000			01347nam a22001937a 4500
005			20240426133530.0
008			240426b ph ||||| |||| 00| 0 eng d
040			_cOCT
100			_aSchutt, Harm
240			_aJournal of Financial Reporting / _hFall 2023
245			_aWhat can Bayesian inference do for accounting research? / _cHarm Schutt
300			_aVol 8 (2) pages 157-174 : _billustrations ; _c28 cm
500			_aABSTRACT: Bayesian statistics is a framework for combining new data with existing forms of information to yield more precise inferences than are possible using the data alone. Its greatest practical advantages are the flexibility it offers in incorporating prior information and beliefs, modeling heterogeneity, modeling latent constructs, and combining multiple data sources. There are two goals of this paper: to introduce accounting researchers to Bayesian inference and distinguish it from classical frequentist inference and to showcase when Bayesian modeling can improve inferences in many applications that are of interest to accounting researchers. Data Availability: Data are available from the public sources described in the text.
650			_aaccounting research
650			_aBayesian statistics
650			_aquantifying uncertainty
650			_ameasuring latent constructs
942			_2ddc _cCR _n0
999			_c9573 _d9573