Blog Archives

What am I missing and what will this paper likely lead researchers to think and do?

October 5, 2017
By

This post is by Keith. In a previous post Ken Rice brought our attention to a recent paper he had published with Julian Higgins and  Thomas Lumley (RHL). After I obtained access and read the paper, I made some critical comments regarding RHL which ended with “Or maybe I missed something.” This post will try to discern […] The post What am I missing and what will this paper likely lead researchers…

Read more »

What you value should set out how you act and that how you represent what to possibly act upon: Aesthetics -> Ethics -> Logic.

September 27, 2017
By

I often include references to CS Peirce in my comments. Some might think way too often. However, this whole post will be trying to extract some morsels of insight from some of his later work. With the hope that it will enable applying statistics more thoughtfully. Now, making sense of Peirce, that is getting him […] The post What you value should set out how you act and that how…

Read more »

What to make of reported statistical analysis summaries: Hear no distinction, see no ensembles, speak of no non-random error.

August 31, 2017
By

Recently there has been a lot of fuss about the inappropriate interpretations and uses of p-values, significance tests, Bayes factors, confidence intervals, credible intervals and almost anything anyone has ever thought of. That is to desperately discern what to make of reported statistical analysis summaries of individual studies –  largely on their own. Including a credible […] The post What to make of reported statistical analysis summaries: Hear no distinction, see…

Read more »

Seemingly intuitive and low math intros to Bayes never seem to deliver as hoped: Why?

August 2, 2017
By

This post was prompted by recent nicely done videos by Rasmus Baath that provide an intuitive and low math introduction to Bayesian material. Now, I do not know that these have delivered less than he hoped for. Nor I have asked him. However, given similar material I and others have tried out in the past that […] The post Seemingly intuitive and low math intros to Bayes never seem to deliver…

Read more »

Take two on Laura Arnold’s TEDx talk.

May 24, 2017
By

This post is by Keith. In this post I try to be more concise and direct about what I found of value in Laura Arnold’s TEDx talk that I recently blogged about here. Primarily it was the disclosure from someone who could afford to buy good evidence (and experts to assess it) that they did not think good […] The post Take two on Laura Arnold’s TEDx talk. appeared first on Statistical Modeling,…

Read more »

Higher credence for the masses: From a Ted talk?

May 16, 2017
By

The Four Most Dangerous Words? A New Study Shows | Laura Arnold | TEDxPennsylvaniaAvenue I brought this link forward in some comments but wanted to promote it to a post as I think its important and I know many folks just do not read comments. As I once heard claimed in a talk on risk […] The post Higher credence for the masses: From a Ted talk? appeared first on…

Read more »

Representists versus Propertyists: RabbitDucks – being good for what?

April 19, 2017
By

It is not that unusual in statistics to get the same statistical output (uncertainty interval, estimate, tail probability,etc.) for every sample, or some samples or the same distribution of outputs or the same expectations of outputs or just close enough expectations of outputs. Then, I would argue one has a variation on a DuckRabbit. In […] The post Representists versus Propertyists: RabbitDucks – being good for what? appeared first on…

Read more »

Applying statistics in science will likely remain unreasonably difficult in my life time: but I have no intention of changing careers.

March 8, 2017
By
Applying statistics in science will likely remain unreasonably difficult in my life time: but I have no intention of changing careers.

This post is by Keith.   (Image from deviantart.com) There are a couple posts I have been struggling to put together, one is on what science is or should be (drawing on Charles Peirce). The other is on why a posterior is not a posterior is not a posterior: even if mathematically equivalent – they are […] The post Applying statistics in science will likely remain unreasonably difficult in my life…

Read more »

The Prior: Fully comprehended last, put first, checked the least?

January 11, 2017
By
The Prior: Fully comprehended last, put first, checked the least?

Priors are important in Bayesian inference. Some would even say : ” In Bayesian inference you can—OK, you must—assign a prior distribution representing the set of values the coefficient [i.e any unknown parameter] can be.” Although priors are put first in most expositions, my sense is that in most applications they are seldom considered first, are […] The post The Prior: Fully comprehended last, put first, checked the least? appeared first…

Read more »

Avoiding only the shadow knowing the motivating problem of a post.

December 12, 2016
By
Avoiding only the shadow knowing the motivating problem of a post.

Graphic From Given I am starting to make some posts to this blog (again) I was pleased to run across a youtube of Xiao-Li Meng being interviewed on the same topic by Suzanne Smith the Director of the Center for Writing and Communicating Ideas. One thing I picked up was to make the problem being addressed […] The post Avoiding only the shadow knowing the motivating problem of a post. appeared…

Read more »


Subscribe

Email:

  Subscribe