Learning about Bayesian Statistics

[George Duncan-2]

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

Also of course there are several reasonable texts on Bayesian Statistics.

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[Nick Thompson]

Thank you, George,

 

I will look into it.

 

Nick

 

Nicholas S. Thompson

Emeritus Professor of Psychology and Biology

Clark University

http://home.earthlink.net/~nickthompson/naturaldesigns/

 

From: Friam [mailto:[hidden email]] On Behalf Of George Duncan
Sent: Saturday, February 02, 2019 11:33 AM
To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>
Subject: [FRIAM] Learning about Bayesian Statistics

 

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

 

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

 

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

 

Also of course there are several reasonable texts on Bayesian Statistics.

 

George Duncan

Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com

See posts on Facebook, Twitter, and Instagram

Land: [phone]  

Mobile: [phone]

 
My art theme: Dynamic exposition of the tension between matrix order and luminous chaos.

 

"Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion."

From "Notes to myself on beginning a painting" by Richard Diebenkorn. 

"It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.

 

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
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FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

[Edward Angel]

You might also like Nate Silver’s book “The Signal and the Noise”. It’s almost non technical and has interesting examples of the use and non use of Bayesian reasoning from the house market collapse to evaluating baseball players. 

Ed

____________ 

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon

Santa Fe, NM 87501
505-984-0136 (home)   [hidden email]

505-453-4944 (cell)  http://www.cs.unm.edu/~angel
 

On Feb 3, 2019, at 12:03 AM, George Duncan <[hidden email]> wrote:

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

Also of course there are several reasonable texts on Bayesian Statistics.

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

[Roger Critchlow-2]

You could also look at Richard McElreath's Statistical Rethinking: A Bayesian Course with Examples in R and Stan, a book, software package, and youtube lectures.  McElreath is an anthropologist who studies the development of social learning in primates, so naturally he teaches a statistics course for natural and social scientists focused on getting data to answer scientific questions.  The first two lectures explain why Bayes and why an anthropologist is teaching statistics.

https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI

-- rec --

On Mon, Feb 4, 2019 at 8:28 AM Edward Angel <[hidden email]> wrote:

You might also like Nate Silver’s book “The Signal and the Noise”. It’s almost non technical and has interesting examples of the use and non use of Bayesian reasoning from the house market collapse to evaluating baseball players. 

Ed

____________ 

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon

Santa Fe, NM 87501
505-984-0136 (home)   [hidden email]

505-453-4944 (cell)  http://www.cs.unm.edu/~angel
 

On Feb 3, 2019, at 12:03 AM, George Duncan <[hidden email]> wrote:

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

Also of course there are several reasonable texts on Bayesian Statistics.

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

[Nick Thompson]

Thanks, everybody, for these suggestions. 

 

I should be able to manage extracting data from primates, since that is what my phd was in.

 

N

 

Nicholas S. Thompson

Emeritus Professor of Psychology and Biology

Clark University

http://home.earthlink.net/~nickthompson/naturaldesigns/

 

From: Friam [mailto:[hidden email]] On Behalf Of Roger Critchlow
Sent: Monday, February 04, 2019 8:24 AM
To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>
Subject: Re: [FRIAM] Learning about Bayesian Statistics

 

You could also look at Richard McElreath's Statistical Rethinking: A Bayesian Course with Examples in R and Stan, a book, software package, and youtube lectures.  McElreath is an anthropologist who studies the development of social learning in primates, so naturally he teaches a statistics course for natural and social scientists focused on getting data to answer scientific questions.  The first two lectures explain why Bayes and why an anthropologist is teaching statistics.

 

https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI

 

-- rec --

 

 

On Mon, Feb 4, 2019 at 8:28 AM Edward Angel <[hidden email]> wrote:

You might also like Nate Silver’s book “The Signal and the Noise”. It’s almost non technical and has interesting examples of the use and non use of Bayesian reasoning from the house market collapse to evaluating baseball players. 

 

Ed

____________ 

 

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon

Santa Fe, NM 87501
505-984-0136 (home)   [hidden email]

505-453-4944 (cell)  http://www.cs.unm.edu/~angel
 

 

 

On Feb 3, 2019, at 12:03 AM, George Duncan <[hidden email]> wrote:

 

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

 

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

 

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

 

Also of course there are several reasonable texts on Bayesian Statistics.

 

George Duncan

Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com

See posts on Facebook, Twitter, and Instagram

Land: [phone]  

Mobile: [phone]

 
My art theme: Dynamic exposition of the tension between matrix order and luminous chaos.

 

"Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion."

From "Notes to myself on beginning a painting" by Richard Diebenkorn. 

"It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

 

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

[Barry MacKichan]

Isn’t that what Friday mornings are about?

--Barry (Bonzo)

On 4 Feb 2019, at 15:48, Nick Thompson wrote:

Thanks, everybody, for these suggestions. 

 

I should be able to manage extracting data from primates, since that is what my phd was in.

 

N

 

Nicholas S. Thompson

Emeritus Professor of Psychology and Biology

Clark University

http://home.earthlink.net/~nickthompson/naturaldesigns/

 

From: Friam [mailto:[hidden email]] On Behalf Of Roger Critchlow
Sent: Monday, February 04, 2019 8:24 AM
To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>
Subject: Re: [FRIAM] Learning about Bayesian Statistics

 

You could also look at Richard McElreath's Statistical Rethinking: A Bayesian Course with Examples in R and Stan, a book, software package, and youtube lectures.  McElreath is an anthropologist who studies the development of social learning in primates, so naturally he teaches a statistics course for natural and social scientists focused on getting data to answer scientific questions.  The first two lectures explain why Bayes and why an anthropologist is teaching statistics.

 

https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI

 

-- rec --

 

 

On Mon, Feb 4, 2019 at 8:28 AM Edward Angel <[hidden email]> wrote:

You might also like Nate Silver’s book “The Signal and the Noise”. It’s almost non technical and has interesting examples of the use and non use of Bayesian reasoning from the house market collapse to evaluating baseball players. 

 

Ed

____________ 

 

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon

Santa Fe, NM 87501
505-984-0136 (home)   [hidden email]

505-453-4944 (cell)  http://www.cs.unm.edu/~angel
 

 

 

On Feb 3, 2019, at 12:03 AM, George Duncan <[hidden email]> wrote:

 

At Friday's church service Nick asked about how one might learn the basics of Bayesian statistics. I said I would think about it, and so here are my conclusions.

 

For historical and philosophical background: Read The Emergence of Probability by Ian Hacking

 

For a systematic course: Take Coursera, Bayesian Statistics, a course from Duke University with a 7-day free trial. 

 

Also of course there are several reasonable texts on Bayesian Statistics.

 

George Duncan

Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com

See posts on Facebook, Twitter, and Instagram

Land: [phone]  

Mobile: [phone]

 
My art theme: Dynamic exposition of the tension between matrix order and luminous chaos.

 

"Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion."

From "Notes to myself on beginning a painting" by Richard Diebenkorn. 

"It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

 

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove

============================================================
FRIAM Applied Complexity Group listserv
Meets Fridays 9a-11:30 at cafe at St. John's College
to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
archives back to 2003: http://friam.471366.n2.nabble.com/
FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove