Tomorrow, for the final lecture of the Mathematical Statistics course, I will try to illustrate - using Monte Carlo simulations - the difference between classical statistics, and the Bayesien approach. The (simple) way I see it is the following, for frequentists, a probability is a measure of the the frequency of repeated events, so the interpretation is that parameters are fixed (but unknown), and data are random for Bayesians, a probability is a measure of the degree of certainty about..
The calculation of a confidence interval, which together with the hypothesis testing is the best kno...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
[1] Confidence intervals based on classical regression theories augmented to include prior informati...
It is well known that one of the conflicts between Bayesian and frequentist approach to inference li...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
‘The fallacy of placing confidence in confidence intervals’ (Morey et al., 2016, Psychonomic Bulleti...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
In its orthodoxy standard frequentist statistics deals only with aleatory probability, suppressing t...
In the minds of most statisticians there are (at least) two mutually exclusive approaches to data an...
Classical confidence intervals are often misunderstood by particle physicists and the general public...
Interval estimates – estimates of parameters that include an allowance for sampling uncertainty – ha...
Frequentist (classical) and Bayesian approaches to the construction of confidence limits are compare...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
I have been asked to write an extremely short explanation of the Bayesian approach to evidentiary is...
The calculation of a confidence interval, which together with the hypothesis testing is the best kno...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
[1] Confidence intervals based on classical regression theories augmented to include prior informati...
It is well known that one of the conflicts between Bayesian and frequentist approach to inference li...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst the...
‘The fallacy of placing confidence in confidence intervals’ (Morey et al., 2016, Psychonomic Bulleti...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
In its orthodoxy standard frequentist statistics deals only with aleatory probability, suppressing t...
In the minds of most statisticians there are (at least) two mutually exclusive approaches to data an...
Classical confidence intervals are often misunderstood by particle physicists and the general public...
Interval estimates – estimates of parameters that include an allowance for sampling uncertainty – ha...
Frequentist (classical) and Bayesian approaches to the construction of confidence limits are compare...
Based on the observation that frequentist confidence intervals and Bayesian credible intervals somet...
I have been asked to write an extremely short explanation of the Bayesian approach to evidentiary is...
The calculation of a confidence interval, which together with the hypothesis testing is the best kno...
I agree with Rob Kass’ point that we can and should make use of statistical methods developed under ...
[1] Confidence intervals based on classical regression theories augmented to include prior informati...