🧭🗺️selling entrepreneurial choice/map as Bayes.Entrep #234
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1. experiment design with bayesian workflow and low vs high bar
low and high bar theory is applied to my situation in Data4DM/Tool4Ops4Entrep#21 (comment) Entrepreneurial experiments and their success measures.
Optimizing experiments for entrepreneurs.
Entrepreneurial optimism and experimentation.
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2. pivotingpivoting started from lean startup movement Kirtley20_pivot_entrep.pdf two papers by Steven Yoo
yoo16_opt-time-alloc-process-improvement-for-growth-focused-entrepre.pdf scott recommended (detail) erin recommended josh kreiger's bec talk image |
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3. theory-driven/scientific approach/bayesnet with experiment infra@mugamma was looking for bayes-net based causal logic structure
to gain insights on enhancing game environments for JB who has expertise on porsche helped me play porshce theory building game - @jeanbaptiste may i ask for your input on below four probabilities - reason we couldn't proceed the game was because we further need to set probability on the edge: below is prompt to extract gpt's causal logic from >20 game's situation (i feel supply, product, demand is too limited and am extending to @chasfine 's seven gear model dynamics ((🏢corporate strategy, 💜customer preference, 🧑🔬technology&innovation , 👮🏻regulatory policy, 𝍁industry structure, 🔄business cycle, 🏦capital market):
Todd Zenger's "Entrepreneurial learning as seeking to gain confidence in a theory’s usefulness" from his talk on What is Bayesian Entrepreneurship - Zenger BEC 2024.pdf From BEC in #234 (comment)
experiment infra
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test2choose1 |
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target audience: Probabilistic Computation evaluators
for BE evaluators, i summarized Probabilistic Computation in sister thread #224
format: Bob Horn's information mural
agenda and participants
white paper.pdf
referenced papers in white paper
human summary of conference
compilation of all of the above + conference presentations slides with below table of contents
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