The theory that would not die how Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy /
"Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In t...
I tiakina i:
| Kaituhi matua: | McGrayne, Sharon Bertsch |
|---|---|
| Kaituhi rangatōpū: | ebrary, Inc |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
New Haven [Conn.] :
Yale University Press,
2011.
|
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
- Ngā puringa
- Whakaahuatanga
- Rārangi ihirangi
- Ngā Tākupu
- Ētahi Atu Putanga (1)
- Ngā tūemi rite
- Tirohanga kaimahi
Ngā tūemi rite
The theory that would not die how Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy /
mā: McGrayne, Sharon Bertsch
I whakaputaina: (2011)
mā: McGrayne, Sharon Bertsch
I whakaputaina: (2011)
Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999)
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999)
Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999)
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999)
Introduction to Bayesian statistics /
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017)
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017)
Introduction to Bayesian statistics /
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017)
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017)
Rational decisions
mā: Binmore, K. G., 1940-
I whakaputaina: (2009)
mā: Binmore, K. G., 1940-
I whakaputaina: (2009)
Case studies in Bayesian statistical modelling and analysis
I whakaputaina: (2012)
I whakaputaina: (2012)
Rational decisions
mā: Binmore, K. G., 1940-
I whakaputaina: (2009)
mā: Binmore, K. G., 1940-
I whakaputaina: (2009)
Case studies in Bayesian statistical modelling and analysis
I whakaputaina: (2012)
I whakaputaina: (2012)
Bayesian modeling using WinBUGS
mā: Ntzoufras, Ioannis, 1973-
I whakaputaina: (2009)
mā: Ntzoufras, Ioannis, 1973-
I whakaputaina: (2009)
Bayesian analysis of stochastic process models
mā: Ríos Insua, David, 1964-
I whakaputaina: (2012)
mā: Ríos Insua, David, 1964-
I whakaputaina: (2012)
Bayesian statistics an introduction /
mā: Lee, Peter M.
I whakaputaina: (2012)
mā: Lee, Peter M.
I whakaputaina: (2012)
Applied Bayesian modelling /
mā: Congdon, P.
I whakaputaina: (2014)
mā: Congdon, P.
I whakaputaina: (2014)
Bayesian modeling using WinBUGS
mā: Ntzoufras, Ioannis, 1973-
I whakaputaina: (2009)
mā: Ntzoufras, Ioannis, 1973-
I whakaputaina: (2009)
Bayesian analysis of stochastic process models
mā: Ríos Insua, David, 1964-
I whakaputaina: (2012)
mā: Ríos Insua, David, 1964-
I whakaputaina: (2012)
Bayesian statistics an introduction /
mā: Lee, Peter M.
I whakaputaina: (2012)
mā: Lee, Peter M.
I whakaputaina: (2012)
Applied Bayesian modelling /
mā: Congdon, P.
I whakaputaina: (2014)
mā: Congdon, P.
I whakaputaina: (2014)
Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling /
mā: Gurski, Daniel
I whakaputaina: (2014)
mā: Gurski, Daniel
I whakaputaina: (2014)
Customer experiences affect customer loyalty : an empirical investigation of the starbucks experience using structural equation modeling /
mā: Gurski, Daniel
I whakaputaina: (2014)
mā: Gurski, Daniel
I whakaputaina: (2014)
Bayesian reliability
I whakaputaina: (2008)
I whakaputaina: (2008)
Bayesian reliability
I whakaputaina: (2008)
I whakaputaina: (2008)
Bayesian estimation and tracking a practical guide /
mā: Haug, Anton J., 1941-
I whakaputaina: (2012)
mā: Haug, Anton J., 1941-
I whakaputaina: (2012)
Bayesian estimation and tracking a practical guide /
mā: Haug, Anton J., 1941-
I whakaputaina: (2012)
mā: Haug, Anton J., 1941-
I whakaputaina: (2012)
Approximation methods for efficient learning of Bayesian networks
mā: Riggelsen, Carsten
I whakaputaina: (2008)
mā: Riggelsen, Carsten
I whakaputaina: (2008)
Approximation methods for efficient learning of Bayesian networks
mā: Riggelsen, Carsten
I whakaputaina: (2008)
mā: Riggelsen, Carsten
I whakaputaina: (2008)
Hierarchical modelling for the environmental sciences statistical methods and applications /
I whakaputaina: (2006)
I whakaputaina: (2006)
Spatial and spatio-temporal Bayesian models with R-INLA /
mā: Blangiardo, Marta, me ētahi atu.
I whakaputaina: (2015)
mā: Blangiardo, Marta, me ētahi atu.
I whakaputaina: (2015)
Bayesian networks for probabilistic inference and decision analysis in forensic science /
mā: Taroni, Franco
I whakaputaina: (2014)
mā: Taroni, Franco
I whakaputaina: (2014)
Hierarchical modelling for the environmental sciences statistical methods and applications /
I whakaputaina: (2006)
I whakaputaina: (2006)
Spatial and spatio-temporal Bayesian models with R-INLA /
mā: Blangiardo, Marta, me ētahi atu.
I whakaputaina: (2015)
mā: Blangiardo, Marta, me ētahi atu.
I whakaputaina: (2015)
Bayesian networks for probabilistic inference and decision analysis in forensic science /
mā: Taroni, Franco
I whakaputaina: (2014)
mā: Taroni, Franco
I whakaputaina: (2014)
Statistical decision theory : estimation, testing, and selection /
mā: Liese, Friedrich
I whakaputaina: (2008)
mā: Liese, Friedrich
I whakaputaina: (2008)
Statistical decision theory : estimation, testing, and selection /
mā: Liese, Friedrich
I whakaputaina: (2008)
mā: Liese, Friedrich
I whakaputaina: (2008)
Statistical decision theory estimation, testing, and selection /
mā: Liese, Friedrich, 1944-
I whakaputaina: (2008)
mā: Liese, Friedrich, 1944-
I whakaputaina: (2008)
Statistical decision theory estimation, testing, and selection /
mā: Liese, Friedrich, 1944-
I whakaputaina: (2008)
mā: Liese, Friedrich, 1944-
I whakaputaina: (2008)
Theory of conditional games
mā: Stirling, Wynn C.
I whakaputaina: (2012)
mā: Stirling, Wynn C.
I whakaputaina: (2012)
Theory of conditional games
mā: Stirling, Wynn C.
I whakaputaina: (2012)
mā: Stirling, Wynn C.
I whakaputaina: (2012)
Decision making and programming
mā: Kolbin, V. V. (Vi͡acheslav Viktorovich), 1941-
I whakaputaina: (2003)
mā: Kolbin, V. V. (Vi͡acheslav Viktorovich), 1941-
I whakaputaina: (2003)
Decision making and programming
mā: Kolbin, V. V. (Vi͡acheslav Viktorovich), 1941-
I whakaputaina: (2003)
mā: Kolbin, V. V. (Vi͡acheslav Viktorovich), 1941-
I whakaputaina: (2003)
Introduction to bayesian statistics /
mā: Bolstand, William M.
I whakaputaina: (2007)
mā: Bolstand, William M.
I whakaputaina: (2007)
Ngā tūemi rite
-
The theory that would not die how Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy /
mā: McGrayne, Sharon Bertsch
I whakaputaina: (2011) -
Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999) -
Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
mā: Leonard, Thomas, 1948-
I whakaputaina: (1999) -
Introduction to Bayesian statistics /
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017) -
Introduction to Bayesian statistics /
mā: Bolstad, William M., me ētahi atu.
I whakaputaina: (2017)