025-01-19T21:53:53+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee63ea920e", "title": "An ordered categorical regression approach to rating chess players.", "url": "https://bithebayesianway.wordpress.com/2019/12/02/an-ordered-categorical-regression-approach-to-rating-chess-players/", "published_at": "2019-12-02T00:32:10+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee63f8b5a2", "title": "Annealing Neural Networks: Another keeping it real post", "url": "https://bithebayesianway.wordpress.com/2019/10/07/annealing-neural-networks-another-keeping-it-real-post/", "published_at": "2019-10-07T01:42:26+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee64e15173", "title": "Optimizing the choice of objective function", "url": "https://bithebayesianway.wordpress.com/2019/09/09/optimizing-the-choice-of-objective-function/", "published_at": "2019-09-09T02:12:40+00:00" }, { "id": "01a08740-5454-719b-9bb2-5bee65b06c9c", "title": "Neural Nets and linearization; what seemed to be a good idea just does not work.", "url": "https://bithebayesianway.wordpress.com/2019/09/07/neural-nets-and-linearization-what-seemed-to-be-a-good-idea-just-does-not-work/", "published_at": "2019-09-07T18:55:23+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c200342fd8", "title": "Some thoughts on neural nets; the importance of random in back-propagation.", "url": "https://bithebayesianway.wordpress.com/2019/09/06/some-thoughts-on-neural-nets-the-importance-of-random-in-backwards-propagation/", "published_at": "2019-09-06T05:33:59+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c200c6d7fe", "title": "Clustering and other news", "url": "https://bithebayesianway.wordpress.com/2019/06/02/clustering-and-other-news/", "published_at": "2019-06-02T01:37:16+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c20183a6d6", "title": "An introduction or “vulgurization” on Churn", "url": "https://bithebayesianway.wordpress.com/2018/09/10/an-introduction-or-vulgurization-on-churn/", "published_at": "2018-09-10T03:44:51+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c201f46168", "title": "Estimating Passive Churn or Life time Conversion.", "url": "https://bithebayesianway.wordpress.com/2018/07/28/estimating-passive-churn-or-life-time-conversion/", "published_at": "2018-07-28T18:54:18+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c202f22f96", "title": "A short note on risk adjusted Survival functions", "url": "https://bithebayesianway.wordpress.com/2018/07/14/a-short-note-on-risk-adjusted-survival-functions/", "published_at": "2018-07-14T21:43:27+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c203ee8930", "title": "More on Bayesian Split testing", "url": "https://bithebayesianway.wordpress.com/2018/04/15/more-on-bayesian-split-testing/", "published_at": "2018-04-15T21:36:04+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c2043eb649", "title": "The Central Limit Theorem; How to measure information loss.", "url": "https://bithebayesianway.wordpress.com/2018/01/20/the-central-limit-theorem/", "published_at": "2018-01-20T22:54:27+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c2044a5cd4", "title": "Calculating Bayesian Evidence for Cox Proportional Hazards.", "url": "https://bithebayesianway.wordpress.com/2017/11/26/calculating-bayesian-evidence-for-cox-proportional-hazards/", "published_at": "2017-11-26T22:21:53+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c204f9c1fd", "title": "Frailty part 1", "url": "https://bithebayesianway.wordpress.com/2017/10/10/frailty-part-1/", "published_at": "2017-10-10T04:08:14+00:00" }, { "id": "01a0d57a-3496-7388-8d3e-74c205483729", "title": "Plotting your Hazard", "url": "https://bithebayesianway.wordpress.com/2017/10/02/plotting-your-hazard/", "published_at": "2017-10-02T02:03:46+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edaae6c97", "title": "Creating a distribution with a given hazard function.", "url": "https://bithebayesianway.wordpress.com/2017/09/18/creating-a-distribution-with-a-given-hazard-function/", "published_at": "2017-09-18T00:40:40+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edb8c4520", "title": "Weibull parameters for censored data using only SQL", "url": "https://bithebayesianway.wordpress.com/2017/09/13/weibull-parameters-for-censored-data-using-only-sql/", "published_at": "2017-09-13T03:43:59+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edc7edec5", "title": "An brief answer to the unsettling questions raised by interval censored