37 books
—
1 voter
Bayesian Books
Showing 1-50 of 58

by (shelved 9 times as bayesian)
avg rating 4.21 — 536 ratings — published 1995

by (shelved 7 times as bayesian)
avg rating 4.35 — 371 ratings — published

by (shelved 6 times as bayesian)
avg rating 3.94 — 281 ratings — published 2012

by (shelved 5 times as bayesian)
avg rating 4.18 — 489 ratings — published

by (shelved 5 times as bayesian)
avg rating 4.36 — 290 ratings — published 2006

by (shelved 5 times as bayesian)
avg rating 4.18 — 98 ratings — published 1996

by (shelved 4 times as bayesian)
avg rating 4.70 — 514 ratings — published 2015

by (shelved 4 times as bayesian)
avg rating 4.10 — 193 ratings — published 2012

by (shelved 3 times as bayesian)
avg rating 4.32 — 1,890 ratings — published

by (shelved 3 times as bayesian)
avg rating 3.99 — 209 ratings — published 2014

by (shelved 2 times as bayesian)
avg rating 4.02 — 156 ratings — published 2016

by (shelved 2 times as bayesian)
avg rating 3.42 — 43 ratings — published 2007

by (shelved 2 times as bayesian)
avg rating 4.16 — 25 ratings — published 2005

by (shelved 2 times as bayesian)
avg rating 3.97 — 39 ratings — published

by (shelved 2 times as bayesian)
avg rating 4.19 — 257 ratings — published 2009

by (shelved 2 times as bayesian)
avg rating 3.54 — 13 ratings — published 2004

by (shelved 2 times as bayesian)
avg rating 3.77 — 2,760 ratings — published 2011

by (shelved 1 time as bayesian)
avg rating 4.48 — 75 ratings — published

by (shelved 1 time as bayesian)
avg rating 3.90 — 817 ratings — published 2016

by (shelved 1 time as bayesian)
avg rating 3.00 — 3 ratings — published 2004

by (shelved 1 time as bayesian)
avg rating 4.10 — 248 ratings — published 2016

by (shelved 1 time as bayesian)
avg rating 4.00 — 5 ratings — published 2000

by (shelved 1 time as bayesian)
avg rating 0.0 — 0 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.03 — 971 ratings — published 2024

by (shelved 1 time as bayesian)
avg rating 4.50 — 2 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.38 — 312 ratings — published 2013

by (shelved 1 time as bayesian)
avg rating 4.26 — 119 ratings — published

by (shelved 1 time as bayesian)
avg rating 3.83 — 6 ratings — published 1991

by (shelved 1 time as bayesian)
avg rating 3.63 — 341 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.57 — 123 ratings — published 1997

by (shelved 1 time as bayesian)
avg rating 4.34 — 521 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.19 — 36 ratings — published 1993

by (shelved 1 time as bayesian)
avg rating 4.17 — 23 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.17 — 1,450 ratings — published 1982

by (shelved 1 time as bayesian)
avg rating 4.67 — 3 ratings — published

by (shelved 1 time as bayesian)
avg rating 4.40 — 339 ratings — published 2013

by (shelved 1 time as bayesian)
avg rating 4.43 — 1,874 ratings — published 2001

by (shelved 1 time as bayesian)
avg rating 3.94 — 6,455 ratings — published 2018

by (shelved 1 time as bayesian)
avg rating 3.97 — 52,055 ratings — published 2012

by (shelved 1 time as bayesian)
avg rating 3.92 — 933 ratings — published 2018

by (shelved 1 time as bayesian)
avg rating 3.85 — 26 ratings — published 2006

by (shelved 1 time as bayesian)
avg rating 3.50 — 6 ratings — published 2013

by (shelved 1 time as bayesian)
avg rating 3.71 — 56 ratings — published 2004

by (shelved 1 time as bayesian)
avg rating 4.02 — 53 ratings — published 2009

by (shelved 1 time as bayesian)
avg rating 3.96 — 26 ratings — published 1997

by (shelved 1 time as bayesian)
avg rating 3.72 — 5,983 ratings — published 2007

by (shelved 1 time as bayesian)
avg rating 4.21 — 29 ratings — published 1997

by (shelved 1 time as bayesian)
avg rating 4.08 — 21,812 ratings — published 2015

by (shelved 1 time as bayesian)
avg rating 3.75 — 4 ratings — published 2012

by (shelved 1 time as bayesian)
avg rating 3.50 — 4 ratings — published 2003
“With Bayesian networks, we had taught machines to think in shades of grey, and this was an important step toward humanlike thinking. But we still couldn't teach machines to understand causes and effects. We couldn't explain to a computer why turning the dial of a barometer won't cause rain.... Without the ability to envision alternate realities and contrast them with the currently existing reality, a machine...cannot answer the most basic question that makes us human: "Why?”
― The Book of Why: The New Science of Cause and Effect
― The Book of Why: The New Science of Cause and Effect
“Although Ramsey's and de Finetti's accounts endowed an agent's probabilities with a purely subjective status they knew that, for from rendering those quantities scientifically valueless, the condition of consistency combined with the rule of conditionalization supports a powerful new epistemology called Bayesian epistemology. Its scientific appeal lies principally in two features: (i) so-called Bayesian networks are not only extremely powerful diagnostic tools but also provide the formal basis of some of the most revolutionary developments in AI; (ii) in fairly general circumstances agents with different initial, or prior, probability functions will, with enough new information, find their updated probabilities converging; in this way, it is claimed, objectivity is realized as an emergent property of consistent subjective assignments.”
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