Many educators of statistics have considered the idea of introducing Bayesian statistical inference into so called 'Bayes for Beginners' courses. There are also many others who have cautioned against doing so, citing the widespread acceptance of conventional statistical methods as a reason to hesitate. A good compromise would see both methods being taught in an integrated fashion to give a student the best of both inferential worlds. This paper will briefly overview Integrated Statistical Inference (ISI), a method for delivering both Bayesian and conventional concepts in an introductory statistics course
textThis paper will outline some of the key parts of the Statistics course offered through the UTeac...
This fifth edition of a classic text is appropriate for a one semester general course in Applied Sta...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
This book presents an account of the Bayesian and frequentist approaches to statistical inference. I...
There is a current emphasis on making the introductory statistics class more dataoriented. Data dist...
Carranza & Kuzniak (2008) have analysed the negative impact of reducing probability to a purely ...
University courses in elementary statistics are usually taught from a frequentist perspective. In th...
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood A...
The methods of teaching statistical inference vary and too often, insufficient links are made to the...
The demands for a statistically literate society are increasing, and the introductory statistics cou...
Students of statistics should be taught the ideas and methods that are widely used in practice and t...
This textbook covers the fundamentals of statistical inference and statistical theory including Baye...
Should we teach Bayesian statistics in a general introductory course? I agree with Moore’s answer: t...
In the field of statistical inference, there are two primary schools of thought. Each has its propon...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
textThis paper will outline some of the key parts of the Statistics course offered through the UTeac...
This fifth edition of a classic text is appropriate for a one semester general course in Applied Sta...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...
This book presents an account of the Bayesian and frequentist approaches to statistical inference. I...
There is a current emphasis on making the introductory statistics class more dataoriented. Data dist...
Carranza & Kuzniak (2008) have analysed the negative impact of reducing probability to a purely ...
University courses in elementary statistics are usually taught from a frequentist perspective. In th...
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood A...
The methods of teaching statistical inference vary and too often, insufficient links are made to the...
The demands for a statistically literate society are increasing, and the introductory statistics cou...
Students of statistics should be taught the ideas and methods that are widely used in practice and t...
This textbook covers the fundamentals of statistical inference and statistical theory including Baye...
Should we teach Bayesian statistics in a general introductory course? I agree with Moore’s answer: t...
In the field of statistical inference, there are two primary schools of thought. Each has its propon...
This tutorial on Bayesian inference targets psychological researchers who are trained in the null hy...
textThis paper will outline some of the key parts of the Statistics course offered through the UTeac...
This fifth edition of a classic text is appropriate for a one semester general course in Applied Sta...
This chapter provides a general overview of Bayesian statistical methods. Topics include the notion ...