Check out my new free open source software https://github.com/rrtucci/not-do-calculus not-do-calculus does everything my previous software dag_iden_detector (released exactly one month ago) does plus it can do much much more. Whereas the earlier software could only verify whether a given adjustment formula was valid, this software can also search for and discover adjustment formulae. This software…
Check out my new free open source software https://github.com/rrtucci/dag_iden_detector dag_iden_detector is a Python program for detecting whether an adjustment formula obtained using Judea Pearl’s Do Calculus is correct or not. We consider Pearl’s back door, front door and Napkin adjustment formulae (AF). We prove numerically that the back door and front door AFs are correct. […]
Checkout this new paper (published in ArXiv on May 5, 2026) from China https://arxiv.org/pdf/2605.03701 SERE: Structural Example Retrieval for Enhancing LLMs in EventCausality Identification, byZhifeng Hao, Zhongjie Chen, Junhao Lu, Shengyin Yu, Guimin Hu, Keli Zhang, Ruichu Cai1, Boyan Xu Just sent the following email to all 8 authors. Hi guys, Software challenges can advance […]
Causal Inference workers are often stymied when calculating probabilities from large Bayesian Networks, so new ways of dealing with large DAGs are very desirable. Physicists often deal with large networks too. A tool that has distinguished itself for its wide applicability in dealing with large networks in Physics is the Renormalization Group (RG). RG is […]
I’ve decided to write a new (free, open source) book entitled “Bayesuvius Quantico” about quantum Bayesian networks (qbnets). This will complement my (free, open source) book “Bayesuvius” (1000 pgs) on classical Bayesian Networks (bnets). You can find the latest version here
On April 11, I announced the Mappa Mundi Causal Genomics Challenge, which involves discovering a causal DAG for the DREAM3 dataset. After 2 weeks of intense work, I have finally completed my contestant for that challenge: the open source software gene_causal_mapper (gcmap) https://github.com/rrtucci/gene_causal_mapper gcmap is an open source python program for discovering a causal Dag […]
Recently, I became interested in trying to discover a Causal DAG for the human genome (~21,000 genes), in order to find genetic causes and cures of diseases. Yeast only has ~6,000 genes so I figure I’ll start with yeast, and then, if everything goes well, move up to humans. Discovering a genomic DAG is not […]
https://x.com/i/grok?conversation=1905143513937035553 why is grok still maintaining that it was a conventional explosion if dr. braun has presented 5 nuke signatures that taken together, prove beyond a shadow of a doubt that it was a nuke? Are you claiming that he is lying. If he is not lying, is there any possible scenario that explains his 5 nuke signatures as being produced by a conventional…
https://t.co/baBM1RfLq8 — http://www.ar-tiste.xyz (@artistexyz) March 22, 2025 I’m storing here a conversation I had with Grok on March 22 in case it disappears. Back then Grok was actually quite reasonable and accepted that the evidence presented by Dr. Hans Braun (5 independent nuke signatures) definitely warranted that an international team of nuclear scientists be sent to ground zero to…
In a previous blog post, I mentioned that I had written a paper entitled: “Discovering a Causal DAG for genes via the Mappa Mundi algorithm”. In that blog post, I requested aid from my readers to find a suitable dataset for the algorithm. Here are some suggestions I got on X-Twitter. Gennady Gorin pointed out […]