data.", "url": "https://bithebayesianway.wordpress.com/2017/09/09/an-brief-answer-to-the-unsettling-questions-raised-by-interval-censored-data/", "published_at": "2017-09-09T21:21:19+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edcd2d643", "title": "Road map of Survival Analysis posts", "url": "https://bithebayesianway.wordpress.com/2017/06/18/road-map-of-survival-analysis-posts/", "published_at": "2017-06-18T16:42:20+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edd1d1008", "title": "Proportional Hazards (unpacking equation 12)", "url": "https://bithebayesianway.wordpress.com/2017/05/30/proportional-hazards-unpacking-equation-12/", "published_at": "2017-05-30T02:48:22+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edd3e073a", "title": "A short note on Nelson-Aalen", "url": "https://bithebayesianway.wordpress.com/2017/05/22/a-short-note-on-nelson-aalen/", "published_at": "2017-05-22T23:44:52+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edd5b00dc", "title": "Survival Analysis more then just functions in R.", "url": "https://bithebayesianway.wordpress.com/2017/05/15/survival-analysis-more-then-just-the-coxph-function-in-r/", "published_at": "2017-05-15T03:55:31+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597edd8bbc0c", "title": "L1 and L2 Norms", "url": "https://bithebayesianway.wordpress.com/2017/04/24/l1-and-l2-norms/", "published_at": "2017-04-24T01:15:44+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597eddb7a931", "title": "C) Bayesian Linear Regression", "url": "https://bithebayesianway.wordpress.com/2017/04/08/bayesian-linear-regression/", "published_at": "2017-04-08T22:02:35+00:00" }, { "id": "01a0d57b-e5cb-7266-9b4f-597ede01df23", "title": "Regularized Regression: Part B) Ridge Regression.", "url": "https://bithebayesianway.wordpress.com/2017/03/05/regularized-regression-part-b-ridge-regression/", "published_at": "2017-03-05T19:49:05+00:00" }, { "id": "01a0d57e-2d0b-739d-ae41-1c877517332d", "title": "Ridge Regression Appendix", "url": "https://bithebayesianway.wordpress.com/2017/02/28/ridge-regression-appendix/", "published_at": "2017-02-28T05:56:48+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f03361174785", "title": "Regularized Regression: Part A) SVD.", "url": "https://bithebayesianway.wordpress.com/2017/02/21/regularized-regression/", "published_at": "2017-02-21T05:56:28+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f0336178c88e", "title": "Quick and Dirty Model Selection", "url": "https://bithebayesianway.wordpress.com/2017/02/04/quick-and-dirty-model-selection/", "published_at": "2017-02-04T20:49:49+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f03361d56c30", "title": "Posterior Predictive Uncertainty for Linear Models.", "url": "https://bithebayesianway.wordpress.com/2017/01/23/posterior-predictive-uncertainty-for-linear-models/", "published_at": "2017-01-23T02:09:18+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f033625b969c", "title": "Another summary of Linear Models for BI", "url": "https://bithebayesianway.wordpress.com/2017/01/16/another-summary-of-linear-models-for-bi/", "published_at": "2017-01-16T01:04:53+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f033632b8842", "title": "A summary of Linear Models for BI", "url": "https://bithebayesianway.wordpress.com/2017/01/04/a-summary-of-linear-models-for-bi/", "published_at": "2017-01-04T05:39:57+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f0336407e1e4", "title": "A Sleepless Night and Funny Distribution", "url": "https://bithebayesianway.wordpress.com/2016/12/30/a-sleepless-night-and-funny-distribution/", "published_at": "2016-12-30T00:28:08+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f0336419cbde", "title": "The manifesto: Computer science is culturally appropriating statistics and how it must be stopped.", "url": "https://bithebayesianway.wordpress.com/2016/11/07/the-manifesto-computer-science-is-culturally-appropriating-statistics-and-how-it-must-be-stopped/", "published_at": "2016-11-07T05:39:19+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f033650e699a", "title": "Rotated MCMC Sampling and Ordered Categorical Regression", "url": "https://bithebayesianway.wordpress.com/2016/10/02/rotated-mcmc-sampling-and-ordered-categorical-regression/", "published_at": "2016-10-02T02:24:36+00:00" }, { "id": "01a0d57e-2d0c-7152-9413-f03365babd9f", "title": "Estimating User Engagement (Errors-in-variables Regression)", "url": "https://bithebayesianway.wordpress.com/2016/09/04/estimating-user-engagement-errors-in-variables-regression/", "published_at": "2016-09-04T02:13:58+00:00" }, { "id": "01a0d57e-a1c4-72dd-a517-f98e8d30af00", "title": "A hybrid Optimizer", "url": "https://bithebayesianway.wordpress.com/2016/08/19/a-hybrid-optimizer/", "published_at": "2016-08-19T21:25:59+00:00" }, { "id": "01a0d57e-a1c4-72dd-a517-f98e8d6d2229", "title": "Bayesian Text Recognition part 2", "url": "https://bithebayesianway.wordpress.com/2016/08/12/bayesian-text-recognition-part-2/", "published_at": "2016-08-12T02:37:54+00:00" }, { "id": "01a0d57e-a1c4-72dd-a517-f98e8dc66d53", "title": "Bayesian Text Recognition", "url": "https://bithebayesianway.wordpress.com/2016/08/08/bayesian-text-recognition/", "published_at": "2016-08-08T04:43:58+00:00" }, { "id": "01a0d57e-a1c4-72dd-a517-f98e8e20f9ff", "title": "Computationally Efficient Estimation and a Frustrating Distribution that is Fat in the Middle", "url": "https://bithebayesianway.wordpress.com/2016/07/04/computationally-efficient-estimation-and-a-frustrating-distribution-that-is-fat-in-the-middle/", "published_at": "2016-07-04T17:54:17+00:00" }, { "id": "01a0d57e-a1c4-72dd-a517-f98e8e75cfcf", "title": "Chess Visualization", "url": "https://bithebayesianway.wordpress.com/2016/06/12/chess-visualization/", "published_at": "2016-06-12T19:29:58+00:00" }, { "id": "01a0d57e-a1c5-7214-86c7-8c62ac8a4711", "title": "Parallel Tempering / Replica Exchange", "url": "https://bithebayesianway.wordpress.com/2016/05/29/parallel-tempering-replica-exchange/", "published_at": "2016-05-29T01:29:01+00:00" }, { "id": "01a0d57e-a1c5-7214-86c7-8c62ad10ba1d", "title": "Rotating to the maximum correlated space", "url": "https://bithebayesianway.wordpress.com/2016/04/05/rotating-to-the-maximum-correlated-space/", "published_at": "2016-04-05T18:56:16+00:00" }, { "id": "01a0d57e-a1c5-7214-86c7-8c62adf35e25", "title": "Split testing with RJMCMC", "url": "https://bithebayesianway.wordpress.com/2016/03/14/spit-testing-with-rjmcmc/", "published_at": "2016-03-14T18:18:29+00:00" }, { "id": "01a0d57e-a1c5-7214-86c7-8c62ae5a8f2a", "title": "Bayesian AB/Split testing", "url": "https://bithebayesianway.wordpress.com/2016/02/10/bayesian-absplit-testing/", "published_at": "2016-02-10T06:21:11+00:00" }, { "id": "01a0d57e-a1c5-7214-86c7-8c62af228916", "title": "BI for Beginers Part 2", "url": "https://bithebayesianway.wordpress.com/2015/12/07/bi-for-beginers-part-2/", "published_at": "2015-12-07T06:55:33+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188b870866e", "title": "BI for beginers", "url": "https://bithebayesianway.wordpress.com/2015/11/23/bi-for-beginers/", "published_at": "2015-11-23T07:02:06+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188b8a9d4ab", "title": "How to define and model Churn:", "url": "https://bithebayesianway.wordpress.com/2015/08/03/how-to-define-and-model-churn/", "published_at": "2015-08-03T23:53:08+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188b9a405d8", "title": "Over-Dispersion: How sure are you?", "url": "https://bithebayesianway.wordpress.com/2015/07/19/over-dispersion-how-sure-are-you/", "published_at": "2015-07-19T06:27:32+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188b9f7e7bb", "title": "Horseshoes, Hand grenades and Slow-dancing", "url": "https://bithebayesianway.wordpress.com/2015/07/14/horseshoes-hand-grenades-and-slow-dancing/", "published_at": "2015-07-14T06:33:02+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188ba551b7f", "title": "The long promised and anti climatic first draft of data augmentation", "url": "https://bithebayesianway.wordpress.com/2015/07/07/the-long-promiced-and-anti-climatic-first-draft-of-data-aumentation/", "published_at": "2015-07-07T01:17:32+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188baed75d9", "title": "In which the author gets the Reversible Jump Markov Chain Monte Carlo algorithm and trans-dimension inversion off of his chest.", "url": "https://bithebayesianway.wordpress.com/2015/05/25/reversible-jump-markov-chain-monte-carlo-and-trans-dimensional-inversion/", "published_at": "2015-05-25T00:31:08+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188bb798bca", "title": "In which we learn that about Bayesian Evidence, Change Point Detection, and latex.", "url": "https://bithebayesianway.wordpress.com/2015/04/24/change-point-detection/", "published_at": "2015-04-24T02:57:38+00:00" }, { "id": "01a0d57f-178b-7178-af16-a188bbc6c3dd", "title": "In which we learn about our author and his purpose", "url": "https://bithebayesianway.wordpress.com/2015/04/23/in-which-we-learn-about-our-author-and-his-purpose/", "published_at": "2015-04-23T18:46:09+00:00" } ] posts Claim your blog
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bithebayesianway.wordpress.com

2025

One of the things I know is that I don’t knoworiginal ↗
27 Aug 2025
The Sine of a Good Network…original ↗
24 Aug 2025
Auto Encoders and Chessoriginal ↗
21 Aug 2025
Reinforcement Learningoriginal ↗
20 Aug 2025
Bayesain Two Way Fixed Effectoriginal ↗
18 Aug 2025
Feature Selectionoriginal ↗
19 Jan 2025

2019

An ordered categorical regression approach to rating chess players.original ↗
2 Dec 2019
Annealing Neural Networks: Another keeping it real postoriginal ↗
7 Oct 2019
Optimizing the choice of objective functionoriginal ↗
9 Sept 2019
Neural Nets and linearization; what seemed to be a good idea just does not work.original ↗
7 Sept 2019
Some thoughts on neural nets; the importance of random in back-propagation.original ↗
6 Sept 2019
Clustering and other newsoriginal ↗
2 Jun 2019

2018

An introduction or “vulgurization” on Churnoriginal ↗
10 Sept 2018
Estimating Passive Churn or Life time Conversion.original ↗
28 Jul 2018
A short note on risk adjusted Survival functionsoriginal ↗
14 Jul 2018
More on Bayesian Split testingoriginal ↗
15 Apr 2018
The Central Limit Theorem; How to measure information loss.original ↗
20 Jan 2018

2017

Calculating Bayesian Evidence for Cox Proportional Hazards.original ↗
26 Nov 2017
Frailty part 1original ↗
10 Oct 2017
Plotting your Hazardoriginal ↗
2 Oct 2017
Creating a distribution with a given hazard function.original ↗
18 Sept 2017
Weibull parameters for censored data using only SQLoriginal ↗
13 Sept 2017
An brief answer to the unsettling questions raised by interval censored data.original ↗
9 Sept 2017
Road map of Survival Analysis postsoriginal ↗
18 Jun 2017
Proportional Hazards (unpacking equation 12)original ↗
30 May 2017
A short note on Nelson-Aalenoriginal ↗
22 May 2017
Survival Analysis more then just functions in R.original ↗
15 May 2017
L1 and L2 Normsoriginal ↗
24 Apr 2017
C) Bayesian Linear Regressionoriginal ↗
8 Apr 2017
Regularized Regression: Part B) Ridge Regression.original ↗
5 Mar 2017
Ridge Regression Appendixoriginal ↗
28 Feb 2017
Regularized Regression: Part A) SVD.original ↗
21 Feb 2017
Quick and Dirty Model Selectionoriginal ↗
4 Feb 2017
Posterior Predictive Uncertainty for Linear Models.original ↗
23 Jan 2017
Another summary of Linear Models for BIoriginal ↗
16 Jan 2017
A summary of Linear Models for BIoriginal ↗
4 Jan 2017

2016

A Sleepless Night and Funny Distributionoriginal ↗
30 Dec 2016
The manifesto: Computer science is culturally appropriating statistics and how it must be stopped.original ↗
7 Nov 2016
Rotated MCMC Sampling and Ordered Categorical Regressionoriginal ↗
2 Oct 2016
Estimating User Engagement (Errors-in-variables Regression)original ↗
4 Sept 2016
A hybrid Optimizeroriginal ↗
19 Aug 2016
Bayesian Text Recognition part 2original ↗
12 Aug 2016
Bayesian Text Recognitionoriginal ↗
8 Aug 2016
Computationally Efficient Estimation and a Frustrating Distribution that is Fat in the Middleoriginal ↗
4 Jul 2016
Chess Visualizationoriginal ↗
12 Jun 2016
Parallel Tempering / Replica Exchangeoriginal ↗
29 May 2016
Rotating to the maximum correlated spaceoriginal ↗
5 Apr 2016
Split testing with RJMCMCoriginal ↗
14 Mar 2016
Bayesian AB/Split testingoriginal ↗
10 Feb 2016

2015

BI for Beginers Part 2original ↗
7 Dec 2015
BI for beginersoriginal ↗
23 Nov 2015
How to define and model Churn:original ↗
3 Aug 2015
Over-Dispersion: How sure are you?original ↗
19 Jul 2015
Horseshoes, Hand grenades and Slow-dancingoriginal ↗
14 Jul 2015
The long promised and anti climatic first draft of data augmentationoriginal ↗
7 Jul 2015
In which the author gets the Reversible Jump Markov Chain Monte Carlo algorithm and trans-dimension inversion off of his chest.original ↗
25 May 2015
In which we learn that about Bayesian Evidence, Change Point Detection, and latex.original ↗
24 Apr 2015
In which we learn about our author and his purposeoriginal ↗
23 Apr 2015